AI-DisasterSatelliteRiskFloodPrediction/AI-Disaster-Dashboard
Domaine:
climategeospatialType de record:
project
Créateur:
AI-
Hôte:
AI-powered satellite image analysis platform for disaster risk reduction, flood monitoring and climate resilience in Africa.
# 🌍 AI-Disaster-Dashboard
## AI-Driven Satellite Image Analysis for Disaster Risk Reduction and Climate Resilience in Africa
AI • Earth Observation • Remote Sensing • Disaster Risk Reduction • Climate Resilience
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## 📌 Project Overview
**AI-Disaster-Dashboard** is an Artificial Intelligence and Earth Observation research and technology prototype developed to support **disaster risk reduction, flood monitoring, climate resilience, and geospatial decision support**.
The project integrates:
* 🛰️ Satellite Earth Observation
* 🤖 Artificial Intelligence (AI)
* 🧠 Machine Learning (ML)
* 🌍 Geospatial analysis
* ☁️ Google Earth Engine
* 📊 Interactive data visualization
* 🚨 Flood-risk assessment and decision-support concepts
The project transforms satellite-derived information into interpretable disaster-risk information to support researchers, disaster-management stakeholders, and decision-makers.
The primary use case focuses on **flood monitoring and disaster-risk assessment in Rwanda**, with potential application to other climate-vulnerable regions across Africa.
> **Project status:** Research and technology prototype — 2026
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## 🎯 Research Objective
### General Objective
To develop an **AI-driven satellite image analysis framework** that supports national disaster risk reduction through improved flood detection, risk assessment, geospatial visualization, and decision support.
### Specific Objectives
1. To process satellite Earth Observation data for flood monitoring.
2. To investigate Sentinel-1 and Sentinel-2 satellite imagery for flood-related analysis.
3. To develop AI/ML-based approaches for identifying potential flood-risk areas.
4. To classify flood risk into interpretable categories.
5. To develop an interactive dashboard for communicating disaster-risk information.
6. To establish a reproducible workflow for satellite-based disaster monitoring.
7. To explore the potential of AI and Earth Observation technologies for strengthening climate …