Filters: Tags: Sonoran Desert (X) > Date Range: {"choice":"year"} (X) > Extensions: Raster (X)

Filters Date Types (for Date Range) Types Downloadable (1) GeoTIFF (1) Map Service (1) Raster (1) Contacts Pamela L Nagler Ecosystems Southwest Biological Science Center U.S. Geological Survey Kamel Didan U.S. Geological Survey - ScienceBase Armando Barreto-Muñoz Categories Data (1) Tag Types Theme (1) Place (1) USGS Scientific Topic Keyword (1) Harvest Set (1) Tag Schemes None (1) USGS Thesaurus (1) Geographic Names Information System (GNIS) (1) ISO 19115 Topic Categories (1) USGS information products (1) View Results as: JSON ATOM CSV

Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, Baja California, Botany, California, Ecology, All tags... Forestry, Geography, Hermosillo, Information Sciences, Landsat images, Mexico, Mojave Desert, Phoenix, Remote Sensing, Sonora, Sonoran Desert, Southwest, US-Mexico Transboundary region, USGS Science Data Catalog (SDC), United States, artificial intelligence, biogeography, biota, classification, conservation, data release, desert ecosystems, ecosystem management, imageryBaseMapsEarthCover, land use and land cover, machine learning, modeling, natural resource management, phenology, phenology metrics, random forest model, remote sensing, remote sensing spectral data, time series datasets, transboundary, vegetation, Fewer tags