Reproducible Google Earth Engine Workflow for Multi-Indicator Watershed Assessment (Paguyaman, Indonesia, 2016–2024)

This repository contains the complete reproducible workflow used in the manuscript: "Land Cover Dynamics and Watershed Sustainability: Erosion, Runoff, Productivity, and Water Yield in Paguyaman, Indonesia (2016–2024)" The workflow implements four watershed sustainability indicators using Google Earth Engine (GEE): Land cover classification (Dynamic World) RUSLE soil erosion modelling SCS-CN runoff potential under a 100 mm/24-hour design storm Water yield estimation using P − ET water balance (CHIRPS and ERA5-Land) All analyses were conducted using Python (geemap) in Jupyter Notebooks. The repository includes: Indicator-specific notebooks for 2016, 2020, and 2024 Clear documentation of input datasets and temporal windows Basin-mean calculations Conversion formulas from depth (mm) to volume (m³) Environment specification file (requirements.txt) This release corresponds to version 1.0 used in the revised submission to GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY (Manuscript ID: 4243).