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These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Categories: Data Release - Revised;
Tags: Arizona,
California,
Colorado,
Field Brome,
Great Basin, All tags...
Harmonized Landsat Sentinel,
Idaho,
Kansas,
Montana,
NDVI,
Nebraska,
Nevada,
New Mexico,
North Dakota,
Oklahoma,
Oregon,
Poa secunda,
South Dakota,
Texas,
Texas brome,
USGS Science Data Catalog (SDC),
United States,
Utah,
Washington,
Wyoming,
annual grass,
annual herbaceous,
cheatgrass,
exotic,
https://doi.org/10.5066/P1Y5TZBM,
invasive species,
medusahead,
nonindigenous species,
noxious,
perennial grass,
red brome,
remote sensing,
rye brome,
sagebrush,
soft brome,
western United States, Fewer tags
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These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Field Brome,
Great Basin, All tags...
Harmonized Landsat Sentinel,
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,
https://doi.org/10.5066/P1Y5TZBM,
invasive species,
medusahead,
nonindigenous species,
noxious,
perennial grass,
red brome,
remote sensing,
rye brome,
sagebrush,
soft brome,
western United States, Fewer tags
|
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
|
Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge et al. 2020). We integrated remotely sensed data (250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) (https://earthexplorer.usgs.gov/)) with land cover, biogeophysical (i.e., soils, topography) and climate data into regression-tree software (Cubist®). We...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arid,
Arizona,
Colorado,
Ecology,
Geography, All tags...
Grass,
LCMAP,
Land Cover Monitoring Assessment & Projection,
MTBS,
Machine learning,
Modeling,
Monitoring Trends in Burn Severity,
NLCD,
National Land Cover Database,
New Mexico,
POLARIS Soils,
PRISM Normals (1981 - 2010),
Rangeland,
Regression tree,
Remote Sensing,
Semiarid,
Shrub,
Spatial analysis,
USGS Science Data Catalog (SDC),
United States,
Upper Colorado River Basin,
Utah,
West,
Wyoming,
geoscientificInformation,
western United States, Fewer tags
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NASS USDA estimates the irrigated croplands at county level every five years. But this estimation does not provide the geospatial information of the irrigated croplands. To provide a comprehensive, consistent, and timely geospatially detailed information about irrigated cropland conterminous U.S. (CONUS), the "Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)" product was produced by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center with funding from several USGS programs (National Land Imaging and National Water-Quality Assessment). A primary objective was to identify, and map irrigated agricultural areas to...
Tags: Geography,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
Water Resources, All tags...
agriculture,
environment,
farming,
irrigation,
multispectral imaging,
remote sensing, Fewer tags
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