Data Releases

The Mars 2020 rover will explore Jezero crater, Mars to investigate an ancient delta for evidence of past microbial life and to better understand the geologic history of the region. The landing system onboard Mars 2020 will use technology developed at the Jet Propulsion Laboratory (JPL) called Terrain Relative Navigation (TRN), which will enable the spacecraft to autonomously avoid hazards (e.g.,

The Mars 2020 rover will explore Jezero crater, Mars to investigate an ancient delta for evidence of past microbial life and to better understand the geologic history of the region. The landing system onboard Mars 2020 will use technology developed at the Jet Propulsion Laboratory (JPL) called Terrain Relative Navigation (TRN), which will enable the spacecraft to autonomously avoid hazards (e.g.,

This is a visible image mosaic generated from the Context Camera (CTX) images from the Mars Reconnaissance Orbiter mission. This product is the Lander Visions System (LVS) map that will be onboard the spacecraft and will be the “truth” dataset that TRN will use to orient itself relative to the surface during Entry, Decent, and Landing. The images were orthorectified using digital terrain models (D

As much as 22 inches of rain fell in Oklahoma in May 2019, resulting in historic flooding along the Arkansas River and its tributaries in eastern and northeastern Oklahoma. The flooding along the Arkansas River and its tributaries began in May continued into June 2019. Peaks of record were measured at nine U.S. Geological Survey (USGS) and U.S. Army Corps of Engineers (USACE) streamgages on variou

The product data are six statistics that were estimated for the chemical concentration of lanthanum in the soil C horizon of the conterminous United States (Smith and others, 2013). The estimates are made at 9998 locations that are uniformly distributed across the conterminous United States. The six statistics are the mean for the isometric log-ratio transform of the concentrations, the equivalent

Data in this document record the ground-surface positions from 1996 to 2018 of monuments located on different kinematic elements of the Cleveland Corral landslide, or on nearby more stable ground. Data were collected about once a year in campaign mode, at times when the landslide was dormant and not moving (typically late spring or fall). Survey timing was selected to identify wet-season movement

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, t

This dataset includes physical, hydraulic, and thermal properties of soils collected in two sub-watersheds in the Noatak River Basin in northwestern Alaska. Physical properties include dry bulk density and porosity. Hydraulic properties include field- and lab-based hydraulic conductivity, soil-water retention data, and parameters used in a common soil-water retention model (van Genuchten model). T

This data set includes 15-minute interval data on stream temperature, stage, and discharge from low-order streams in the Yukon River Basin in interior Alaska, collected during the summer months. The depth of the water and temperature were determined using a combined pressure transducer and temperature sensor that was deployed through the summer months. Different sensors were used in each stream an

Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp.),

This series of five raster datasets includes three input rasters developed to model habitat suitability for two ungulate species on the island of Lanai; the two habitat suitability model raster datasets are also part of this data release. Input datasets were derived from WorldView-2 data to create vegetation (hereafter, NDVI) and bare ground indices, and from a Digital Elevation Model (DEM) to cre

This dataset supports the following publication: "Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States" (DOI:10.1016/j.rse.2020.112013). The data release allows users to replicate, test, or further explore results. The dataset consists of 4 separate items based on the analysis approach used in the original publicat