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

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...

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Published inRemote sensing (Basel, Switzerland) Vol. 13; no. 22; p. 4536
Main Authors Bachmann, Martin, Alonso, Kevin, Carmona, Emiliano, Gerasch, Birgit, Habermeyer, Martin, Holzwarth, Stefanie, Krawczyk, Harald, Langheinrich, Maximilian, Marshall, David, Pato, Miguel, Pinnel, Nicole, de losReyes, Raquel, Schneider, Mathias, Schwind, Peter, Storch, Tobias
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2021
Subjects
Accuracy
analysis ready data
ARD
Atmospheric correction
Atmospheric effects
Calibration
Data analysis
Datasets
Design
EnMAP
hyperspectral
imaging spectrometer
Initiatives
Interoperability
Landsat
Landsat satellites
Metadata
Missions
Quality standards
Remote sensing
Self evaluation
Sensors
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs13224536