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Flood Detection with Sentinel-1 Radar Images

Overview

This project aims to detect flooded areas using Sentinel-1 radar images before and after a flood event. It utilizes the Google Earth Engine platform and Python API for image processing and analysis.

Features

  • Preprocessing of Sentinel-1 radar images
  • Filtering and analysis of radar images to identify flooded areas
  • Visualization of flood-affected regions on interactive maps
  • Implementation of UN-SPIDER recommended flood detection methodologies

Requirements

  • Python 3.x
  • Google Earth Engine Python API
  • Google Colab

Usage

  1. Clone the repository: git clone https://github.com/your-username/flood-detection.git

  2. Open the project in Jupyter Notebook o Google Colab.

  3. Run the provided Python scripts or Jupyter Notebook cells to perform flood detection analysis.

Data Sources

  • Sentinel-1 SAR data from the European Space Agency (ESA)
  • Global Surface Water dataset from the Joint Research Centre (JRC)
  • Administrative boundaries from the Food and Agriculture Organization (FAO)

About

A model for mapping and predicting the possibilities of flood affecting areas using Google Earth Engine.

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  • Jupyter Notebook 90.2%
  • Python 9.8%