There are 2 repositories under satelite-images topic.
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
IMAGE CLASSIFICATION w/ hybrid classification algorithms
Using python3 beautifulsoup, download satelite-images.
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
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
Landcover classification of satelite images
This Project is Semantic Segmentation of High-Resolution Multi-Spectral Optical Satellite Images: A Deep Learning-based Approach for Monitoring Deforestation
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/)
Python library/CLI client for sat4envi data
Analysis of Satelite imaging.