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🐳 EuroSAT🐊 Satellite 🐲 Image 🪲 Land 🎳 Use 🌳 Classification 🐸 is a 🪆 computer 🐧vision 🦫 that 🦧 leverages 🦊 Deep 🐯 Learning 🍊and CNN 🥯 architectures 🍏 to classify 🥭 satellite 🍔 images 🧅into ✈ different 🚞 land use 🚒 land cover 🕌 categories 🚁 Built 🎮 on the 🛼 EuroSAT 🛬 dataset ⚾ this 🛸showcases ⚽ environmental 🏀monitoring 🏈
Script de monitoramento de telemetria para missões espaciais, cansat e foguetemodelismo.
Precision astrometry & satellite mechanics in safe, fast Rust.
Python script downloading NO2 pollution datas from the European satellite Sentinel5 and aggregating by country, regions, states, cities. This work is carried out within the framework of the juanporrasl/AMSECovid19 project.
Guia para el acceder a OTHERNET e instalar un punto de acceso wifi local para disponer de un repositorio de datos metereológicos, noticias, Wikipedia, mensajes y archivos procedentes de un enlace de datos con un satélite geoestacionario.
2017 NASA Space Apps Challenge Submission from team Hackbama Project Firewatch.
This is a school mapping project in Zambia, using Geo data, Satellite imagery and deep learning neural networks.
AI powered disaster response and property management platform.
A web-based satellite tracking dashboard built with Three.js for stunning 3D visualizations in the frontend and Golang for a robust, high-performance backend. This project aims to provide real-time monitoring and interactive exploration of satellite movements in an intuitive and visually engaging way.
This project involves the analysis of graphs modeling a swarm of nanosatellites orbiting the Moon. The nanosatellites exchange data via opportunistic routing, with scalable communication ranges (20 km, 40 km, 60 km). The project aims to model the swarm in graph form and analyze its characteristics in different configurations.
Python library/CLI client for sat4envi data
"Speaker.GL for GLobal" is a project designed to Manage GLobal TV Systems. This application using AI based system and checking errorrs in station , and speaking about the errorrs.
AWS Lambda with CI/CD template using github actions
It is tensorflow 2.0 implementation on Eurosat Dataset. IT classfies different types of satelite images. Used transfer learning in end to reduce overfitting and increase accuracy.
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