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Analysis-Ready Data from Hyperspectral Sensors - The Design of the EnMAP CARD4L-SR Data Product

Bachmann, Martin and Alonso, Kevin and Carmona, Emiliano and Gerasch, Birgit and Habermeyer, Martin and Holzwarth, Stefanie and Krawczyk, Harald and Langheinrich, Maximilian and Marshall, David and Pato, Miguel and Pinnel, Nicole and de los Reyes, Raquel and Schneider, Mathias and Schwind, Peter and Storch, Tobias (2021) Analysis-Ready Data from Hyperspectral Sensors - The Design of the EnMAP CARD4L-SR Data Product. Remote Sensing, 13 (4536), pp. 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs13224536. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/13/22/4536

Abstract

Today, the ground segments of the Landsat and Sentinel missions provide a wealth of well-calibrated, characterized datasets which are already orthorectified and corrected for atmospheric effects. Initiatives such as the CEOS Analysis Ready Data (ARD) propose and ensure guidelines and requirements so that such datasets can readily be used, and interoperability within and between missions is a given. With the increasing availability of data from operational and research-oriented spaceborne hyperspectral sensors such as EnMAP, DESIS and PRISMA, and in preparation for the upcoming global mapping missions CHIME and SBG, the provision of analysis ready hyperspectral data will also be of increasing interest. Within this article, the design of the EnMAP Level 2A Land product is illustrated, highlighting the necessary processing steps for CEOS Analysis Ready Data for Land (CARD4L) compliant data products. This includes an overview of the design of the metadata, quality layers and archiving workflows, the necessary processing chain (system correction, orthorectification and atmospheric correction), as well as the resulting challenges of this procedure. Thanks to this operational approach, the end user will be provided with ARD products including rich metadata and quality information, which can readily be integrated in analysis workflows, and combined with data from other sensors.

Item URL in elib:https://elib.dlr.de/145544/
Document Type:Article
Title:Analysis-Ready Data from Hyperspectral Sensors - The Design of the EnMAP CARD4L-SR Data Product
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bachmann, MartinMartin.Bachmann (at) dlr.dehttps://orcid.org/0000-0001-8381-7662
Alonso, KevinKevin.AlonsoGonzalez (at) dlr.dehttps://orcid.org/0000-0003-2469-8290
Carmona, EmilianoEmiliano.Carmona (at) dlr.deUNSPECIFIED
Gerasch, BirgitBirgit.Gerasch (at) dlr.deUNSPECIFIED
Habermeyer, Martinmartin.habermeyer (at) dlr.deUNSPECIFIED
Holzwarth, StefanieStefanie.Holzwarth (at) dlr.dehttps://orcid.org/0000-0001-7364-7006
Krawczyk, HaraldHarald.Krawczyk (at) dlr.deUNSPECIFIED
Langheinrich, MaximilianMaximilian.Langheinrich (at) dlr.deUNSPECIFIED
Marshall, DavidDavid.Marshall (at) dlr.dehttps://orcid.org/0000-0002-4765-8198
Pato, MiguelMiguel.FigueiredoVazPato (at) dlr.deUNSPECIFIED
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204
de los Reyes, RaquelRaquel.delosReyes (at) dlr.dehttps://orcid.org/0000-0003-0485-9552
Schneider, MathiasMathias.Schneider (at) dlr.dehttps://orcid.org/0000-0001-6698-3781
Schwind, PeterPeter.Schwind (at) dlr.deUNSPECIFIED
Storch, TobiasTobias.Storch (at) dlr.dehttps://orcid.org/0000-0001-8853-8996
Date:11 November 2021
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.3390/rs13224536
Page Range:pp. 1-19
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:EnMAP; imaging spectrometer; hyperspectral; metadata; analysis ready data; ARD; CEOS CARD4L; surface reflectance
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Optical remote sensing
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > International Ground Segment
Deposited By: Bachmann, Dr.rer.nat. Martin
Deposited On:17 Nov 2021 13:45
Last Modified:22 Nov 2021 12:49

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