EcoVasudha β€” Environmental Intelligence Platform
Case Study / Project

EIA Baseline Mapping for Solar Park

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Multi-criteria spatial analysis to determine optimal sites for utility-scale solar deployment while minimizing environmental impact.

Project Context & Client Need

An environmental consultancy required rapid, accurate baseline mapping and site suitability analysis for a proposed 500MW solar park. The goal was to identify optimal locations that maximized solar irradiance while strictly avoiding ecologically sensitive zones, agricultural land, and high-slope terrain.

Methodology & Data Sources

We employed a GIS-based Multi-Criteria Decision Analysis (MCDA) approach. Datasets included:

  • Global Solar Atlas data for Direct Normal Irradiance (DNI).
  • SRTM 30m DEM for slope and aspect calculation.
  • Sentinel-2 derived LULC to mask out water bodies, forests, and active agriculture.
  • Proximity layers to existing transmission infrastructure and road networks.

Weights were assigned using the Analytic Hierarchy Process (AHP) and processed in QGIS.

Deliverables

We delivered a highly detailed Suitability Index raster, vector polygons of the top 5 optimal sites, and a 20-page environmental baseline report ready for inclusion in the client’s official EIA submission.

Key Insight

By integrating environmental constraints early in the spatial model, we identified a 1,200-hectare contiguous tract of degraded wasteland near existing grid infrastructure, significantly reducing the client’s projected environmental mitigation costs.

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