Satellite imagery for dummies.

framework for large-scale SAR satellite data processing

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

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

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.

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

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

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

UKIS Cloud Shadow MASK

PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

CCSDS Navigation Data Messages Read/Write Library

Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...

The ukis-pysat package provides generic classes and functions to query, access and process multi-spectral and SAR satellite images