Filters: Tags: random forest model (X)
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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,
These data (all data tables for the data release) represent a suite of biotic and abiotic variables that characterized plant communities and the geologic, geomorphic, edaphic, climatic, and land use history context in which distinct plant communities occur. In 2009, the National Park Service's Inventory and Monitoring program for the Northern Colorado Plateau Network (NCPN) began measuring vegetation cover and site characteristics at monitoring plots stratified across different vegetation types within national parks on the Colorado Plateau. NCPN biologists remeasured vegetation cover at these plots in a rotating panel over the following decade. In 2019, U. S. Geological Survey geologists and soil scientists collected/compiled...
Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model....
Categories: Data;
Tags: Biomass imputation,
Changbai Mountains,
Greater Khingan Mountains,
Heilongjiang,
Hulun Buir Plateau,
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