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.

BILAHUJAN — AI-powered flood detection | V Hack 2026 @ USM

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.

Advanced Telegram news submission bot with SecurityManager, flood detection, content filtering, photo support, scheduled publishing, and inline moderation. Freelance order, commercial work

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.

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.

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.

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

2024 IEEE GRSS Data Fusion Contest Track 1

Flood detector using effientnet as semantic segmentation model

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.

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

Open humanitarian flood-resilience stack for smart drains, outfall/channel monitoring, local telemetry, and maintenance-aware flood operations. Philippines-first, globally reusable, built for practical pilots—not hype or impossible weather control.

Flood Detection using U-Net with Attention Mechanism