impervious-surface-mapping
CommunityExtract impervious surfaces from optical remote sensing imagery and generate coverage maps.
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill extracts impervious surfaces like buildings and roads from remote sensing imagery and calculates impervious surface ratios, supporting sponge city planning and urban waterlogging risk assessment.
Core Features & Use Cases
- Impervious Surface Extraction: Detects impervious surfaces using NDBI or threshold methods from optical remote sensing imagery.
- Surface Ratio Calculation: Computes impervious surface ratios and generates coverage maps.
- Use Case: For urban planning and waterlogging risk assessment, this skill identifies areas with high imperviousness to assist in海绵城市 development and flood risk reduction.
Quick Start
Invoke the impervious-surface-mapping skill by providing an optical image and specifying the extraction method.
Dependency Matrix
Required Modules
rasterionumpyscipy
Components
scriptsassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: impervious-surface-mapping Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#impervious-surface-mapping Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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