Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.

A sensor invariant Atmospheric Correction (SIAC)

SIAC GEE version

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

To download products provided by Theia land data center : https://theia.cnes.fr

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

Sentinel 2 and Landsat 8 Atmospheric correction

From Sentinel 2 TOA reflectance to LAI

Polymer atmospheric correction

Atmospheric correction processor for high spatial resolution multispectral satellite images

A Docker image packaging Dr Pete Buntings Python Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software. Docker images at https://hub.docker.com/r/mundialis/arcsi/

This is a python package to preprocess sentinel-1&2 imagery

Getting started with Landsat 8 dataset using rasterio

A python module for computing the lateral shift due to atmospheric refraction

This package was designed to obtain desmiled, destriped and georeferenced reflectance images from Hyperion imagery.

A mirror of my fork of main MAJA repository on gitlab.orfeo-toolbox.org/maja/

Código para el procesamiento de imágenes de satélite.

SIAC GEE version