Revealing the Spatiotemporal Evolution of Landscape Ecological Resilience in China's Yellow River Basin Using Remote Sensing and Explainable AI

Code and Workflow for: Revealing the Spatiotemporal Evolution of Landscape Ecological Resilience in China's Yellow River Basin Using Remote Sensing and Explainable AI. Overview This archive provides the complete executable workflow used in this study, ensuring transparency and reproducibility. It includes:Raster data preprocessing and spatial alignmentLightGBM machine learning modeling with grid search & spatial cross-validationSHAP-based explainable AI analysisMulti-year spatiotemporal modeling frameworkInVEST ecosystem service modeling (SDR, Carbon, Water Yield, Habitat Quality) Contents This Figshare repository contains: notebooks/– Google Colab notebooks covering the full workflowscripts/– Core Python utility functions (data processing, modeling, SHAP)config/– Example configuration templates for file pathsrequirements.txt– Python dependenciesoutputs_example/– Sample outputs (figures/tables for reference)