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

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Perennial Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...

Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags... Black Hills, Blue Mountains, CA, CO, California, Canada, 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, Prairie Provinces, Rocky Mountains, SD, SK, Saskatchewan, 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, shrub height, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, vegetation height, Fewer tags

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Perennial Herbaceous 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

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

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 4.0, 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, USGS:64709b34d34e4e58932d1d82, 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

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 2.0, 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

Bare Ground Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin

Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...

Types: Citation; Tags: 002, 007, 010, AZ, CA, All tags... Geospatial Products, Great Basin, Great Basin, ID, NV, OR, Remote Sensing, SageDAT-data, Shrubland, State of Arizona, State of California, State of Idaho, State of Nevada, State of Oregon, State of Utah, U.S., U.S. Geoloical Survery, US, USGS, UT, United States, annual herbaceous, bare ground, big sagebrush, biota, digital spatial data, environment, herbaceous, imageryBaseMapsEarthCover, land cover, litter, sagebrush, shrub, Fewer tags

Sagebrush Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin

Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...

Types: Citation; Tags: 002, 007, 010, AZ, CA, All tags... Geospatial Products, Great Basin, Great Basin, ID, NV, OR, Remote Sensing, SageDAT-data, Shrubland, State of Arizona, State of California, State of Idaho, State of Nevada, State of Oregon, State of Utah, U.S., U.S. Geoloical Survery, US, USGS, UT, United States, annual herbaceous, bare ground, big sagebrush, biota, digital spatial data, environment, herbaceous, imageryBaseMapsEarthCover, land cover, litter, sagebrush, shrub, Fewer tags

Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)

The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based...

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bromus tectorum, California, Colorado, Desert, Ecology, All tags... Geography, Great Basin, Idaho, Land Use Change, Montana, Nevada, Oregon, Remote Sensing, Snake River Plain, USGS Science Data Catalog (SDC), Utah, Wyoming, annual grass, annual herbaceous, cheatgrass, fire, geoscientificInformation, habitat, invasive, ndvi, sagebrush, satellite, Fewer tags

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Annual Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...

Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags... Black Hills, Blue Mountains, CA, CO, California, Canada, 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, Prairie Provinces, Rocky Mountains, SD, SK, Saskatchewan, 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, shrub height, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, vegetation height, Fewer tags

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Sagebrush Fractional Component Time-Series Across Western North America from 1985-2023

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...

Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags... Black Hills, Blue Mountains, CA, CO, California, Canada, 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, Prairie Provinces, Rocky Mountains, SD, SK, Saskatchewan, 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, shrub height, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, vegetation height, Fewer tags

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Perennial Herbaceous

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 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...

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

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Trends

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 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...

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

Rangeland Condition Monitoring Assessment and Projection (RCMAP) Sagebrush 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

Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) 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, Land Use Change, 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, USGS Science Data Catalog (SDC), 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

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species and Sandberg bluegrass in the Sagebrush Biome, USA, 2016 - 2022 (ver. 3.0, July 2023)

This dataset release provides historical (2016 - 2022) estimates of fractional cover for exotic annual grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes four fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, cheatgrass (Bromus tectorum); medusahead (Taeniatherum caput-medusae); and Sandberg bluegrass (Poa secunda). The data were generated using a combination of field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) plots; remotely sensed data from the Harmonized Landsat and Sentinel-2 (HLS) product (specifically Normalized...

Categories: Data, Data Release - Revised; 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, South Dakota, Texas, Texas brome, USGS Science Data Catalog (SDC), USGS:61716970d34ea36449a77130, United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, invasive species, medusahead, nonindigenous species, noxious, perennial bunch grass, poa secunda, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags

Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands

Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Central Basin and Range, Land Use Change, MT, Montana, NV, All tags... Nevada, Northern Basin and Range, Northwestern Great Plains, Southern Rockies, USGS Science Data Catalog (SDC), United States, WY, Wyoming, Wyoming Basin, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, environment, fractional components, geoscientificInformation, grass, herbaceous, imageryBaseMapsEarthCover, litter, rangelands, remote sensing, sagebrush, shrub, shrubland, shrubland ecosystems, shrublands, terrestrial ecosystems, time-series, validation, vegetation, Fewer tags

Big Sagebrush Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin

Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...

Types: Citation; Tags: 002, 007, 010, AZ, CA, All tags... Geospatial Products, Great Basin, Great Basin, ID, NV, OR, Remote Sensing, SageDAT-data, Shrubland, State of Arizona, State of California, State of Idaho, State of Nevada, State of Oregon, State of Utah, U.S., U.S. Geoloical Survery, US, USGS, UT, United States, annual herbaceous, bare ground, big sagebrush, biota, digital spatial data, environment, herbaceous, imageryBaseMapsEarthCover, land cover, litter, sagebrush, shrub, Fewer tags

Annual Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area

Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...

Types: Citation; Tags: 002, 007, 010, Black Hills, CO, All tags... Geospatial Products, ID, MT, Montana, ND, NE, Remote Sensing, SD, SageDAT-data, Sate of Idaho, Shrubland, South Dakota, State of Colorado, State of Montona, State of Nebraska, State of North Dakota, State of South Dakota, State of Utah, State of Wyoming, U.S., U.S. Geoloical Survery, US, USGS, UT, United States, WY, Wyoming, annual herbaceous, bare ground, big sagebrush, biota, digital spatial data, environment, herbaceous, imageryBaseMapsEarthCover, land cover, litter, sagebrush, shrub, Fewer tags