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disaster-risk-assessment

Assess flood, landslide, and fire risk levels using remote-sensing data.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rasterio, numpy, geopandas, shapely, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps to assess flood, landslide, and fire risk levels and vulnerability in a specified area using multi-source remote-sensing data.

Core Features & Use Cases

  • Multi-source Data Fusion: Combines remote-sensing data from various sources to assess risk levels and vulnerability.
  • Risk Analysis Framework: Implements the Hazard × Exposure × Vulnerability framework for comprehensive risk assessment.
  • Use Case: Ideal for urban planning, emergency management, and disaster risk reduction to identify high-risk areas and provide mitigation measures.

Quick Start

To assess flood risk, provide the DEM and LULC files, and run the skill with the 'flood' hazard type.

Frequently Asked Questions about disaster-risk-assessment

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

FAQPage Schema
How do I assess flood risk using remote sensing data in Python?▼

To assess flood risk, provide DEM and LULC files and run the skill with the flood hazard type. It analyzes spatial and demographic data using rasterio and numpy to output vulnerability levels for urban planning.

What is the hazard exposure vulnerability framework for disaster risk assessment?▼

The disaster risk assessment framework calculates risk by multiplying Hazard, Exposure, and Vulnerability. This approach integrates multi-source remote-sensing data to identify high-risk areas and support disaster risk reduction.

Can I use rasterio and geopandas to evaluate landslide susceptibility and fire risk?▼

Yes, you can evaluate landslide susceptibility and fire risk using rasterio and geopandas. The skill processes spatial data to assess vulnerability and output mitigation measures for emergency management.

How do I combine DEM and LULC files for multi-source data fusion in disaster risk analysis?▼

Multi-source data fusion combines DEM and LULC files to assess risk levels and vulnerability. The skill fuses remote-sensing data from various sources to evaluate flood, landslide, and fire hazards.

Does this disaster risk assessment skill support emergency management and urban planning use cases?▼

Yes, this disaster risk assessment skill supports emergency management and urban planning use cases. It identifies high-risk areas using spatial data analysis and provides mitigation measures for disaster risk reduction.

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