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

This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images

Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.

Web App for automated change detection in multi temporal satellite images for natural hazard classification.

Climate Disaster Warning System is a deep learning-based project for detecting wildfires, floods, and sea-level rise using satellite and ground data. It leverages ResNet, Vision Transformer (ViT), and GRACE datasets to support early warning systems and climate research.

Codebase for MS thesis @ Colorado State University. Processing pipeline and analysis code for measuring flood disaster impacts using MODIS satellite imagery, climate data, and EM-DAT disaster records.

Generates a merged raster mosaic for the entire AMD0 boundary, overcoming DEA sandbox disk and memory limitations.

AquaGuard is a native iOS application designed to protect communities during flood disasters. It provides real-time alerts, safety guides, and a crowdsourced reporting system to coordinate rescue efforts effectively.

2024 IEEE GRSS Data Fusion Contest Track 1

Real-time defensive network tool with integrated packet scanner and GUI for detecting flood attacks, ARP spoofing, and DHCP floods, featuring multi-platform firewall support.

Geospatial event intelligence platform — converts natural language event descriptions into satellite-derived flood, wildfire, and storm analysis products. Intent resolution, multi-sensor fusion, distributed processing (Pi to Spark), and automated report generation.

Flood detector using effientnet as semantic segmentation model

Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome

Flood Detection using U-Net with Attention Mechanism

Flood Detection using U-Net with Attention Mechanism

This repository contains models trained for various purposes during my summer internship at Optical Networks and Technologies Lab.

Flood Vision - A deep learning–based computer vision system for flood mapping and damage assessment using aerial imagery.