yotkadata/uhi_detector
Using Deep Learning and satellite imagery to detect Urban Heat Island (UHI) effects
This tool helps urban planners and environmental analysts identify areas contributing to the Urban Heat Island effect by processing satellite imagery. It takes raw Landsat 8 satellite data and outputs detailed maps showing land surface temperature, vegetation index, building footprints, and building luminance. City planners, urban developers, and environmental researchers can use this to pinpoint specific locations for interventions like green roofs or material changes.
No commits in the last 6 months.
Use this if you need to visualize and quantify heat distribution across urban landscapes to inform climate change adaptation strategies and sustainable development.
Not ideal if you need real-time monitoring or predictive modeling beyond identifying existing heat island effects.
Stars
43
Forks
9
Language
Python
License
GPL-3.0
Category
Last pushed
Sep 24, 2024
Commits (30d)
0
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