"Mapping Spring Vulnerability and Identifying Recharge-Suitable Sites in a Small Himalayan Springshed using GIS Multi-Criteria Analysis and Google Earth Engine: A Study of the Sabli Springshed, Tehri Garhwal, Uttarakhand"

This deposit contains the Google Earth Engine (GEE) workflow and supplementary
methodological files accompanying the study "Mapping Spring Vulnerability and
Identifying Recharge-Suitable Sites in a Small Himalayan Springshed using GIS
Multi-Criteria Analysis and Google Earth Engine: A Study of the Sabli Springshed,
Tehri Garhwal, Uttarakhand."

The workflow maps a Spring Vulnerability Index (SVI) and a complementary Recharge
Potential Index (RPI) for the 0.847 km2 Sabli springshed using five open-data
terrain and land-cover factors (slope, land use/land cover from ESA WorldCover,
NDVI from Sentinel-2, aspect, and distance from settlement), combined by
Analytic Hierarchy Process (AHP) weighting (consistency ratio = 0.020). Terrain
is computed in a metric projection (UTM Zone 44N, EPSG:32644); all layers are
clipped to the catchment and analysed at 30 m resolution.

Files:
- Sabli_SVI_GEE_5factor.js : Google Earth Engine (JavaScript) script implementing
  the full workflow, from data inputs through AHP-weighted overlay to the SVI,
  RPI, per-class area statistics, and candidate recharge sites. Runs in the GEE
  Code Editor (code.earthengine.google.com).
- Sabli_AHP_reclassification.pdf : the AHP pairwise-comparison matrix, derived
  factor weights, and the 1-5 reclassification scheme for each factor.

The indices are presented as a terrain-based screening and recharge-siting aid
rather than a validated discharge predictor; see the accompanying manuscript for
the field-data assessment and limitations. Reuse is welcome with citation.