The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

Urban Heat Risk Mapping in New York City Using GIS and Fuzzy AHP-Based Multi-Indicator Analysis

as Valmassoi and Keller, 2021.

🌀 🏘️ The WRF-TEB software repository

Evaluation of urban greening for heat mitigation in Lausanne

R-Scripts for Thesis about UHI

This codebase stores all scripts and programs used in my experiments for my Spring 2024 Independent Study (ECE 392).

Using this script users can project UHI effect on building simulation data. The script presents a list of parameters that can be added to the UWG parametric tool

Geospatial analysis of Urban Heat Island in Patras based on land cover

Multi-temporal environmental health exposure assessment for Khordha and Cuttack districts, Odisha. Sentinel-2 LULC, PCA-weighted composite index (heat, green access, blue proximity, air quality, industrial exposure), spatial statistics, scenario-based green-blue intervention modelling, and ML-driven urban typologies.

An Arduino project for urban heat island monitoring using ESP32, BME280 sensor, u-blox GPS, and SD card data logging.

Project GIS/RS Application for Applied Meteorology Course

🌡️ Urban Thermal Equity Intelligence Platform — Real-time heat vulnerability monitoring across 14 census tracts in Montgomery, AL. Interactive choropleth maps, live weather, AI-powered risk analysis (Gemini), and dual-format PDF/DOCX reports for city planners & grant writers. Next.js 14 · TypeScript · Leaflet

Ground stations - satelite data comparison using low-cost temperature sensors and MODIS Land Surface Temperature data

Urban Heat Island analysis for Berlin — satellite, weather, and land use data

Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.

Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.

Solar Thermophotovoltaic Cell - EIC 2017 Project