urban-remote-sensing
CommunityMap impervious surfaces and urban heat fast.
Education & Research#change detection#rasterio#ndvi#urban remote sensing#lulc classification#urban heat island#impervious surface
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Urban remote sensing turns satellite imagery into actionable measurements of land cover change and surface temperature patterns, saving analysts from manual, time-consuming interpretation.
Core Features & Use Cases
- Impervious Surface Mapping & Vegetation Indices: Compute NDVI, NDBI, NDWI to separate vegetation, water, and built-up areas for impervious surface detection.
- LULC Classification from Spectral Features: Train and apply a supervised classifier (e.g., Random Forest) using band values plus derived indices to produce an urban land use/land cover map.
- Urban Heat Island (UHI) Profiling & Change Detection: Analyze LST–NDVI relationships, compute UHI intensity via transects/rings, and detect expansion between time periods using spectral index differencing.
Quick Start
Use the urban-remote-sensing Skill to analyze a multispectral urban scene by computing spectral indices, classifying land cover, and generating an urban heat island profile from satellite-like raster inputs.
Dependency Matrix
Required Modules
None requiredComponents
assets
đź’» Claude Code Installation
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Please help me install this Skill: Name: urban-remote-sensing Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#urban-remote-sensing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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