Email:
tbenedict@contractor.usgs.gov
Office Phone:
605-594-2861
ORCID:
0000-0001-8672-2204
Location
47914 252nd Street
Sioux Falls
, SD
57198-9801
US
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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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Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced eight metrics identifying the sustainable growth characteristics of 16 EAG species throughout level III Commission for Environmental...
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Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced two metrics identifying the sustainable growth characteristics of 16 EAG species throughout level III Commission for Environmental...
Categories: Data Release - Revised;
Tags: Amplitude (AMP),
Arizona,
California,
Colorado,
Drought, All tags...
Duration (DUR),
Ecology,
End of Season NDVI (EOSN),
End of Season Time (EOST),
Great Basin,
Harmonized Landsat Sentinel,
Idaho,
Kansas,
Maximum NDVI (MAXN),
Montana,
Nebraska,
Nevada,
New Mexico,
Normalized Difference Vegetation Index (NDVI),
North Dakota,
Oklahoma,
Oregon,
Phenology,
Remote Sensing,
South Dakota,
Start of Season NDVI (SOSN),
Start of Season Time (SOST),
Texas,
Time Integrated NDVI (TIN),
Time of Maximum (MAXT),
USGS Science Data Catalog (SDC),
United States,
Utah,
Vegetation Phenology,
Washington,
Western United States,
Wyoming, 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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Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational fashion from satellite time-series data. The phenological metrics data produced at USGS EROS provide indicators of key phenological events for the conterminous United States on a yearly basis based on Collection 6 Aqua eMODIS NDVI input data (for the 2003 - 2020 metrics). As the objective is to monitor the phenological dynamics of the...
Tags: Amplitude (AMP),
C6 Aqua,
Conterminous U.S.,
Drought,
Duration (DUR), All tags...
End of Season - Time (EOST),
End of Season – NDVI (EOSN),
Land Use Change,
Maximum NDVI (MAXN),
Moderate Resolution Imaging Spectroradiometer (MODIS),
Phenology,
Phenology Metrics,
Remote Sensing,
Start of Season – NDVI (SOSN),
Start of Season – Time (SOST),
Time Integrated NDVI (TIN),
Time of Maximum (MAXT),
USGS Science Data Catalog (SDC),
Vegetation Phenology,
eMODIS, Fewer tags
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