Data

CONUS-wide acutal ET (ETa) from Landsat thermal imagery-using the Operational Simplified Surface Energy Balance (SSEBop) model in the Google Earth Engine (GEE) cloud computing platform. Over 150,000 Landsat satellite images were used to produce 10 years of annual ETa (2010-2019).

LCMAP Science Products are developed by applying time-series modeling to U.S. Landsat Analysis Ready Data (ARD) to detect land surface change. An application of the Continuous Change Detection and Classification (CCDC, Zhu and Woodcock 2014) was developed by the LCMAP Science Team at the USGS Earth Resources Observation and Science (EROS) Center (Brown et al., 2020). LCMAP Collection v1.1 Science

We developed a 30-m spatial resolution forest regrowth time map for CONUS over 1985–2017. This map is the first attempt, as far as we know, to quantify tree regrowth rate at a national extent in the United States. The method used all available Landsat images to detect disturbances over forest lands and classify grass/shrub to tree class transitions on an annual basis. The average regrowth time was

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 1 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful informa

This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonic

Rangelands have immense inherent spatial and temporal variability, yet assessments of land condition and trends are often assessed relative to the condition of a limited number of representative points. Ecological Potential (EP) data are spatially comprehensive, quantitative, and needed as a baseline for comparison of current rangeland vegetation conditions, trends, and management targets. We defi

A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.1 annual land cover products (1985-2019) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984-2018) to a reference sample of 24,971 randomly-selecte

The USGS's FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3 climate real

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) has started to initiate the development of pilot 3D National Topography Models to generate 3-dimensional surface elevation models that integrate river topographic bare-earth elevation surfaces with channel bed bathymetry. Detailed knowledge of integrated river system topography, bathymetry, and topobathymetry, is essential for habitat r

U.S. Geological Survey (USGS) scientists conducted field work efforts during February 15-23, 2017 and April 10-25, 2019 in the mangrove forests of Pohnpei, Federated States of Micronesia (FSM) with logistical assistance from the Micronesia Conservation Trust (MCT) and field assistance from the Conservation Society of Pohnpei and the Pohnpei Department of Forestry. The field team combined the surve

U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the week of September 25 - 29, 2017, using a combination of conventional surveying technologies, for a large stretch of the Kootenai River near Bonners Ferry, Idaho. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data. The goal was to co

The dataset consists of three raster GeoTIFF files describing the following soil properties in the US: available water capacity, field capacity, and soil porosity. The input data were obtained from the gridded National Soil Survey Geographic (gNATSGO) Database and the Gridded Soil Survey Geographic (gSSURGO) Database with Soil Data Development tools provided by the Natural Resources Conservation S