Western Geographic Science Center

Data and Tools

Filter Total Items: 103
Date published: May 14, 2020

Raster Products Showing Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A.

Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to m

Date published: April 1, 2020

Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050

As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering part of the northern Great Basin (Beaty Butte Herd Management Area, Hart Mountain National Antelope Refuge, and Sheldon National Refuge). The dataset contains an empirically-based business-as-us

Date published: February 10, 2020

Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps

This data release comprises the raster data files and code necessary to perform all analyses presented in the associated publication. The 16 TIF raster data files are classified surface water maps created using the Dynamic Surface Water Extent (DSWE) model implemented in Google Earth Engine using published technical documents. The 16 tiles cover the country of Cambodia, a flood-prone coun...

Date published: January 9, 2020

Liquid water content of coastal California fog events, San Mateo County

Liquid water content (LWC) measurements were collected during coastal fog events using specialized fog water collection units outfitted with six flat panel mesh collector frames. Simultaneous meteorological measurements were collected for four variables: wind, temperature, humidity, and solar radiation. The dataset includes ~12,000 records for two sites. Site one is in a grassl

Date published: December 2, 2019

Crop Water Productivity Studies for WaterSMART

Understanding how mitigation or adaptation strategies can be applied locally or regionally in response to climate change is a major issue for land managers. We propose a new and innovative approach to help optimize water use in California’s agricultural areas.

Date published: December 2, 2019

ACCA California (Wu & Thenkabail)

An automated cropland classification algorithm (ACCA) that is rule-based is illustrated here for the state of California, USA. 

Date published: December 2, 2019

An Automated Cropland Classification Algorithm (ACCA) for Tajikstan by Combining Landsat, MODIS, and Secondary Data

The overarching goal of this research was to develop and demonstrate an automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and accurately classify agricultural cropland extent, areas, and characteristics (e.g., irrigated vs. rainfed) over large areas such as a country or a region through combination of multi-sensor remote sensing and secondary data.

Date published: December 2, 2019

ACCA Tajikistan (Wu & Thenkabail)

The automated cropland classification algorithm (ACCA) is written in ERDAS Modeler, and hence the algorithm file is available in .gmd format.

Date published: November 22, 2019

Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires

This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sample

Date published: October 17, 2019

Data supporting Landsat time series assessment of invasive annual grasses following energy development

To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maxim

Date published: September 18, 2019

Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States

Thenkabail, P., I. Aneece. Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001. 2019, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/Community/GHISA/GHISACONUS.001.

Date published: September 13, 2019

Subset of 8-digit Hydrologic Unit Code (HUC) watershed shapefile for the greater Central Valley, California - Data

This subset of the USGS Water Boundary Dataset contains the polygons of the 50 8-digit Hydrologic Units that comprise the greater Central Valley study site. The Watershed Boundary Dataset is a comprehensive set of digital spatial data that represents the surface drainages areas of the United States. The information included with the features includes a feature date, a unique common identifier...