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Filters Date Range Past year (189) Past month (11) Past week (1) Past day (1) Custom range... To   Search Extensions Raster (29) Community (1) Types Map Service (83) OGC WFS Layer (53) OGC WMS Layer (53) OGC WMS Service (53) Downloadable (33) More... Contacts U.S. Geological Survey - ScienceBase Timothy D Hatten U.S. Geological Survey Core Science Systems Daryn J Dockter More... Categories Data (53) Image (11) Data Release - Revised (10) pre-SM502.8 (1) Tag Types Theme (276) Place (285) USGS Scientific Topic Keyword (93) Harvest Set (121) Subject (7) collection (11) label (11) More... Tag Schemes None (216) Common geographic areas (174) USGS Thesaurus (148) ISO 19115 Topic Category (218) exotic species (16) Alexandria Digital Library Feature Type Thesaurus (24) Geographic Names Information System (14) More... View Results as: JSON ATOM CSV

National Land Cover Database (NLCD) 2016 Land Cover Science Product As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: GIS, Image processing, Land Use Land Cover Theme, Land cover, N.L.C.D., All tags... NGDA, NLCD, National Geospatial Data Asset, None, U.S., U.S. Geological Survey (USGS), US, United States, biota, digital spatial data, imageryBaseMapsEarthCover, Fewer tags Undisturbed snow cover of Mount St. Helens on April 10. Skamania County, Washington. 1980. Caption accompanying photograph: Photo shows the undisturbed snow cover of Mount St. Helens on April 10, 1980, with a plume of steam visible at the summit. Skamania County, Washington. No index card. Categories: Image; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Mount St. Helens Collection, Mount St. Helens EROS Data Center Collection, Skamania County, Washington, Volcanoes, aerial, All tags... photo print, Fewer tags Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 1.0, May 2023) These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, California, Colorado, Great Basin, Harmonized Landsat Sentinel, All tags... Idaho, Kansas, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, invasive species, medusahead, nonindigenous species, noxious, perennial grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags Global gray-sky dT: the inverse of the surface psychrometric constant parameter in the SSEBop evapotranspiration model The surface psychrometric constant (spc) is a key model parameter in actual evapotranspiration modeling using the Operational Simplified Surface Energy Balance (SSEBop) model for establishing model boundary limits for the dry/bare and wet/vegetated surface conditions. The inverse of the constant (1/spc) represents the temperature difference (dT) between the bare/dry surface and the air temperature at the canopy level. The main output of the SSEBop model is an ET fraction (0-1) and, when combined with reference (“maximum”) ET, produces an actual ET estimate from satellite-observed land surface temperature. This dT is determined using net radiation inputs under gray-sky radiations from the ERA-5 datasets, i.e., Surface... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ET modeling, Global, Hydrology, Remote Sensing, USGS Science Data Catalog (SDC), All tags... input parameter for SSEBop model, net radiation, psychrometric constant, Fewer tags LCMAP CONUS Geographic Assessment Data Tables v1.0 1985-2016 This is a collection of data tables supporting the LCMAP CONUS Geographic Assessment v1.0. The data used to generate these tables come from the USGS LCMAP reference dataset and the map products released by LCMAP. Tables include annual land cover class composition and annual rate of land cover change metrics developed with a post-stratified estimator. Other tables including annual gross change of specific types of land covers, cumulative metrics of overall geographic footprint of change, frequency of overall geographic footprint of change, overall area estimates of specific class changes, and all unique changes in land cover classes. All tables cover the time period 1985-2016. All values in these tables are presented... Tags: Geography, LCMAP, Land Change Monitoring, Assessment, and Projection, Land Use Change, Landsat, All tags... Remote Sensing, USGS Science Data Catalog (SDC), United States, geography, geoscientificInformation, gross change, land cover, land cover change, land use and land cover, land use change, land-cover class change, net change, square kilometers, standard error, Fewer tags Crop Water Use in the Central Valley of California using Landsat-derived evapotranspiration Understanding how different crops use water over time is essential for planning and managing water allocation, water rights, and agricultural production. The main objective of this paper is to characterize the spatiotemporal dynamics of crop water use in the Central Valley of California using Landsat-based annual actual evapotranspiration (ETa) from 2008-2018 derived from the Operational Simplified Surface Energy Balance (SSEBop) model. Crop water use for ten crops are characterized at multiple scales. The Mann-Kendall trend analysis revealed a significant increase in area cultivated with almonds and their water use, with an annual rate of change of 16,327 hectares in area and 13,488 ha-m in water use. Conversely,... Tags: Central Valley, Hydrology, Kern County, California, Land Use Change, Remote Sensing, All tags... SSEBop model, USGS Science Data Catalog (SDC), Water Resources, evapotranspiration, landsat, remote sensing, time-series analysis, Fewer tags Modeled 2030 land cover for the Northern Glaciated Plains ecoregion The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including... Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: FORE-SCE, Great Plains, Land Cover, Minnesota, Model, All tags... North Dakota, Northern Glaciated Plains Ecoregion, Northern Glaciated Plains Ecoregion, Parcel, Scenario, South Dakota, USGS, USGS Science Data Catalog (SDC), United States, projection, Fewer tags Gambia Land Use Land Cover 2013 This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Gambia, Land Cover, Land Use, biota, land cover, All tags... land use, land use classes, landcover, landuse, Fewer tags US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1992 (ver. 6.0, January 2024) The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster... Tags: Burn severity, Burned area, CONUS, Continental U.S., Differenced normalized burn ratio, All tags... FWS, Fire location, Fire occurrence, Landsat, Location, Normalized burn ratio, Prescribed fire, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1985 (ver. 6.0, January 2024) The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster... Tags: Burn severity, Burned area, CONUS, Continental U.S., Differenced normalized burn ratio, All tags... FWS, Fire location, Fire occurrence, Landsat, Location, Normalized burn ratio, Prescribed fire, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1993 (ver. 6.0, January 2024) The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster... Tags: Burn severity, Burned area, CONUS, Continental U.S., Differenced normalized burn ratio, All tags... FWS, Fire location, Fire occurrence, Landsat, Location, Normalized burn ratio, Prescribed fire, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Conterminous United States Land Cover Projections - 1992 to 2100 The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CONUS, CONUS, Conterminous, Conterminous United States, FORE-SCE, All tags... IPCC, Intergovernmental Panel on Climate Change, Land Cover, Land Use, Land Use Change, Lower 48, Model, SRES, Scenario, Special Report on Emissions Scenarios, USGS, USGS Science Data Catalog (SDC), United States, Fewer tags LANDFIRE 2022 Existing Vegetation Height (EVH) CONUS LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30-m cell. EVH is produced separately for tree, shrub, and herbaceous lifeforms using training data depicting the weighted average height by species cover and Existing Vegetation Type (EVT) lifeform. Decision tree models using field reference data, lidar, and Landsat are developed separately for each lifeform, then lifeform specific height class layers are merged along with land cover into a single EVH product based on the dominant lifeform of each pixel. EVH ranges are continuous for the herbaceous lifeform category ranging from 0.1 to 1 meter with decimeter increments, 0.1 to 3... Tags: CONUS, Conterminous United States, Continental U.S., EVH, Existing Vegetation Height, All tags... LANDFIRE 2022, LF 2022, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE Annual Disturbance Puerto Rico US Virgin Islands 2021 LANDFIRE’s (LF) Annual Disturbance products provide temporal and spatial information related to landscape change. Annual Disturbance depicts areas of 4.5 hectares (11 acres) or larger that have experienced a natural or anthropogenic landscape change (or treatment) within a given year. For the creation of the Annual Disturbance product, information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC) and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), 18 types of agency-contributed “event” perimeters (see LF Public Events Geodatabase), and remotely sensed Landsat imagery. To create the LF Annual Disturbance... Tags: Annual Disturbance, Annual Disturbance 2021, IA, Insular Areas, LANDFIRE 2022, All tags... LF 2022, OCONUS, Puerto Rico, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, US Virgin Islands, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, yearly disturbance, Fewer tags LANDFIRE 2022 Forest Canopy Cover (CC) AK LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and... Tags: AK, Alaska, CC, Canopy Cover, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE 2022 Vegetation Departure (VDep) HI LANDFIRE’s (LF) 2022 Vegetation Departure (VDep) product categorizes departure between current vegetation condition and reference vegetation condition, according to the methods outlined in the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook (Hann et al 2010)). VDep differs from the FRCC Guidebook, however, because it is based on the departure of current vegetation condition only, whereas the FRCC Guidebook approach includes departure of current fire regimes for the reference period. For VDep, summary units are defined as a BioPhysical Setting (BpS) with identical reference condition values regardless of map zone. For example, when a BpS is present in map zone 1, 2, 4, 5, 6 and 8, the reference... Tags: HI, Hawaii, LANDFIRE 2022, LF 2022, U.S. Forest Service (USFS), All tags... U.S. Geological Survey (USGS), US, United States, VDep, Vegetation Departure, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024) The data are a long-term (1980-present), daily reanalysis of reference evapotranspiration, covering the globe at a spatial resolution of 0.625° Longitude x 0.5° Latitude. Reference evapotranspiration is a measure of evaporative demand, or the "thirst of the atmosphere", basically how much moisture from the surface could evaporate into overpassing air, assuming (i) that enough water is available to evaporate and (ii) the surface is covered with a specific reference crop that completely shades the ground (some other conditions also apply). For this dataset, reference evapotranspiration is derived from the daily implementation of the Penman-Monteith reference evapotranspiration equation (Monteith, 1965) as codified... Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Climatology, Remote Sensing, USGS Science Data Catalog (SDC), Water Resources, climatologyMeteorologyAtmosphere, All tags... food-security, geoscientificInformation, global, long-term daily product, reference evapotranspiration, Fewer tags 3. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 4.0, June 3rd, 2022) These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, California, Colorado, Great Basin, Harmonized Landsat Sentinel, All tags... Idaho, Kansas, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, invasive species, medusahead, nonindigenous species, noxious, perennial grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, Colorado, Great Basin, Harmonized Landsat Sentinel, Idaho, All tags... Information Sciences, Land Use Change, Montana, NDVI, Nevada, Oregon, Texas brome, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, geoscientificInformation, invasive, medusahead, noxious, red brome, rye brome, sagebrush, satellite, soft brome, western United States, Fewer tags Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Litter Products for the Western U.S., 1985 - 2018 The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified... Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags... CA, CO, California, Chihuahuan Desert, Colorado, Colorado Plateau, Columbia Plateau, Grand Canyon, Great Basin, Gunnison, ID, Idaho, MT, Middle Rockies, Montana, ND, NE, NM, NV, Nebraska, Nevada, New Mexico, North Dakota, Northern Mountainous, OR, Oregon, Rocky Mountains, SD, Sonoran Desert, South Dakota, Southwest Tablelands, TX, Texas, Three Forks, UT, United States, Utah, WA, WY, Wasatch, Washington, Western US, Wyoming, Yellowstone, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, climate change, environment, geoscientificInformation, grass, grassland change, herbaceous, imageryBaseMapsEarthCover, litter, rangeland, rangeland management, sagebrush, shrub, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, Fewer tags « 1 2 3 4 5 ... 15 »