UHI Analysis
Detecting and Analyzing Urban Heat using Python and GEE
UHI Analysis launched on August 21, 2025 with 11 votes, #1,601 of 8,530 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Detecting and predicting Urban Heat Islands (UHIs) using satellite temperature and land use data with Python and Google Earth Engine. - ArhamOrioner/UHI-Analysis
This repository provides a powerful, modular, and command-line-driven framework for detecting, analyzing, and predicting Urban Heat Islands (UHIs) in any city worldwide. It leverages the planetary-scale data catalog of Google Earth Engine (GEE) for efficient satellite imagery acquisition and uses a robust Python stack (Scikit-learn, GeoPandas, SHAP) to deliver deep, actionable insights. The entire analysis is now orchestrated through a clean command-line interface (app.py), making it simple to configure and run complex geospatial workflows for different cities and years. To demonstrate the power of this tool, here are the final results from a full annual analysis of Las Vegas for the year…from github.com
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