PACO: Python-Based Atmospheric Correction

PACO: Python-Based Atmospheric Correction

The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric correction software, capable of processing data acqui...

Full description

Bibliographic Details
Main Authors: Raquel de los Reyes, Maximilian Langheinrich, Peter Schwind, Rudolf Richter, Bringfried Pflug, Martin Bachmann, Rupert Müller, Emiliano Carmona, Viktoria Zekoll, Peter Reinartz
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
atmospheric correction
remote sensing
sentinel-2
landsat-8
desis
aerosol optical thickness
water vapor
surface reflectance
Online Access:https://www.mdpi.com/1424-8220/20/5/1428
id doaj-2e81933125244f0f82269a78becd9aee
record_format Article
spelling doaj-2e81933125244f0f82269a78becd9aee2020-11-25T01:40:48ZengMDPI AGSensors1424-82202020-03-01205142810.3390/s20051428s20051428PACO: Python-Based Atmospheric CorrectionRaquel de los Reyes0Maximilian Langheinrich1Peter Schwind2Rudolf Richter3Bringfried Pflug4Martin Bachmann5Rupert Müller6Emiliano Carmona7Viktoria Zekoll8Peter Reinartz9German Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, 12489 Berlin, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Data Center, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyGerman Aerospace Center (DLR), Earth Observation Center, Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen, 82234 Wessling, GermanyThe atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric correction software, capable of processing data acquired by many different optical satellite sensors. Based on this well established algorithm, a new Python-based atmospheric correction software has been developed to generate L2A products of Sentinel-2, Landsat-8, and of new space-based hyperspectral sensors such as DESIS (DLR Earth Sensing Imaging Spectrometer) and EnMAP (Environmental Mapping and Analysis Program). This paper outlines the underlying algorithms of PACO, and presents the validation results by comparing L2A products generated from Sentinel-2 L1C images with in situ (AERONET and RadCalNet) data within VNIR-SWIR spectral wavelengths range.https://www.mdpi.com/1424-8220/20/5/1428atmospheric correctionremote sensingsentinel-2landsat-8desisaerosol optical thicknesswater vaporsurface reflectance
collection DOAJ
language English
format Article
sources DOAJ
author Raquel de los Reyes
Maximilian Langheinrich
Peter Schwind
Rudolf Richter
Bringfried Pflug
Martin Bachmann
Rupert Müller
Emiliano Carmona
Viktoria Zekoll
Peter Reinartz
spellingShingle Raquel de los Reyes
Maximilian Langheinrich
Peter Schwind
Rudolf Richter
Bringfried Pflug
Martin Bachmann
Rupert Müller
Emiliano Carmona
Viktoria Zekoll
Peter Reinartz
PACO: Python-Based Atmospheric Correction
Sensors
atmospheric correction
remote sensing
sentinel-2
landsat-8
desis
aerosol optical thickness
water vapor
surface reflectance
author_facet Raquel de los Reyes
Maximilian Langheinrich
Peter Schwind
Rudolf Richter
Bringfried Pflug
Martin Bachmann
Rupert Müller
Emiliano Carmona
Viktoria Zekoll
Peter Reinartz
author_sort Raquel de los Reyes
title PACO: Python-Based Atmospheric Correction
title_short PACO: Python-Based Atmospheric Correction
title_full PACO: Python-Based Atmospheric Correction
title_fullStr PACO: Python-Based Atmospheric Correction
title_full_unstemmed PACO: Python-Based Atmospheric Correction
title_sort paco: python-based atmospheric correction
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-03-01
description The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric correction software, capable of processing data acquired by many different optical satellite sensors. Based on this well established algorithm, a new Python-based atmospheric correction software has been developed to generate L2A products of Sentinel-2, Landsat-8, and of new space-based hyperspectral sensors such as DESIS (DLR Earth Sensing Imaging Spectrometer) and EnMAP (Environmental Mapping and Analysis Program). This paper outlines the underlying algorithms of PACO, and presents the validation results by comparing L2A products generated from Sentinel-2 L1C images with in situ (AERONET and RadCalNet) data within VNIR-SWIR spectral wavelengths range.
topic atmospheric correction
remote sensing
sentinel-2
landsat-8
desis
aerosol optical thickness
water vapor
surface reflectance
url https://www.mdpi.com/1424-8220/20/5/1428
work_keys_str_mv AT raqueldelosreyes pacopythonbasedatmosphericcorrection
AT maximilianlangheinrich pacopythonbasedatmosphericcorrection
AT peterschwind pacopythonbasedatmosphericcorrection
AT rudolfrichter pacopythonbasedatmosphericcorrection
AT bringfriedpflug pacopythonbasedatmosphericcorrection
AT martinbachmann pacopythonbasedatmosphericcorrection
AT rupertmuller pacopythonbasedatmosphericcorrection
AT emilianocarmona pacopythonbasedatmosphericcorrection
AT viktoriazekoll pacopythonbasedatmosphericcorrection
AT peterreinartz pacopythonbasedatmosphericcorrection
_version_ 1725043526027182080

Similar Items