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The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F7B27SGV","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.01db4134-3223-406f-ab88-6ba612317729.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_01db4134-3223-406f-ab88-6ba612317729","keyword":["Aneides hardii","Chiricahua Leopard Frog","Jemez Mountains Salamander","Lithobates chiricahuensis","Plethodon neomexicanus","Sacramento Mountain Salamander","USGS:01db4134-3223-406f-ab88-6ba612317729","amphibians","bioclimatic-envelope","biota","climatologyMeteorologyAtmosphere","external research support","geospatial datasets","herpetofauna"],"modified":"2026-08-19T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-112.5861, 31.3322, -106.4861, 35.4988","theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for amphibian species in South Central USA"},"description":"This dataset contains the result of the bioclimatic-envelope modeling of the three amphibian species -- the Sacramento Mountain Salamander (Aneides hardii), the Jemez Mountains Salamander (Plethodon neomexicanus), and the Chiricahua Leopard Frog (Lithobates chiricahuensis) -- in the South Central US using the downscaled data provided by WorldClim.  We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone.  We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR).  We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5).  Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070.  It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day.  The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a436f8a5-d4d9-4d55-b36a-fb26d59fdbc3","harvest_record_raw":"https://catalog.data.gov/harvest_record/a436f8a5-d4d9-4d55-b36a-fb26d59fdbc3/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_01db4134-3223-406f-ab88-6ba612317729","keyword":["Aneides hardii","Chiricahua Leopard Frog","Jemez Mountains Salamander","Lithobates chiricahuensis","Plethodon neomexicanus","Sacramento Mountain Salamander","USGS:01db4134-3223-406f-ab88-6ba612317729","amphibians","bioclimatic-envelope","biota","climatologyMeteorologyAtmosphere","external research support","geospatial datasets","herpetofauna"],"last_harvested_date":"2026-08-22T01:19:56.896364","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"projected-future-bioclimate-envelope-suitability-for-amphibian-species-in-south-central-us","spatial_centroid":{"lat":32.99884,"lon":-110.1461},"spatial_shape":{"coordinates":[[[-112.5861,31.3322],[-112.5861,35.4988],[-106.4861,35.4988],[-106.4861,31.3322],[-112.5861,31.3322]]],"type":"Polygon"},"theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for amphibian species in South Central USA","type":"dataset"},{"_score":9.862625,"_sort":[1787360644589,9.862625,0,"a5bb603f-4bb0-4e46-a0c8-d4b5f875080d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jonathan Armstrong","hasEmail":"mailto:jonathan.armstrong@oregonstate.edu"},"description":"Temperature exerts a profound influence on the metabolism of fishes, with a cascade of consequences for behavior, growth, and survival. Spatially detailed temperature data are increasingly available, yet how temperature variation functions to support multiple life stages of fish is rarely known at similar scales. We surveyed cool springs identified by infrared technology to quantify their functionality as thermal refuges for juvenile and adult salmonids in the warm Sprague River sub-basin. Juvenile trout inhabited approximately half of potential refuges and were most prevalent in ponds and their outflow channels. Larger size classes were present in just 10% of refuges and were more prevalent in plumes. All trout selected cool, oxygenated habitats, but refuges occupied by larger trout were colder and deeper. Regression models for juvenile trout suggested that complex refuges, especially those associated with beaver dams, were more likely to be occupied; further, those containing complementary habitat types also contained more trout. \nBasin-scale analyses revealed that Sprague River springs provided minimal thermal refuge for the meta-population of large migratory trout in summer. However, these springs were a premier location for winter spawning in the Upper Klamath Basin and offered a moderate degree of warm refuge when temperatures were near freezing. Our results imply that temperature variation may also be used differently among life stages by other recolonizing salmonid species after upcoming dam removal in the basin. Future efforts to identify thermal refuges should consider ontogenetic variation and additional ecological relationships that may affect the functionality of cold water to fish.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P13MXIHR","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.fa23339a-fb01-48d4-b870-cf52adda983e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_fa23339a-fb01-48d4-b870-cf52adda983e","keyword":["USGS:fa23339a-fb01-48d4-b870-cf52adda983e","biota","climate change","external research support","thermal refuge","trout"],"modified":"2026-08-19T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-124.5500, 41.9800, -116.4600, 46.2700","theme":["geospatial"],"title":"Life-stage-specific thermal refuge use by redband trout Oncorhynchus mykiss newberrii in the Upper Klamath Basin, Oregon, USA"},"description":"Temperature exerts a profound influence on the metabolism of fishes, with a cascade of consequences for behavior, growth, and survival. 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It was created through object based image analysis of high resolution imagery from 2006 and 2009. Each wetland location has an associated surface water hydrograph constructed from spectral mixture analysis of Landsat satellite imagery (1983 \u2013 2011).  Hydrologic data is stored in an associated csv file and can be linked to the data through a unique identifier (Wetland_ID). 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This dataset includes encounter histories for each bird and individual covariate values for demographic information, weekly weather conditions, and land cover.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/1xt7-m648","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.c262dd7b-ee76-433b-ae8f-90dd477106a8.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c262dd7b-ee76-433b-ae8f-90dd477106a8","keyword":["Ruffed Grouse","Sandhill State Wildlife Area","USGS:c262dd7b-ee76-433b-ae8f-90dd477106a8","Winter Survival Data","Wisconsin","biota","climate change","color polymorphism","ecology","external research support","phenotypic mismatch","winter","winter ecology"],"modified":"2026-08-19T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-90.2527, 44.2973, -90.1126, 44.3985","theme":["geospatial"],"title":"Known fate encounter histories of overwintering Ruffed Grouse (Bonasa umbellus) in Sandhill Wildlife Area, Babcock, Wisconsin (2015 - 2022). "},"description":"Monitoring overwinter survival is valuable for understanding population dynamics of winter-adapted species. We quantified overwinter survival of Ruffed grouse (Bonasa umbellus) in Sandhill State Wildlife Area in Wisconsin using data from radio-collared birds. We used known fate survival models to quantify weekly survival across five winter seasons. 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Climate scenarios include no climate change, Hadley global circulation model, and RegCM3 regional circulation model.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P145U26M","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.b94832e2-05db-4f08-9790-3273d96fbf2f.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b94832e2-05db-4f08-9790-3273d96fbf2f","keyword":["Pacific Coast","Pacific Northwest","Stream temperature","USGS:b94832e2-05db-4f08-9790-3273d96fbf2f","Washington","biota","climate change","economy","external research support","habitats","land management","modeling","state and transition modeling","vegetation change","vulnerability assessment","wildlife habitat"],"modified":"2026-08-18T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-124.7534, 46.0432, -122.4771, 48.4548","theme":["geospatial"],"title":"Future Spotted Owl Habitat Projections, Northwest Washington Study Area, 2007-2096"},"description":"Collection of model inputs and outputs examining different combinations of management and climate scenarios run in northwest Washington. 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Climate scenarios include no climate change, Hadley global circulation model, and RegCM3 regional circulation model.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ab780c2d-70c6-43e6-ada4-7e62552d9028","harvest_record_raw":"https://catalog.data.gov/harvest_record/ab780c2d-70c6-43e6-ada4-7e62552d9028/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b94832e2-05db-4f08-9790-3273d96fbf2f","keyword":["Pacific Coast","Pacific Northwest","Stream temperature","USGS:b94832e2-05db-4f08-9790-3273d96fbf2f","Washington","biota","climate change","economy","external research support","habitats","land management","modeling","state and transition modeling","vegetation change","vulnerability assessment","wildlife habitat"],"last_harvested_date":"2026-08-21T01:07:15.270240","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"future-spotted-owl-habitat-projections-northwest-washington-study-area-2007-2096","spatial_centroid":{"lat":47.00784,"lon":-123.84288},"spatial_shape":{"coordinates":[[[-124.7534,46.0432],[-124.7534,48.4548],[-122.4771,48.4548],[-122.4771,46.0432],[-124.7534,46.0432]]],"type":"Polygon"},"theme":["geospatial"],"title":"Future Spotted Owl Habitat Projections, Northwest Washington Study Area, 2007-2096","type":"dataset"},{"_score":8.504244,"_sort":[1787187004124,8.504244,0,"44b53134-4270-4616-aa54-ca46df217373"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Alice Besterman","hasEmail":"mailto:abesterman@towson.edu"},"description":"These data were collected as a part of a replicated BACI (before-after-control-impact) designed study to test the efficacy of restoration using runnels, at two marshes with differing hydrology and geomorphology. 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These data were averaged over several field campaigns between 2020 and 2023.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8ba06de8-2f37-41c9-ae4f-b0ca5cc59e04","harvest_record_raw":"https://catalog.data.gov/harvest_record/8ba06de8-2f37-41c9-ae4f-b0ca5cc59e04/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f8d0e3b66b01f26a042d8b","keyword":["Allens Pond","Atlantic Ocean","Buzzards Bay","Massachusetts","Nasketucket Bay","Northeast United States","USGS:69f8d0e3b66b01f26a042d8b","United States","climate change","coastal ecosystems","elevation","environment","oceans","sea-level change","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:50:04.124333","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"elevation-and-tidal-datums-for-salt-marsh-sites-in-buzzards-bay-ma-from-2020-2023","spatial_centroid":{"lat":41.551660000000005,"lon":-70.95082},"spatial_shape":{"coordinates":[[[-71.0651,41.4859],[-71.0651,41.6503],[-70.7794,41.6503],[-70.7794,41.4859],[-71.0651,41.4859]]],"type":"Polygon"},"theme":["geospatial"],"title":"Elevation and tidal datums for salt marsh sites in Buzzards Bay, MA from 2020-2023","type":"dataset"},{"_score":16.432041,"_sort":[1787186382075,16.432041,0,"954c6e47-a280-4b9c-8818-314c467c197b"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Marc Pons","hasEmail":"mailto:info@ceg.group"},"description":"This single-band float32 GeoTIFF raster represents a spatially smoothed vulnerability\nindex for sagebrush (Artemisia spp.) ecosystems at the northern extent of the sagebrush\nbiome, spanning the US\u2013Canada border region from north-central Montana into\nsoutheastern Alberta and southwestern Saskatchewan, with smaller portions of Wyoming,\nNorth Dakota, and South Dakota (approximately 46.0\u00b0N to 51.1\u00b0N latitude, 102.0\u00b0W to\n113.3\u00b0W longitude). The area falls primarily within the Northwestern Glaciated Plains\nand Northwestern Great Plains ecoregions (EPA Level III / CEC ecoregion classification),\nwith its western edge reaching the Rocky Mountain Front and Canadian Rockies foothills.\nThis region is the northernmost range of the Greater Sage-Grouse (Centrocercus\nurophasianus), centered on the Milk River and Frenchman River basins, and is sometimes\nreferred to informally as the greater northern sagebrush biome. Vulnerability values\nare continuous and range from 1 (lowest vulnerability) to 8 (highest vulnerability),\nreflecting a composite assessment of exposure, sensitivity, and adaptive capacity of\nsagebrush ecosystems to stressors including climate change, invasive species (e.g.,\ncheatgrass, Bromus tectorum), wildfire, and land conversion. A focal mean filter with\na window size of 10 pixels was applied to the source vulnerability raster. At the\nnative 100 m (nominal, projected-CRS) cell resolution, this window corresponds to a\nnominal 1,000 m ground footprint \u2014 see Positional Accuracy below for a caveat on true\nground distance under this projection. This smoothing reduces local pixel-level noise\nand emphasizes landscape-scale vulnerability patterns. The raster is projected in\nWGS 84 / Pseudo-Mercator (EPSG:3857) \u2014 selected for compatibility with ArcGIS Online\npublishing \u2014 with a datum of WGS84 (not NAD83). 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The area falls primarily within the Northwestern Glaciated Plains\nand Northwestern Great Plains ecoregions (EPA Level III / CEC ecoregion classification),\nwith its western edge reaching the Rocky Mountain Front and Canadian Rockies foothills.\nThis region is the northernmost range of the Greater Sage-Grouse (Centrocercus\nurophasianus), centered on the Milk River and Frenchman River basins, and is sometimes\nreferred to informally as the greater northern sagebrush biome. Vulnerability values\nare continuous and range from 1 (lowest vulnerability) to 8 (highest vulnerability),\nreflecting a composite assessment of exposure, sensitivity, and adaptive capacity of\nsagebrush ecosystems to stressors including climate change, invasive species (e.g.,\ncheatgrass, Bromus tectorum), wildfire, and land conversion. A focal mean filter with\na window size of 10 pixels was applied to the source vulnerability raster. At the\nnative 100 m (nominal, projected-CRS) cell resolution, this window corresponds to a\nnominal 1,000 m ground footprint \u2014 see Positional Accuracy below for a caveat on true\nground distance under this projection. This smoothing reduces local pixel-level noise\nand emphasizes landscape-scale vulnerability patterns. The raster is projected in\nWGS 84 / Pseudo-Mercator (EPSG:3857) \u2014 selected for compatibility with ArcGIS Online\npublishing \u2014 with a datum of WGS84 (not NAD83). 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Walleye Sander vitreus, the most sought-after game fish in north-central North America supporting robust recreational and tribal fisheries, have declined. Climate change, harvest, invasive species, and concurrent increases in warm-water species (e.g., Centrarchidae) are implicated in declines. The Resist-Accept-Direct (RAD) framework provides a structure to reconcile managing ecosystem transformations. To examine the utility of intensive resist actions, we conducted an experimental removal of centrarchids in a north temperate lake. We removed ~300,000 centrarchids from a lake over four years while monitoring the fish community response. Centrarchid abundance declined, yet we found no evidence of walleye recruitment but yellow perch Perca flavescens greatly increased. We present these findings to discuss the feasibility of resistance as a management strategy in supporting walleye fisheries facing environmental change as well as a segue for management discussions to move beyond traditional resist strategies when navigating ecosystem change.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14MU9WM","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.659f2437d34e5af967a350a2.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_659f2437d34e5af967a350a2","keyword":["USGS:659f2437d34e5af967a350a2","climate change","farming","field experiments","inland fishery resources"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-90.2554, 45.6620, -89.6786, 46.1132","theme":["geospatial"],"title":"Catch and Biomass per unit effort of fishes in two Northern Wisconsin lakes from 2017-2021"},"description":"Inland lake ecosystems are transforming due to unprecedented effects of climate changes and disturbance along riparian habitat, diminishing their potential to support fisheries. Walleye Sander vitreus, the most sought-after game fish in north-central North America supporting robust recreational and tribal fisheries, have declined. Climate change, harvest, invasive species, and concurrent increases in warm-water species (e.g., Centrarchidae) are implicated in declines. The Resist-Accept-Direct (RAD) framework provides a structure to reconcile managing ecosystem transformations. To examine the utility of intensive resist actions, we conducted an experimental removal of centrarchids in a north temperate lake. We removed ~300,000 centrarchids from a lake over four years while monitoring the fish community response. Centrarchid abundance declined, yet we found no evidence of walleye recruitment but yellow perch Perca flavescens greatly increased. 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We developed and calibrated WARMER-Coast, an intermediate-complexity modeling framework, to simulate tidal wetland evolution, assess potential upslope migration pathways, and evaluate management scenarios developed in consultation with local stakeholders. WARMER-Coast couples the 1-D soil cohort model WARMER v3 with a simplified 2-D hydrodynamic framework to simulate inundation, sediment transport, surface and edge erosion, plant growth, organic matter accumulation, and carbon storage. Model calibration leveraged extensive field observations, including water-level monitoring, elevation and vegetation surveys, surface elevation table measurements, soil cores, feldspar marker horizons, and short-term sediment deposition measurements. We applied the calibrated model to project marsh and seagrass habitat trajectories across five SLR scenarios and three sediment regimes. Results identify where habitat persistence, conversion, and upslope migration are most likely, and provide a framework for comparing the relative effectiveness of adaptive management actions in Morro Bay and other vulnerable estuaries.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P1BMNQN3","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a7a2d731ba49b951e84040b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a7a2d731ba49b951e84040b","keyword":["California","Morro Bay","USGS:6a7a2d731ba49b951e84040b","biota","elevation","environment","mathematical modeling","sea-level change","tidal flat","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-120.88342, 35.30731, -120.80319, 35.37418","theme":["geospatial"],"title":"Projected evolution of intertidal habitats in Morro Bay, California under sea-level rise, climate variability, and management scenarios, 2020-2100"},"description":"Coastal managers need robust projections of how sea-level rise (SLR), sediment availability, and management actions may alter estuarine habitats.  We developed and calibrated WARMER-Coast, an intermediate-complexity modeling framework, to simulate tidal wetland evolution, assess potential upslope migration pathways, and evaluate management scenarios developed in consultation with local stakeholders. WARMER-Coast couples the 1-D soil cohort model WARMER v3 with a simplified 2-D hydrodynamic framework to simulate inundation, sediment transport, surface and edge erosion, plant growth, organic matter accumulation, and carbon storage. Model calibration leveraged extensive field observations, including water-level monitoring, elevation and vegetation surveys, surface elevation table measurements, soil cores, feldspar marker horizons, and short-term sediment deposition measurements. We applied the calibrated model to project marsh and seagrass habitat trajectories across five SLR scenarios and three sediment regimes. 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These data are from a replicated BACI (before-after-control-impact) designed study, at two marshes with differing hydrology and geomorphology. Data were collected using HOBO Water Level Data Loggers (U20L-04) deployed below the marsh surface between May and October (full duration of deployment varies by year). Data were collected every 15-minutes and filtered to generate a minimum daily water level. Water levels are presented relative to soil height.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P1MBL4ML","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.69f8d07bb66b01f26a042d7e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f8d07bb66b01f26a042d7e","keyword":["Allens Pond","Atlantic Ocean","Buzzards Bay","Massachusetts","Nasketucket Bay","Northeast United States","USGS:69f8d07bb66b01f26a042d7e","United States","biota","climate change","coastal ecosystems","ecosystem management","environment","oceans","sea-level change","vegetation","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-71.0335, 41.5065, -70.8364, 41.6447","theme":["geospatial"],"title":"Water level responses in shallow-water areas to restoration in Buzzards Bay Massachusetts, 2020-2023"},"description":"This data set includes water level response data from two salt marshes in Buzzards Bay, Massachusetts, which received hydrologic restoration to address interior ponding using runnels. These data are from a replicated BACI (before-after-control-impact) designed study, at two marshes with differing hydrology and geomorphology. Data were collected using HOBO Water Level Data Loggers (U20L-04) deployed below the marsh surface between May and October (full duration of deployment varies by year). Data were collected every 15-minutes and filtered to generate a minimum daily water level. Water levels are presented relative to soil height.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f97a7158-2fe7-491c-9093-9450c791bc6f","harvest_record_raw":"https://catalog.data.gov/harvest_record/f97a7158-2fe7-491c-9093-9450c791bc6f/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f8d07bb66b01f26a042d7e","keyword":["Allens Pond","Atlantic Ocean","Buzzards Bay","Massachusetts","Nasketucket Bay","Northeast United States","USGS:69f8d07bb66b01f26a042d7e","United States","biota","climate change","coastal ecosystems","ecosystem management","environment","oceans","sea-level change","vegetation","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:12:06.115817","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"water-level-responses-in-shallow-water-areas-to-restoration-in-buzzards-bay-mass-2020-2023","spatial_centroid":{"lat":41.56178,"lon":-70.95466},"spatial_shape":{"coordinates":[[[-71.0335,41.5065],[-71.0335,41.6447],[-70.8364,41.6447],[-70.8364,41.5065],[-71.0335,41.5065]]],"type":"Polygon"},"theme":["geospatial"],"title":"Water level responses in shallow-water areas to restoration in Buzzards Bay Massachusetts, 2020-2023","type":"dataset"},{"_score":9.9844055,"_sort":[1787184666802,9.9844055,2,"0d9af362-07a8-4a0e-84d4-fe6eb303d5b1"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jennifer M Cartwright","hasEmail":"mailto:jmcart@usgs.gov"},"description":"This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). This analysis involved several steps. First, time-series climate data were compiled and plotted to identify drought periods. Similarly, time-series data representing insect outbreaks were compiled and plotted to identify trends in insect mortality. The study area was classified into forest canopy types using existing modeled estimates of tree basal area by tree species. Using remotely-sensed Normalized Difference Moisture Index (NDMI) from the Landsat archive, NDMI anomalies from reference conditions were calculated in 2001 and 2009. Based on these anomalies, and using the forest classification map, refugia from drought (in 2001) and combined drought-MPB effects (in 2009) were identified as NDMI anomalies greater than the 90\\u003Csup\\u003Eth\\u003C/sup\\u003E-percentile value within each forest type. 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These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2007630791-LANCEMODIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/s3fs-public/2026-04/LANCE_MODAPS_Operational_Data_Flow_Diagram_4.16.26.pdf?VersionId=auDDcXbLWd7lDM.IyBmsuVfguIP64vnr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nrt3.modaps.eosdis.nasa.gov/archive/allData/61/MYD14/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2007630791-LANCEMODIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/instruments/modis/near-real-time-data","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MYD14.NRT.061","keyword":["earth-science-ecological-dynamics-biosphere-fire-ecology","earth-science-surface-radiative-properties-land-surface","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/EOS/ESDIS/LANCE MODIS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","theme":["Earth Science"],"title":"MODIS/Aqua Thermal Anomalies/Fire 5-Min L2 Swath 1km NRT"},"description":"The MODIS/Aqua Thermal Anomalies/Fire 5-Min L2 Swath 1km Near Real Time (NRT), short name MYD14, product is primarily derived from MODIS 4- and 11-micrometer radiances. 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There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. Global MYD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer [MYD13A2](https://doi.org/10.5067/MODIS/MYD13A2.061) data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MYD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Aqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2565794051-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/MYD13C1.061/MYD13C1.A2024153.061.2024177165804/BROWSE.MYD13C1.A2024153.061.2024177165804.1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MYD13C1.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/61/MYD13C1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/104/MOD13_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/621/MOD13_User_Guide_V61.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2565794051-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MYD13C1.061","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2002-07-04/2026-08-10","theme":["Earth Science"],"title":"MODIS/Aqua Vegetation Indices 16-Day L3 Global 0.05Deg CMG V061"},"description":"The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13C1) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. 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The MYD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Aqua&as=61).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/446763ea-dde0-4192-820f-e990af116e9b","harvest_record_raw":"https://catalog.data.gov/harvest_record/446763ea-dde0-4192-820f-e990af116e9b/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MYD13C1.061","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-08-19T00:44:07.041213","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":1,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-aqua-vegetation-indices-16-day-l3-global-0-05deg-cmg-v061","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Aqua Vegetation Indices 16-Day L3 Global 0.05Deg CMG V061","type":"dataset"},{"_score":10.912401,"_sort":[1787100243435,10.912401,4,"650086f6-61ad-4abc-a4f2-434d4e85effe"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices Monthly (MYD13C2) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists of 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. In generating this monthly product, the algorithm ingests all the [MYD13A2](https://doi.org/10.5067/MODIS/MYD13A2.061) products that overlap the month and employs a weighted temporal average. Global MYD13C1 data are cloud-free spatial composites and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MYD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Aqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2565794055-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/MYD13C2.061/MYD13C2.A2024122.061.2024162122502/BROWSE.MYD13C2.A2024122.061.2024162122502.1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MYD13C2.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/61/MYD13C2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/104/MOD13_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/621/MOD13_User_Guide_V61.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2565794055-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MYD13C2.061","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2002-07-01/2026-08-10","theme":["Earth Science"],"title":"MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V061"},"description":"The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices Monthly (MYD13C2) Version 6.1 product provides a Vegetation Index (VI) value at a per pixel basis. 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The MYD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Aqua&as=61).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a74fb4e8-e625-4e2d-962f-d8ef2db35682","harvest_record_raw":"https://catalog.data.gov/harvest_record/a74fb4e8-e625-4e2d-962f-d8ef2db35682/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MYD13C2.061","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-08-19T00:44:03.435664","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":4,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-aqua-vegetation-indices-monthly-l3-global-0-05deg-cmg-v061","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V061","type":"dataset"},{"_score":9.137697,"_sort":[1787100226167,9.137697,2,"628dab9e-5aea-49b9-9fb8-fb1816277d8b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. \n\n\nThe Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask.\n\nFor more information on C6.1 changes visit:\n\nhttps://modis-atmos.gsfc.nasa.gov/documentation/collection-61\n\nThe shortname for this Level-2 MODIS cloud mask product is MOD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu).  MOD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution.\n\nLink to the MODIS homepage for more data set information: \n\nhttps://modis-atmos.gsfc.nasa.gov/products/cloud-mask","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1426517890-LANCEMODIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://modis.gsfc.nasa.gov/sci_team/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/s3fs-public/2026-04/LANCE_MODAPS_Operational_Data_Flow_Diagram_4.16.26.pdf?VersionId=auDDcXbLWd7lDM.IyBmsuVfguIP64vnr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nrt3.modaps.eosdis.nasa.gov/archive/allData/61/MOD35_L2/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1426517890-LANCEMODIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/data/instruments/modis/near-real-time-data","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD35_L2.NRT.061","keyword":["earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-properties"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/EOS/ESDIS/LANCE MODIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","theme":["Earth Science"],"title":"MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT"},"description":"The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. \n\n\nThe Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask.\n\nFor more information on C6.1 changes visit:\n\nhttps://modis-atmos.gsfc.nasa.gov/documentation/collection-61\n\nThe shortname for this Level-2 MODIS cloud mask product is MOD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu).  MOD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution.\n\nLink to the MODIS homepage for more data set information: \n\nhttps://modis-atmos.gsfc.nasa.gov/products/cloud-mask","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/87fd1b61-7662-42f2-9aa5-741fe081b37b","harvest_record_raw":"https://catalog.data.gov/harvest_record/87fd1b61-7662-42f2-9aa5-741fe081b37b/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD35_L2.NRT.061","keyword":["earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-properties"],"last_harvested_date":"2026-08-19T00:43:46.167556","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":2,"publisher":"NASA/GSFC/EOS/ESDIS/LANCE MODIS","slug":"modis-terra-cloud-mask-and-spectral-test-results-5-min-l2-swath-250m-and-1km-nrt","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT","type":"dataset"},{"_score":15.535573,"_sort":[1787100216280,15.535573,3,"5406bc68-51c7-4a61-9af9-fc0b914e3b9a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 1 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to 2020. The MEaSUREs LEOLST product is generated by regridding the monthly LST CMG products from MODIS ([MYD21C3](https://doi.org/10.5067/MODIS/MYD21C3.061)) and VIIRS ([VNP21C3](https://doi.org/10.5067/VIIRS/VNP21C3.002)). \n\nThe product will be available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format.\n\nKnown Issues\n* Users should be aware that in v001 of the Low Earth Orbit Land Surface Temperature Monthly Global Gridded product (LEOLSTCMG30) the nighttime LST error estimates (LST_Night_err_*) in the one degree, half degree, and quarter degree SDS layers were erroneously filled with zero values, and should not be used for any scientific data analyses.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763264753-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/LEOLSTCMG30.001/LEOLSTCMG30_202010_001_20220613101416/LEOLSTCMG30_202010_001_20220613101416.1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MEaSUREs/LSTE/LEOLSTCMG30.001","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/1487/LEOLST_User_Guide_ATBD_V001.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2763264753-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MEaSUREs/LSTE/LEOLSTCMG30.001","keyword":["earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2002-08-01/2020-12-31","theme":["Earth Science"],"title":"Low Earth Orbit Land Surface Temperature Monthly Global Gridded V001"},"description":"The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 1 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to 2020. The MEaSUREs LEOLST product is generated by regridding the monthly LST CMG products from MODIS ([MYD21C3](https://doi.org/10.5067/MODIS/MYD21C3.061)) and VIIRS ([VNP21C3](https://doi.org/10.5067/VIIRS/VNP21C3.002)). \n\nThe product will be available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format.\n\nKnown Issues\n* Users should be aware that in v001 of the Low Earth Orbit Land Surface Temperature Monthly Global Gridded product (LEOLSTCMG30) the nighttime LST error estimates (LST_Night_err_*) in the one degree, half degree, and quarter degree SDS layers were erroneously filled with zero values, and should not be used for any scientific data analyses.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e5d907ec-44fe-49fc-9959-976fcad50c03","harvest_record_raw":"https://catalog.data.gov/harvest_record/e5d907ec-44fe-49fc-9959-976fcad50c03/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MEaSUREs/LSTE/LEOLSTCMG30.001","keyword":["earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-08-19T00:43:36.280417","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":3,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"low-earth-orbit-land-surface-temperature-monthly-global-gridded-v001","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Low Earth Orbit Land Surface Temperature Monthly Global Gridded V001","type":"dataset"},{"_score":17.333918,"_sort":[1787100215542,17.333918,1,"1a8ad9da-0d2b-47fa-96c4-7f4402c4f0d5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 2 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The MEaSUREs LEOLST product is generated by regridding the monthly CMG products from Aqua MODIS ([MYD21C3](https://doi.org/10.5067/MODIS/MYD21C3.061)) and VIIRS ([VNP21C3](https://doi.org/10.5067/VIIRS/VNP21C3.002) and [VJ121](https://doi.org/10.5067/VIIRS/VJ121.002)). \n\nThe product is available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2786058899-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/LEOLSTCMG30.002/LEOLSTCMG30_202212_002_20230823134940/LEOLSTCMG30_202212_002_20230823134940.1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MEaSUREs/LSTE/LEOLSTCMG30.002","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/1868/LEOLST_User_Guide_ATBD_V002.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2786058899-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MEaSUREs/LSTE/LEOLSTCMG30.002","keyword":["earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2002-08-01/2026-08-10","theme":["Earth Science"],"title":"Low Earth Orbit Land Surface Temperature Monthly Global Gridded V002"},"description":"The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 2 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The MEaSUREs LEOLST product is generated by regridding the monthly CMG products from Aqua MODIS ([MYD21C3](https://doi.org/10.5067/MODIS/MYD21C3.061)) and VIIRS ([VNP21C3](https://doi.org/10.5067/VIIRS/VNP21C3.002) and [VJ121](https://doi.org/10.5067/VIIRS/VJ121.002)). \n\nThe product is available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. 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For this dataset, wetlands are defined as land areas that are either permanently or seasonally saturated, excluding small ponds, lakes, and coastal wetlands. These wetland CH4 flux data will be used to support the United States Greenhouse Gas Center ([GHGC](https://earth.gov/ghgcenter)) and its mission to study natural GHG fluxes. The model will also be used to facilitate improved rapid detection and attribution of climate-carbon feedback, and in strategic placement of measurement campaigns and monitoring systems as they relate to predicted biogeochemical hotspots.  \n\nThe LPJ-EOSIM L2 Global Simulated Monthly Wetland Methane Flux Low Latency (LPJ_EOSIM_L2_MCH4E_LL) Version 1 data product provides simulated monthly wetland CH4 flux globally at a spatial resolution of 0.5 degrees. The monthly simulation data contains aggregate versions of the daily LPJ-EOSIM L2 Global Simulated Daily Wetland Methane Flux Low Latency ([LPJ_EOSIM_L2_DCH4E_LL](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E_LL.001)) Version 1 data. The monthly data are presented in four Cloud Optimized GeoTIFF (COG) files: two based on the aggregated daily forcing datasets Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), and two containing the mean and standard deviation values calculated from the monthly aggregate data.  \n\nDue to the latency of global carbon dioxide (CO<sub>2</sub>) concentration estimates required for computation of LPJ-EOSIM simulated monthly CH4 flux data products, low latency (LPJ_EOSIM_L2_MCH4E_LL) and high latency ([LPJ_EOSIM_L2_MCH4E](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E.001)) collections are available. Low latency data are delivered on a two-month cadence throughout the year. Granules will also be updated as new CO2 input data become available. Please refer to Section 2.0.1 of the User Guide for a more detailed explanation of estimated CO2 inputs and timing for scheduled updates to the collections.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3050406138-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/LPJ_EOSIM_L2_MCH4E_LL.001/LPJ_EOSIM_L2_MCH4E_LL_001_202401/LPJ_EOSIM_L2_MCH4E_LL_ensemble_mean_001_202401.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earth.gov/ghgcenter/data-catalog/lpjeosim-wetlandch4-grid-v2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/2017/LPJ_EOSIM_User_Guide_v1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/2018/LPJ_EOSIM_ATBD_v1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3050406138-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/BSL"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2024-01-01/2026-08-10","theme":["Earth Science"],"title":"LPJ-EOSIM L2 Global Simulated Monthly Wetland Methane Flux Low Latency V001"},"description":"The Lund-Potsdam-Jena Earth Observation SIMulator (LPJ-EOSIM) model estimates global wetland methane (CH4) emissions using simulated wetland extent and characteristics including soil moisture, temperature, and carbon content. For this dataset, wetlands are defined as land areas that are either permanently or seasonally saturated, excluding small ponds, lakes, and coastal wetlands. These wetland CH4 flux data will be used to support the United States Greenhouse Gas Center ([GHGC](https://earth.gov/ghgcenter)) and its mission to study natural GHG fluxes. The model will also be used to facilitate improved rapid detection and attribution of climate-carbon feedback, and in strategic placement of measurement campaigns and monitoring systems as they relate to predicted biogeochemical hotspots.  \n\nThe LPJ-EOSIM L2 Global Simulated Monthly Wetland Methane Flux Low Latency (LPJ_EOSIM_L2_MCH4E_LL) Version 1 data product provides simulated monthly wetland CH4 flux globally at a spatial resolution of 0.5 degrees. The monthly simulation data contains aggregate versions of the daily LPJ-EOSIM L2 Global Simulated Daily Wetland Methane Flux Low Latency ([LPJ_EOSIM_L2_DCH4E_LL](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E_LL.001)) Version 1 data. The monthly data are presented in four Cloud Optimized GeoTIFF (COG) files: two based on the aggregated daily forcing datasets Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), and two containing the mean and standard deviation values calculated from the monthly aggregate data.  \n\nDue to the latency of global carbon dioxide (CO<sub>2</sub>) concentration estimates required for computation of LPJ-EOSIM simulated monthly CH4 flux data products, low latency (LPJ_EOSIM_L2_MCH4E_LL) and high latency ([LPJ_EOSIM_L2_MCH4E](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E.001)) collections are available. Low latency data are delivered on a two-month cadence throughout the year. Granules will also be updated as new CO2 input data become available. 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The monthly simulation data contains aggregate versions of the daily LPJ-EOSIM L2 Global Simulated Daily Wetland Methane Flux ([LPJ_EOSIM_L2_DCH4E](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E.001)) Version 1 data. The monthly data are presented in four Cloud Optimized GeoTIFF (COG) files: two based on the aggregated daily forcing datasets Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), and two containing the mean and standard deviation values calculated from the monthly aggregate data.  \n\nDue to the latency of global carbon dioxide (CO2) concentration estimates required for computation of LPJ-EOSIM simulated monthly CH4 flux data products, low latency ([LPJ_EOSIM_L2_MCH4E_LL](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001)) and high latency (LPJ_EOSIM_L2_MCH4E) collections are available. High latency data in this collection will be delivered around May of each year when National Oceanic and Atmospheric Administration\u2019s (NOAA) Global Monitoring Laboratory (GML) publishes the previous year\u2019s CO2 concentration and will have a lag of at least 5 months (January-May), and at most 17 months (January of the current year to May of the next year). 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The monthly simulation data contains aggregate versions of the daily LPJ-EOSIM L2 Global Simulated Daily Wetland Methane Flux ([LPJ_EOSIM_L2_DCH4E](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E.001)) Version 1 data. The monthly data are presented in four Cloud Optimized GeoTIFF (COG) files: two based on the aggregated daily forcing datasets Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), and two containing the mean and standard deviation values calculated from the monthly aggregate data.  \n\nDue to the latency of global carbon dioxide (CO2) concentration estimates required for computation of LPJ-EOSIM simulated monthly CH4 flux data products, low latency ([LPJ_EOSIM_L2_MCH4E_LL](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_MCH4E_LL.001)) and high latency (LPJ_EOSIM_L2_MCH4E) collections are available. 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The MOD11C1 product is directly derived from the [MOD11B1](https://doi.org/10.5067/MODIS/MOD11B1.061) product. A CMG granule follows a Geographic grid, having 7,200 columns and 3,600 rows, which represent the entire globe. 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The MCD19A2CMG product provides the atmospheric properties and view geometry used to calculate the MAIAC Surface Reflectance data products ([MCD19A1CMGL](https://doi.org/10.5067/MODIS/MCD19A1CMGL.061) and [MCD19A1CMGO](https://doi.org/10.5067/MODIS/MCD19A1CMGO.061)). \n\nThe MCD19A2CMG AOD data product contains the following Science Dataset (SDS) layers: blue band AOD at 0.47 \u00b5m, green band AOD at 0.55 \u00b5m, AOD uncertainty, column water vapor for Terra, column water vapor for Aqua, average cloud fraction, available AOD, satellite overpass times, line and sample number, offset, and number of AOD records. 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Output daily at 1 kilometer (km) resolution, the Multi-angle Implementation of Atmospheric Correction (MAIAC) MCD19A3D product provides three coefficients (weights) of the RossThick/Li-Sparse (RTLS) BRDF model that can be used to describe the anisotropy of each pixel. The retrievals represent cloud-free and low aerosol conditions.\n\nWhen snow is detected, gap-filled snow grain size and sub-pixel snow fraction are computed. The gap-filling process retains the parameter in MAIAC\u2019s memory for each grid cell until updated with the latest cloud-free observation. The number of days since the last update is provided in a separate layer.\n\nOver snow-free land, MAIAC also reports gap-filled Normalized Difference Vegetation Index (NDVI) at 1 km resolution and gap-filled Nadir BRDF-Adjusted Reflectance (NBAR) at 250 m resolution in the red and near-infrared (NIR) bands.\n\nThe MCD19A3 BRDF Model Parameters product contains the following Science Dataset (SDS) layers: RTLS isotropic kernel parameter (Kiso) for bands 1-8, the RTLS volumetric kernel parameter (Kvol) for bands 1-8, RTLS geometric kernel parameter (Kgeo) for bands 1-8, three snow parameters, NDVI, NBAR, and three separate layers for the number of days since last update to current day. \n\nKnown Issues\n\n* Known issues are described in Section 6 of the User Guide.\n* An artifact was discovered in the NDVI1km and NBAR_250m layers over the southern polar region. The affected region shows false retrieval of data during the summer months. 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Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. \n\nMCD43D42 through MCD43D61 are the albedo products of the MCD43D BRDF/Albedo product suite. There are 10 black-sky albedo and 10 white-sky albedo layers representing MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands. The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. 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Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. MCD43D36 provides MODIS band 4 valid observation quality information for the MCD43D products. \n\nUsers are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/).\n\nMCD43D36 contains the valid observation quality layer representing each of the 16 days of the retrieval period for MODIS band 4.\n\nKnown Issues\n\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2540270762-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MCD43D36.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MCD43D36","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/97/MCD43_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MCD43","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2540270762-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MCD43D36.061","keyword":["earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-anisotropy","earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS;UMASS-B/SFE"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-16/2026-08-10","theme":["Earth Science"],"title":"MODIS/Terra+Aqua BRDF/Albedo QA ValidobsBand4 Daily L3 Global 30ArcSec CMG V061"},"description":"The MCD43D36 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) QA ValidObs Band 4 dataset is produced daily using 16 days of Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data at 30 arc second (1,000 meter (m)) resolution. 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Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. 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Data are temporally weighted to the ninth day of the retrieval period which is reflected in the Julian date in the file name. This CMG product covers the entire globe for use in climate simulation models. \n\nUsers are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43c2-cmg-brdfalbedo-model-snow-free-parameters-product/).\n\nMCD43C2 provides the three model weighting parameters (isotropic, volumetric, and geometric) computed from snow-free retrievals. Each model parameter is available as a separate layer for MODIS spectral bands 1 through 7 as well as the visible, near infrared (NIR), and shortwave bands. Along with the 30 parameter layers there are ancillary layers for quality, local solar noon, percent finer resolution inputs, and uncertainty.\n\nKnown Issues\n\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2532059394-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MCD43C2.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/61/MCD43C2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/97/MCD43_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MCD43C2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2532059394-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43c2-cmg-brdfalbedo-model-snow-free-parameters-product/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MCD43C2.061","keyword":["earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-anisotropy","earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS;UMASS-B/SFE"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-16/2026-08-10","theme":["Earth Science"],"title":"MODIS/Terra+Aqua BRDF/Albedo Snow-free Model Parameters Daily L3 Global 0.05Deg CMG V061"},"description":"The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43C2 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Snow-free Model Parameters dataset is produced daily using 16 days of Terra and Aqua MODIS data in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). 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Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. \n\nMCD43D42 through MCD43D61 are the albedo products of the MCD43D BRDF/Albedo product suite. There are 10 black-sky albedo and 10 white-sky albedo layers representing MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands. The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. 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Additional details regarding the methodology used to create the data are available in the Algorithm Theoretical Basis Document (ATBD).\n\nProvided in the MOD18C1 product are layers for instantaneous DSR array for each individual MODIS overpass and 3-hour DSR array along with a View Zenith Angle layer.\n\nKnown Issues\n\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=62).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/64a56678-d03a-4434-ba65-ec3438b341d3","harvest_record_raw":"https://catalog.data.gov/harvest_record/64a56678-d03a-4434-ba65-ec3438b341d3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MCD18C1.062","keyword":["earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification"],"last_harvested_date":"2026-08-19T00:41:00.181029","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":2,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terraaqua-downward-shortwave-radiation-daily-3-hour-l3-global-0-05deg-cmg-v062","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra+Aqua Downward Shortwave Radiation Daily/3-Hour L3 Global 0.05Deg CMG V062","type":"dataset"},{"_score":11.299623,"_sort":[1787100056350,11.299623,2,"e8f97e28-9c15-4919-bdaf-73e2d0d4e086"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6.1 data product provides a spatially aggregated and reprojected version of the tiled [MCD12Q1 Version 6.1](https://doi.org/10.5067/MODIS/MCD12Q1.061) data product. Maps of the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes are provided at yearly intervals at 0.05 degree (5,600 meter) spatial resolution for the entire globe. Additionally, sub-pixel proportions of each land cover class in each 0.05 degree pixel is provided along with the aggregated quality assessment information for each of the three land classification schemes. \n\nProvided in each MCD12C1 Version 6.1 Hierarchical Data Format 4 (HDF4) file are layers for Majority Land Cover Type 1-3, Majority Land Cover Type 1-3 Assessment, and Majority Land Cover Type 1-3 Percent.\n\nKnown Issues\n* Known issues are described in Section 2.2 of the User Guide.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2484078896-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/MCD12C1.061/MCD12C1.A2021001.061.2022217040006/BROWSE.MCD12C1.A2021001.061.2022217040006.1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MCD12C1.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/1409/MCD12_User_Guide_V61.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/86/MCD12_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MCD12","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2484078896-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MCD12C1.061","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2001-01-01/2026-08-10","theme":["Earth Science"],"title":"MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V061"},"description":"The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6.1 data product provides a spatially aggregated and reprojected version of the tiled [MCD12Q1 Version 6.1](https://doi.org/10.5067/MODIS/MCD12Q1.061) data product. Maps of the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes are provided at yearly intervals at 0.05 degree (5,600 meter) spatial resolution for the entire globe. Additionally, sub-pixel proportions of each land cover class in each 0.05 degree pixel is provided along with the aggregated quality assessment information for each of the three land classification schemes. \n\nProvided in each MCD12C1 Version 6.1 Hierarchical Data Format 4 (HDF4) file are layers for Majority Land Cover Type 1-3, Majority Land Cover Type 1-3 Assessment, and Majority Land Cover Type 1-3 Percent.\n\nKnown Issues\n* Known issues are described in Section 2.2 of the User Guide.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&as=61).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ae86bf72-477f-45bf-a1f7-ffbbee016867","harvest_record_raw":"https://catalog.data.gov/harvest_record/ae86bf72-477f-45bf-a1f7-ffbbee016867/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MCD12C1.061","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification"],"last_harvested_date":"2026-08-19T00:40:56.350871","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":2,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terraaqua-land-cover-type-yearly-l3-global-0-05deg-cmg-v061","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V061","type":"dataset"},{"_score":9.96579,"_sort":[1787100043416,9.96579,1,"96a6229c-c993-4051-bf0a-71878196a753"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MCD19A1CMGL Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Surface Reflectance Level 3 (Bands 1-7) product produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). The MCD19A1CMGL product is corrected for atmospheric gases and aerosols using a new MAIAC algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The MODIS MAIAC products provide an estimate of the surface spectral reflectance, also referred to as Bidirectional Reflectance Factor (BRF), as it would be measured at ground-level in the absence of atmospheric scattering or absorption. The Surface Reflectance dataset includes BRF, BRF normalized to a fixed geometry of solar zenith angle at 45\u00b0 and nadir view, and Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) normalized to the nadir view and local sun angle at 1:30 pm.\n\nThe MCD19A1CMGL MAIAC Surface Reflectance product for land bands includes 25 Science Dataset (SDS) layers: BRF for bands 1-7, BRF normalized to a fixed geometry for bands 1-7, NBAR for bands 1-7, Quality Assessment (QA) bits, cosine of solar zenith angle, cosine of view zenith angle, and relative azimuth angle. A low-resolution browse is also included.\n\nKnown Issues\n\n* Known issues are described in Section 6 of the User Guide.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2565807727-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/MCD19A1CMGL.061/MCD19A1CMGL.A2024191.061.2024192181132/BROWSE.MCD19A1CMGL.A2024191.061.2024192181132.1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MCD19A1CMGL.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/111/MCD19_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/1500/MCD19_User_Guide_V61.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MCD19","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2565807727-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MCD19A1CMGL.061","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-24/2026-08-10","theme":["Earth Science"],"title":"MODIS/Terra+Aqua Surface Reflectance (Bands 1-7) from MAIAC, Daily L3 Global 0.05Deg CMG V061"},"description":"The MCD19A1CMGL Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Surface Reflectance Level 3 (Bands 1-7) product produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). The MCD19A1CMGL product is corrected for atmospheric gases and aerosols using a new MAIAC algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The MODIS MAIAC products provide an estimate of the surface spectral reflectance, also referred to as Bidirectional Reflectance Factor (BRF), as it would be measured at ground-level in the absence of atmospheric scattering or absorption. The Surface Reflectance dataset includes BRF, BRF normalized to a fixed geometry of solar zenith angle at 45\u00b0 and nadir view, and Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) normalized to the nadir view and local sun angle at 1:30 pm.\n\nThe MCD19A1CMGL MAIAC Surface Reflectance product for land bands includes 25 Science Dataset (SDS) layers: BRF for bands 1-7, BRF normalized to a fixed geometry for bands 1-7, NBAR for bands 1-7, Quality Assessment (QA) bits, cosine of solar zenith angle, cosine of view zenith angle, and relative azimuth angle. A low-resolution browse is also included.\n\nKnown Issues\n\n* Known issues are described in Section 6 of the User Guide.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/06660fbc-4f66-44d0-a524-69aaba9bcaba","harvest_record_raw":"https://catalog.data.gov/harvest_record/06660fbc-4f66-44d0-a524-69aaba9bcaba/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MCD19A1CMGL.061","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"last_harvested_date":"2026-08-19T00:40:43.416916","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"popularity":1,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terraaqua-surface-reflectance-bands-1-7-from-maiac-daily-l3-global-0-05deg-cmg-v061","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra+Aqua Surface Reflectance (Bands 1-7) from MAIAC, Daily L3 Global 0.05Deg CMG V061","type":"dataset"},{"_score":9.96579,"_sort":[1787100042263,9.96579,1,"50c67b7e-f69c-42b9-8f04-1f1d138964bb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MCD19A1CMGO Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Surface Reflectance Level 3 (Bands 8-12) product produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). The MCD19A1CMGO product is corrected for atmospheric gases and aerosols using a new MAIAC algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The MODIS MAIAC products provide an estimate of the surface spectral reflectance, also referred to as Bidirectional Reflectance Factor (BRF), as it would be measured at ground-level in the absence of atmospheric scattering or absorption. The Surface Reflectance dataset includes BRF, BRF normalized to a fixed geometry of solar zenith angle at 45\u00b0 and nadir view, and Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) normalized to the nadir view and local sun angle at 1:30 pm.\n\nThe MCD19A1CMGO MAIAC Surface Reflectance product for ocean bands includes 19 Science Dataset (SDS) layers: BRF for bands 8-12, BRF normalized to a fixed geometry for bands 8-12, NBAR for bands 8-12, Quality Assessment (QA) bits, cosine of solar zenith angle, cosine of view zenith angle, and relative azimuth angle. A low-resolution browse is also included.\n\nKnown Issues\n\n* Known issues are described in Section 6 of the User Guide.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2565807729-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/MCD19A1CMGO.061/MCD19A1CMGO.A2024201.061.2024202173702/BROWSE.MCD19A1CMGO.A2024201.061.2024202173702.1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MCD19A1CMGO.061","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/111/MCD19_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/1500/MCD19_User_Guide_V61.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MCD19","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2565807729-LPCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MCD19A1CMGO.061","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-08-17","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-24/2026-08-10","theme":["Earth Science"],"title":"MODIS/Terra+Aqua Surface Reflectance (Bands 8-12) from MAIAC, Daily L3 Global 0.05Deg CMG V061"},"description":"The MCD19A1CMGO Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Surface Reflectance Level 3 (Bands 8-12) product produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). 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