Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management - v2
This dataset includes code and data to recreate analysis from the manuscript "Nauman, T.W., Munson, S.M., Dhital, S, Webb, N.P., Duniway, M.C. Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for managemen". In prep for STOTEN. This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.
- 2x zip
Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management
This dataset includes code and data to recreate analysis from the manuscript "Nauman, T.W., Munson, S.M., Dhital, S, Webb, N.P., Duniway, M.C. Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for managemen". In prep for STOTEN. This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.
- 2x zip
Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (spatial files)
To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.
Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (tabular files)
To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.
FSGeodata Clearinghouse
The USDA Forest Service Geodata Clearinghouse is an online collection of digital data related to forest resources. Through the Clearinghouse you can find datasets related to forests and grasslands, including boundaries and ownership, natural resources, roads and trails, as well as datasets related to State and private forested areas, including insect and disease threat and surface water importance. You can also find downloadable map products, raster data, and links to other sources of forest resource information.
USDA Forest Service Geospatial Technology and Applications Center (GTAC)
The Forest Service's Remote Sensing Applications Center (RSAC) is in Salt Lake City, Utah, co-located with the agency's Geospatial Service and Technology Center. Guided by national steering committees and field sponsors, RSAC provides national assistance to agency field units in applying the most advanced geospatial technology toward improved monitoring and mapping of natural resources. RSAC's principal goal is to develop and implement less costly ways for the Forest Service to obtain needed forest resource information.