Machine learning bedrock property prediction

Local Knowledge Graph (37 entities)

Knowledge graph centered on Machine learning bedrock property prediction with 37 nodes and 121 connections. Top connected: climate change, groundwater storage dynamics, leaf water content, biogeochemical reactions, nitrogen retention.

Description

Extremely randomized trees regression model to predict subsurface electrical resistivity from surface geomorphological and vegetation parameters, enabling watershed-scale bedrock characterization.

Typical Equipment

• Python
• scikit-learn package

Output Measurements

• predicted electrical resistivity maps
• fracture density estimates
• model accuracy metrics

Papers Using This Protocol (1)

Places Where Used