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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 Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, Colorado, Great Basin, Harmonized Landsat Sentinel, Idaho, All tags... Information Sciences, Land Use Change, Montana, NDVI, Nevada, Oregon, Texas brome, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, geoscientificInformation, invasive, medusahead, noxious, red brome, rye brome, sagebrush, satellite, soft brome, western United States, Fewer tags Lake Hermitage Marsh Creation (BA-0042): 2016 land-water classification The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Lake Hermitage Marsh Creation (BA-0042) project for 2016. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: BA-00042, CWPPRA, Ecology, Geography, Geography, All tags... Gulf of Mexico, Information Sciences, Information Sciences, Land Use Change, Land Use Change, Louisiana, Louisiana Coastal, Remote Sensing, Remote Sensing, USGS Science Data Catalog (SDC), aerial photography, conservation, digital elevation models, ecosystem monitoring, geographic information systems, image collections, image mosaics, remote sensing, wetland ecosystems, wetland restoration, Fewer tags Observed wildfire frequency, modelled wildfire probability, climate, and fine fuels across the big sagebrush region in the western United States These data were compiled so that annual wildfire could be modelled across the sagebrush region in the western United States. Our goal was to understand how wildfire probability relates to climate and fuel conditions across the entire sagebrush region. To do this we developed a statistical model that represents the relationship between annual wildfire probability and a small number of climate and fuel variables. Specifically, created predictions of wildfire probability using a biologically plausible logistic regression model that related wildfire probability to mean temperature, annual precipitation, the proportion summer precipitation (PSP), and aboveground biomass of annual herbaceous plants and perennial herbaceous... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, Botany, California, Climatology, Colorado, All tags... Ecology, Forestry, Geography, Idaho, Information Sciences, Land Use Change, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oregon, Remote Sensing, South Dakota, USGS Science Data Catalog (SDC), Utah, Washington, Wyoming, aboveground biomass, air temperature, annual plants, annual-grass fire cycle, atmospheric and climatic processes, biogeography, biota, data release, ecology, environment, fine fuel availability, fire occurrence, fires, herbacious plants, human impacts, logistic regression model, mathematical modeling, perennial plants, plants (organisms), precipitation (atmospheric), sagebrush region, vegetation, vegetation data, western United States, widlfire probability, wildfires, Fewer tags