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Analysis Tool - Data2HSM via GeoPDNN

Preview

Published by:
California Department of Water Resources
Last updated:
November 26, 2024
File details:
N/A
Access data:
Description:

The GeoPDNN (Geological Pseudolabel Deep Neural Network) is a semi-supervised machine learning tool that integrates point-based datasets - such as formation picks from lithologic well logs or individual AEM soundings- into plausible stratigraphic surfaces for a preliminary hydrostratigraphic model. File contains a preliminary description of the Data2HSM via GeoPDNN tool. Tool expected to be publicly available in Mid-late 2025.

API endpoint

Dataset Name

Use the query web API to retrieve data with a set of basic parameters. Copy the API endpoint you need to start.

Usage documentation