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.

2024 IEEE GRSS Data Fusion Contest Track 1

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

Flood detector using effientnet as semantic segmentation model

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

This Shell module allows to filter the sending email of snmp traps to avoid flooding. It works with snmptt among others.

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

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

This the hardware project made by me and my group members as our semester project.