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Long-term field observation of shrubland ecosystem in Wyoming, USA from 2008-2018 The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from... Categories: Data; Tags: Land Use Change, Landsat Path/Row, Landsat time-series, Southwest Wyoming, U.S., All tags... US, USGS Science Data Catalog (SDC), United States, WY, Wyoming, climate change, field observation, fractional components, heat flow (earth), image collections, imageryBaseMapsEarthCover, land use change, long-term monitoring, multispectral imaging, plant community, shrubland, shrubland ecosystem, trends, Fewer tags Rangeland Condition Monitoring Assessment and Projection (RCMAP) Non Sagebrush Shrub Fractional Component Time-Series Across the Western U.S. 1985-2021 The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary.... Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags... CA, CO, California, Chihuahuan, Chihuahuan Desert, Colorado, Colorado Plateau, Columbia Plateau, Desert, Grand Canyon, Great Basin, Gunnison, ID, Idaho, MT, Mediterranean California, Middle Rockies, Mojave, Montana, ND, NE, NM, NV, Nebraska, Nevada, New Mexico, North Dakota, North Plains, Northern Great Plains, Northern Great Salt Lake Desert, Northern Mountainous, Northern Rocky Mountains, OR, Oregon, Plains, Plateau, Rocky Mountains, SD, Sierra Nevada, Sonoran, Sonoran Desert, South Dakota, Southern Great Salt Lake Desert, Southern Rocky Mountains, Southwest Tablelands, TX, Texas, The Rockies, Three Forks, UT, United States, Utah, WA, WY, Wasatch, Washington, Western US, Wyoming, Wyoming Basin, Yellowstone, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, climate change, environment, geoscientificInformation, grass, grassland change, herbaceous, imageryBaseMapsEarthCover, litter, mts, rangeland, rangeland management, sagebrush, shrub, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, Fewer tags LANDFIRE 2022 Existing Vegetation Cover (EVC) AK LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100% (cover values less than 10% are binned into the 10% value). The three independent lifeform datasets are merged into a single product based on the dominant... Tags: AK, Alaska, EVC, Existing Vegetation 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 Historical Disturbance (HDist) HI LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types. HDist includes the year of disturbance that is recorded for that pixel. In LF 2022, the time since disturbance code is the same for both HDist... Tags: HDist, HI, Hawaii, Historical Disturbance, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, disturbance, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE 2022 Fuel Vegetation Type (FVT) Puerto Rico US Virgin Islands LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances... Tags: EVT, Existing Vegetation Type, FVT, Fuel Vegetation Type, IA, All tags... Insular Areas, LANDFIRE 2022, 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, Fewer tags Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2002 (ver. 5.0, August 2023) The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image... Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 1986 (ver. 5.0, August 2023) The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image... Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2021 (ver. 5.0, August 2023) The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image... Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, USGS Metadata Identifier, USGS:62b4778cd34e8f4977cbcee4, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags LANDFIRE 2022 Forest Canopy Cover (CC) CONUS 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: CC, CONUS, Canopy Cover, Conterminous United States, Continental U.S., 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 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance... Tags: CONUS, Conterminous United States, Continental U.S., EVC, Existing Vegetation Cover, All tags... FVC, Fuel Vegetation Cover, 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 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, California, Colorado, Great Basin, Harmonized Landsat Sentinel, All tags... Idaho, Kansas, Land Use Change, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Texas, Texas brome, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, invasive species, medusahead, nonindigenous species, noxious, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2006 (ver. 6.0, January 2024) The National Park Service (NPS) 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. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 1995 (ver. 6.0, January 2024) The National Park Service (NPS) 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. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 1996 (ver. 6.0, January 2024) The National Park Service (NPS) 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. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2013 (ver. 6.0, January 2024) The National Park Service (NPS) 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. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags National Park Service Thematic Burn Severity Mosaic in 2018 (ver. 6.0, January 2024) The National Park Service (NPS) 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. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, NPS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Prairie Fire Assessment of Fire Occurrence Dataset (FOD) points location (ver. 6.0, January 2024) This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States where hundreds of thousands of acres burn annually as prescribed fire and wildfire. The prairie fire products provide the extent of larger prairie fires in the Flint Hills to record the occurrence of fire and can be used to identify individual burned areas within the perimeters. This product is published to provide fire information of the most fire prone ecosystems to individuals and land management communities for assessing burn extent and impacts on a time sensitive basis. The methods used to produce the prairie fire products from 2019 to present are... Tags: Burned area, CONUS, Continental U.S., Fire location, Fire occurrence, All tags... Landsat, Location, Normalized burn ratio, Prescribed fire, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Undersized Fire Mapping Program Burned Area Boundaries (ver. 5.0, October 2023) This map layer is a vector polygon shapefile of the perimeters of all currently inventoried fires occurring between calendar year 2021 and 2021 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS); however, these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically... Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1995 (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 Seasonal Blue Water Evapotranspiration 1986 – 2020 for the Croplands in the High Plains Aquifer Region Estimation of irrigation water use provides essential information for the management and conservation of agricultural water resources. The blue water evapotranspiration (BWET) raster dataset at 30-meter resolution is created to estimate agricultural irrigation water consumption. The dataset contains seasonal total (1 May to 30 September) BWET time series (1986 – 2020) for the croplands across the U.S. High Plains aquifer region. The BWET estimates are generated by integrating an energy-balance ET model (Operational Simplified Surface Energy Balance model) and a water-balance ET model (Vegetation ET model). BWET in croplands reflects crop consumptive use of irrigation water extracted from surface water and groundwater... Tags: Colorado, High Plains aquifer, Hydrology, Kansas, Nebraska, All tags... New Mexico, Oklahoma, Remote Sensing, South Dakota, Texas, USGS Science Data Catalog (SDC), Water Resources, Wyoming, blue water, evapotranspiration, irrigation, remote sensing, water use, Fewer tags 1 2 3 4 5 ... 16 »