Techniques for deep learning with satellite & aerial imagery

Satellite imagery for dummies.

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

Datasets for deep learning with satellite & aerial imagery

Satellite tracker and pass predictor for Android, inspired by Gpredict

framework for large-scale SAR satellite data processing

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Generalized data analysis workflow via a consistent easy to use interface.

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.

A comprehensive list of NASA Earth science data products

Interactive tools for spectral mixture analysis of multispectral raster data in Python

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Multi-Class Semantic Segmentation on Dubai's Satellite Images.

A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission