Knowledge graph centered on Machine learning bedrock property prediction with 65 nodes and 127 connections. Top connected: Spruce, climate change, Rocky Mountain Biological Laboratory, groundwater storage dynamics, leaf water content.
Extremely randomized trees regression model to predict subsurface electrical resistivity from surface geomorphological and vegetation parameters, enabling watershed-scale bedrock characterization.
Synthesized from method descriptions across 1 paper using this protocol.
Steps below were extracted from the paper that introduces this protocol — Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics (2022), Science Advances. Implementations in other papers (listed below) may differ.