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Deep learning models for mapping surficial geology in selected physiographic regions of New York

September 17, 2026

This data release contains training data, digital elevation models, and validation data used to generate and validate deep learning models of surficial geology in two physiographic regions of upstate New York.  The two regions are the high-relief Allegheny Plateau and the low-relief Erie-Ontario Lowlands. All deep learning preparation and model creation was conducted with deep learning tools available in ArcGIS Pro V 2.9+ (https://pro.arcgis.com/en/pro-app/latest/help/analysis/image-analyst/de…) and methods outlined in (Odom and Doctor, 2023).

Publication Year 2026
Title Deep learning models for mapping surficial geology in selected physiographic regions of New York
DOI 10.5066/P13BPGDZ
Authors Jason Finkelstein, Joshua C Woda, John H Williams, William E Odom
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization New York Water Science Center
Rights This work is marked with CC0 1.0 Universal
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