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

Polymer atmospheric correction

Atmospheric correction processor for high spatial resolution multispectral satellite images

From Sentinel 2 TOA reflectance to LAI

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

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

Getting started with Landsat 8 dataset using rasterio

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

Minimal Atmospheric Compensation for Hyperspectral Imagers.

Image processing for image sums of astronomical videos using speckle masking processing

This repository provides a Python implementation of the c-factor BRDF logic in Google Earth Engine.

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