A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population

This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

This repository includes an automatic statistical-based flood mapping approach for ALOS2 Level 2.1 data. Additionally, this method of flood extraction utilizes Google Earth Engine's open data and processing capabilities.

This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.

Analyzing NYC's Stormwater Flood Map - Extreme Flood Scenario

A Collection of Flood Hazard Layers for New York City.

In this repository, I share a class project in which I explored the Google Earth engine sentinel 1 SAR dataset potential to be used for flood mapping of the 2019 Gorgan flood.

A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)

Submission for Kenguruji team for Arnes Hackathon 2024

Intelligent Data Solution - Disaster Risk Reduction is a system to assist flood management in the state of Assam through data-driven ways. The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores for each revenue circle in Assam.

Seamless Flood Mapping Using Harmonized Landsat and Sentinel-2 Data