urban-change-detection
CommunityDetect urban area changes through multi-temporal remote sensing imagery
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The urban-change-detection Skill addresses the need for efficient urban change detection, pinpointing areas such as illegal construction, illicit dumping, land-use conversion, and urban renewal for better governance and monitoring.
Core Features & Use Cases
- Multi-Temporal Analysis: Analyzes changes in urban areas using two or more sets of remote sensing imagery.
- Illegal Construction Detection: Identifies new buildings that might be unauthorized constructions.
- Use Case: Imagine you need to monitor the growth of a city over time and identify instances of unauthorised construction. This Skill can quickly compare multiple images to find significant changes.
Quick Start
Use the 'urban-change-detection' skill with inputs for the pre and post imagery, such as 'image_t1' and 'image_t2'.
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: urban-change-detection Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#urban-change-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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