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building-footprint-extraction

Extract building footprints from optical remote sensing imagery using morphological analysis.

Updated Jun 2, 2026
Search Tags:#geojson#remote sensing#building footprint extraction#building survey#illegal construction detection
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill building-footprint-extraction
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building-footprint-extraction
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/remote_sensing_image/building-footprint-extraction
Command: npx skills add https://github.com/bettercallfan/deerflow --skill building-footprint-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, rasterio, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

Extracts building footprints from high-resolution optical remote sensing imagery and provides area statistics. Helps with building surveys, illegal construction detection, and urban planning.

Core Features & Use Cases

  • Building Footprint Extraction: Uses morphological analysis to extract footprints from remote sensing imagery.
  • Area Statistics: Calculates area, category classification, and more for the extracted footprints.
  • Use Case: Use this Skill to analyze building distribution in a specific area, identify unpermitted constructions, or prepare for urban renewal plans.

Quick Start

To extract building footprints from an optical image, run the building-footprint-extraction skill and provide the image path.

Frequently Asked Questions about building-footprint-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract building footprints from high-resolution remote sensing imagery?▼

Extract building footprints from remote sensing imagery by applying morphological analysis to high-resolution optical images. This process identifies structural boundaries and generates geometric outlines suitable for surveys and urban planning workflows.

Can I generate area statistics and categorize building footprints automatically?▼

Yes, building footprint extraction automatically calculates area statistics and performs category classification for the extracted footprints. This provides quantitative data on building distribution and dimensions directly from the imagery.

Does this building footprint extraction method work for detecting illegal construction?▼

Building footprint extraction is applicable for detecting illegal construction by analyzing building distribution in a specific area. Comparing extracted footprints against permitted plans helps identify unpermitted structures efficiently.

What remote sensing image formats are supported for building survey analysis?▼

Building survey analysis supports high-resolution optical remote sensing imagery processed through rasterio. The workflow requires numpy and scipy to perform the morphological analysis and geometric calculations needed for footprint generation.

What are the limitations of using morphological analysis for building footprint extraction?▼

Morphological analysis for building footprint extraction requires high-resolution optical imagery to accurately resolve structural boundaries. Lower resolution inputs may fail to distinguish individual structures, limiting the accuracy of area statistics and categorization.

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