RESEARCH GEOGRAPHER
Earth Resources Observation and Science (EROS) Center
Email:
jfbrown@usgs.gov
Office Phone:
605-594-6003
Fax:
605-594-6529
ORCID:
0000-0002-9976-1998
Location
EROS - Mundt Federal Building
47914 252nd Street
Sioux Falls
, SD
57198-9801
US
Supervisor:
Kristi L Sayler
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The Land Change Monitoring, Assessment, and Projection (LCMAP) products were validated using an independently collected series of reference data. The intial collection included 25,000 reference data plots across the conterminous United States (CONUS) that included land cover, land use, and change process attributes collected from 1984-2018. These collected attributes and plot locations are available as a seperate data collection product. Future collections related to additional years, geographic regions, etc. may occur.
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To describe calling activity of Pseudacris crucifer in relation to temperature, precipitation, and wetland water levels, we programmed an acoustic recorder (Wildlife Acoustics) to sample seasonal amphibian calls remotely at study site SC4DAI2 in the St. Croix National Scenic Riverway from 2008 to 2012. We programmed the recorder to sample for five minutes at the top of every hour of every day from late winter/early spring through late summer. We used the Songscape option in Songscope software to generate annual summaries of all of our acoustic samples from SC4DAI2. These summaries included a median dB level for each prescribed frequency within each recording. Pseudacris crucifer, the spring peeper, inhabited SC4DAI2...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Pseudacris crucifer,
St. Croix National Scenic Riverway, Wisconsin, USA,
USGS Science Data Catalog (SDC),
air temperature,
amphibian calling activity, All tags...
precipitation (atmospheric),
temperature,
wetland surface-water availability, Fewer tags
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The LCNext project has combined concepts and methodology from the legacy LCMAP and NLCD projects, along with modern deep learning convolutional neural networks, to produce promising prototypes of next generation land cover products. The new land cover algorithm will serve as the new baseline for USGS land cover production. NLCD 2023 is a U.S. Geological Survey (USGS) science initiative implemented at the Earth Resources Observation and Science (EROS) Center that harnesses the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. NLCD 2023 uses a modernized, integrated approach to map, monitor, synthesize, and...
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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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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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