Mali Drought Monitoring Dashboard

Project Overview

This project develops an interactive drought monitoring dashboard for Mali using rainfall and vegetation data.

The dashboard integrates climate indicators, drought indices, and GIS visualization to support drought monitoring and decision-making.

Objectives

• Monitor drought conditions in Mali.
• Analyze rainfall variability.
• Compute drought indicators.
• Visualize drought trends interactively.

Datasets

• CHIRPS Rainfall Dataset
• NDVI Dataset
• Mali Administrative Boundaries

Drought Indicators

• Standardized Precipitation Index (SPI)
• Vegetation Condition Index (VCI)
• Rainfall Anomalies
• NDVI Anomalies

Tools and Technologies

• Python
• Pandas
• GeoPandas
• Streamlit
• Plotly
• Folium
• GitHub

Features

• Interactive drought dashboard
• Rainfall trend visualization
• SPI monitoring
• Drought category analysis
• GIS-based visualization

Project Structure

app.py
requirements.txt
data/
spatial/
notebooks/

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Future Improvements
Regional drought maps
Real-time data updates
Additional drought indicators
Forecasting models
Author

Adama D. SAVANE