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flood-risk-mapping

Generate urban flood risk maps from optical imagery and DEM elevation data.

Updated Jun 2, 2026
Search Tags:#risk assessment#GIS#remote sensing#flood risk#DEM
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill flood-risk-mapping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flood-risk-mapping
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/remote_sensing_image/flood-risk-mapping
Command: npx skills add https://github.com/bettercallfan/deerflow --skill flood-risk-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of urban flood risk assessment by combining optical remote sensing water extraction with DEM elevation analysis, providing detailed risk maps and governance reports.

Core Features & Use Cases

  • Flood Risk Mapping: Generates high/medium/low flood risk maps using NDWI and DEM data.
  • Risk Assessment: Classifies areas into flood risk levels based on elevation and water proximity.
  • Use Case: For city planners and emergency managers, this Skill can help identify high-risk areas for flood mitigation and emergency response planning.

Quick Start

Run the flood-risk-mapping skill with the following command:

python /home/ubuntu/skills/flood-risk-mapping/scripts/main.py --action run --inputs-json '{"image_optical":"/path/to/sentinel2.tif","dem":"/path/to/srtm.tif"}' --output-dir /tmp/outputs/frm

Frequently Asked Questions about flood-risk-mapping

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

FAQPage Schema
How do I generate an urban flood risk map using remote sensing and DEM data?▼

Generate urban flood risk maps by combining optical remote sensing water extraction with DEM elevation analysis. The process classifies areas into high, medium, and low flood risk levels and outputs risk zone maps and governance reports.

What is the best way to classify flood risk levels from DEM elevation models?▼

Classifying flood risk levels from DEM elevation models involves combining elevation data with optical remote sensing water extraction. This approach categorizes terrain into high, medium, and low flood risk zones based on elevation and water proximity.

Can I use optical remote sensing for urban flood risk assessment?▼

Yes, optical remote sensing is used for urban flood risk assessment by extracting water features and combining them with DEM elevation analysis. This method identifies high-risk flood areas for city planners and emergency managers.

Do I need both NDWI water extraction and DEM data to map flood zones?▼

Yes, you need both NDWI optical remote sensing water extraction and DEM elevation data to generate accurate flood risk maps. Combining these inputs allows the classification of areas into high, medium, and low flood risk levels.

How does DEM elevation analysis identify high-risk flood areas?▼

DEM elevation analysis identifies high-risk flood areas by evaluating terrain elevation alongside optical remote sensing water extraction. Lower elevations near extracted water bodies are classified into high flood risk zones for mitigation planning.

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