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.
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Updated
Dec 8, 2021 - C++
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.
To download products provided by Theia land data center : https://theia.cnes.fr
A sensor invariant Atmospheric Correction (SIAC)
Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
Sentinel 2 and Landsat 8 Atmospheric correction
From Sentinel 2 TOA reflectance to LAI
This is a python package to preprocess sentinel-1&2 imagery
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/
Getting started with Landsat 8 dataset using rasterio
Atmospheric correction processor for high spatial resolution multispectral satellite images
This package was designed to obtain desmiled, destriped and georeferenced reflectance images from Hyperion imagery.
Código para el procesamiento de imágenes de satélite.
SIAC GEE version
A python module for computing the lateral shift due to atmospheric refraction
A mirror of my fork of main MAJA repository on gitlab.orfeo-toolbox.org/maja/
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