Data

To support the modeling of storm-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Central California Coast. High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science application

The landscape of the conterminous United States has changed dramatically over the last 200 years, with agricultural land use, urban expansion, forestry, and other anthropogenic activities altering land cover across vast swaths of the country. While land use and land cover (LULC) models have been developed to model potential future LULC change, few efforts have focused on recreating historical land

Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e., it serves as a potential carbon sink). In this study, we integrated marginal croplands, highly erodible cropland buffers, and future

We integrated 250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) with land cover, biogeophysical (e.g., soils, topography) and climate data into regression-tree software (Cubist). We integrated this data to create a time series of spatially explicit predictions of herbaceous annual vegetation cover in sagebrush ecosystems, with an em

Located in the western Pacific Ocean, Majuro is a large coral atoll consisting of a large, central narrow land mass and remote islands that are part of the Republic of the Marshall Islands. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist

Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, enhancing a more complete understanding of broad-scale ecosystem processes. This data release presents maps of estimates of annual gross primary production (GPP) and annual ecosystem respiration (RE) that were derived fr

This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data ga

The Vertical Land Change project is an assessment of the impacts of surface mining in Perry County, Kentucky, the Mesabi Iron Range in northeastern Minnesota, and the west central part of Wisconsin. This project builds and expands upon previous vertical land change efforts (Gesch, 2006) by conducting research into the issues surrounding the integration of 3D data products with 2D remote sensing im

To help characterize the groundwater system at Homestake Mining Company Superfund Site near Milan, New Mexico, the U.S. Geological Survey collected borehole geophysical and groundwater-quality data in cooperation with the U.S. Environmental Protection Agency during JulyOctober 2016. The following borehole geophysical data were collected from wells at or near the Homestake Mining Company Superfund

Cheatgrass dramatically changes shrub steppe ecosystems in the West, mainly by changing the fire regime. The creation of maps of current-season cheatgrass location and density has been difficult to estimate rapidly. USGS researchers have developed methods for producing a near-real-time cheatgrass percent cover dataset. They have completed a dataset that depicts cheatgrass across a large portion of

This product provides regional estimates of specific wetland types (bog and fen) in Alaska. Available wetland types mapped by the National Wetlands Inventory (NWI) program were re-classed into bog, fen, and other. NWI mapping of wetlands was only done for a portion of the area so a decision tree mapping algorithm was then developed to estimate bog, fen, and other across the state of Alaska using r

Land use and land cover (LULC) change occurs at a local level within contiguous ownership and management units (parcels), yet LULC models primarily use pixel-based spatial frameworks. The few parcel-based models being used overwhelmingly focus on small geographic areas, limiting the ability to assess LULC change impacts at regional to national scales. We developed a modified version of the Foreca