A python Tkinter widget to display tile based maps like OpenStreetMap or Google Satellite Images.

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)

A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.

Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm

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.

MSc thesis - University of Twente.

Road Segmentation from Satelite images using custom Unet model

Using python3 beautifulsoup, download satelite-images.

Landcover classification of satelite images

Python library/CLI client for sat4envi data

This Project is Semantic Segmentation of High-Resolution Multi-Spectral Optical Satellite Images: A Deep Learning-based Approach for Monitoring Deforestation

This repository consolidate various analysis on EarthDaily Agro services and conference contributions.

Exploring some LANDSAT 8, LANDSAT 9, SENTINEL 2 satellites data with Google Earth Engine

Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.

Python library/CLI client for sat4envi data

Based on infrared satellite images, the existence of a methane plume was predicted. Transfer Learning for PyTorch Classification CNNs was combined with traditional methods on tabular data. This is a fork of a group project of my DSB Master's Degree at HEC Paris in cooperation with McKinsey QuantumBlack. (mckinsey.com/capabilities/quantumblack/)

Analysis of Satelite imaging.