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Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)

Alonso, Kevin and Bachmann, Martin and Burch, Kara and Carmona, Emiliano and Cerra, Daniele and de los Reyes, Raquel and Dietrich, Daniele and Heiden, Uta and Hölderlin, Andreas and Ickes, Jack and Knodt, Uwe and Krutz, David and Lester, Heath and Müller, Rupert and Pagnutti, Mary and Reinartz, Peter and Richter, Rudolf and Ryan, Robert and Sebastian, Ilse and Tegler, M. (2019) Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS). Sensors, 19 (20), pp. 4471-4515. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s19204471. ISSN 1424-8220.

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Official URL: https://www.mdpi.com/1424-8220/19/20/4471#metrics

Abstract

Imaging spectrometry from aerial or spaceborne platforms, also known as hyperspectral remote sensing, provides dense sampled and fine structured spectral information for each image pixel, allowing the user to identify and characterize Earth surface materials such as minerals in rocks and soils, vegetation types and stress indicators, and water constituents. The recently launched DLR Earth Sensing Imaging Spectrometer (DESIS) installed on the International Space Station (ISS) closes the long-term gap of sparsely available spaceborne imaging spectrometry data and will be part of the upcoming fleet of such new instruments in orbit. DESIS measures in the spectral range from 400 and 1000 nm with a spectral sampling distance of 2.55 nm and a Full Width Half Maximum (FWHM) of about 3.5 nm. The ground sample distance is 30 m with 1024 pixels across track. In~this article, a~detailed review is given on the applicability of DESIS data based on the specifics of the instrument, the characteristics of the ISS orbit, and the methods applied to generate products. The~various DESIS data products available for users are described with the focus on specific processing steps. The results of the data quality and product validation studies show that top-of-atmosphere radiance, geometrically corrected, and bottom-of-atmosphere reflectance products meet the mission requirements. The limitations of the DESIS data products are also subject to a critical~examination.

Item URL in elib:https://elib.dlr.de/129609/
Document Type:Article
Title:Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Alonso, KevinUNSPECIFIEDhttps://orcid.org/0000-0003-2469-8290
Bachmann, MartinUNSPECIFIEDhttps://orcid.org/0000-0001-8381-7662
Burch, KaraI2RUNSPECIFIED
Carmona, EmilianoUNSPECIFIEDUNSPECIFIED
Cerra, DanieleUNSPECIFIEDhttps://orcid.org/0000-0003-2984-8315
de los Reyes, RaquelUNSPECIFIEDhttps://orcid.org/0000-0003-0485-9552
Dietrich, DanieleUNSPECIFIEDhttps://orcid.org/0000-0002-2682-6172
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912
Hölderlin, AndreasUNSPECIFIEDUNSPECIFIED
Ickes, JackTeledyne Brown EngineeringUNSPECIFIED
Knodt, UweUNSPECIFIEDUNSPECIFIED
Krutz, DavidUNSPECIFIEDUNSPECIFIED
Lester, HeathTeledyne Brown EngineeringUNSPECIFIED
Müller, RupertUNSPECIFIEDhttps://orcid.org/0000-0002-3288-5814
Pagnutti, MaryI2RUNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475
Richter, RudolfUNSPECIFIEDhttps://orcid.org/0000-0002-8499-4780
Ryan, RobertI2RUNSPECIFIED
Sebastian, IlseUNSPECIFIEDUNSPECIFIED
Tegler, M.UNSPECIFIEDUNSPECIFIED
Date:15 October 2019
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:19
DOI:10.3390/s19204471
Page Range:pp. 4471-4515
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:MDPI
ISSN:1424-8220
Status:Published
Keywords:hyperspectral remote sensing; imaging spectrometry; earth observation; DESIS; MUSES; ISS
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 - Project DESIS on MUSES
Location: Berlin-Adlershof , Köln-Porz , Neustrelitz , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Land Surface Dynamics
Institute of Optical Sensor Systems > High-Speed Electronics
Institute of Optical Sensor Systems > Space Instruments
Division of the Chair of the Executive Board
Deposited By: Müller, Rupert
Deposited On:17 Oct 2019 10:22
Last Modified:23 Jul 2022 13:45

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