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climate-resilience

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This project supports urban heatwave risk assessment in Filipino cities by developing geospatial data products on heat vulnerability, air quality, and mobility impacts. It provides evidence and tools for Local Government Units (LGUs) to integrate heat risk into land use planning and climate resilience frameworks.

  • Updated Jun 5, 2024
  • Jupyter Notebook

🛠️ Prototype for Hack Revolution 2025. PS: AI-Powered Crop Yield Prediction & Optimization. Apex Harvest — A web-based AI platform that empowers farmers with data-driven crop yield predictions & personalized optimization tips, without requiring IoT devices or expensive hardware. 🌾

  • Updated Jan 30, 2026
  • TypeScript

Landslide Damage Analysis in Idukki & Wayanad – A geospatial study using Google Earth Engine, Sentinel-1 SAR, Sentinel-2, and DEM data to map landslide-affected areas, detect land cover changes, and quantify terrain damage percentages in Kerala’s most landslide-prone districts.

  • Updated Jan 4, 2026

This project develops geospatial data products to support urban heatwave risk assessment in Filipino cities. It maps historical heatwave occurrences, analyzes heat vulnerability using socio-demographic and air quality indicators, and tracks mobility changes during heatwave events to support land use planning and climate resilience policy.

  • Updated Jan 28, 2026
  • Jupyter Notebook

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