5 datasets found
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Federal
Map feature extraction challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Map georeferencing challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
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
Department of the Interior —
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).... -
Federal
Deep learning classification of landforms from lidar-derived elevation models in the glaciated portion of the northern Delaware River Basin of New Jersey, New York, and Pennsylvania
Department of the Interior —
The Delaware River Basin (DRB) covers portions of five states (Delaware, Maryland, New Jersey, New York, and Pennsylvania) and several geologic provinces,... -
Federal
Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort....
5 datasets found