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Data Validation of the DLR Earth Sensing Imaging Spectrometer DESIS

Heiden, Uta and Alonso, Kevin and Bachmann, Martin and Burch, Kara and Carmona, Emiliano and Cerra, Daniele and de los Reyes, Raquel and Dietrich, Daniele and Knodt, Uwe and Krutz, David and Müller, Rupert and Pagnutti, Mary and Richter, Rudolf and Ryan, Robert and Sebastian, Ilse and Tegler, M. (2020) Data Validation of the DLR Earth Sensing Imaging Spectrometer DESIS. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IGARSS 2020, 26. Sept. - 02. Oct. 2020, virtual. doi: 10.1109/igarss39084.2020.9323367. ISBN 978-172816374-1. ISSN 2153-6996.

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Abstract

Imaging spectrometry provides densely sampled and finely structured spectral information for each image pixel over large areas, enabling the characterization of materials on the Earth's surface by measuring and analyzing quantitative parameters 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 various DESIS data products available for users are described with the focus on specific processing steps. A summary of the data quality results are given. The product validation studies show that top-of-atmosphere radiance, geometrically corrected, and bottom-of-atmosphere reflectance products meet the mission requirements.

Item URL in elib:https://elib.dlr.de/137304/
Document Type:Conference or Workshop Item (Speech)
Title:Data Validation of the DLR Earth Sensing Imaging Spectrometer DESIS
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912UNSPECIFIED
Alonso, KevinUNSPECIFIEDhttps://orcid.org/0000-0003-2469-8290UNSPECIFIED
Bachmann, MartinUNSPECIFIEDhttps://orcid.org/0000-0001-8381-7662UNSPECIFIED
Burch, KaraI2RUNSPECIFIEDUNSPECIFIED
Carmona, EmilianoUNSPECIFIEDhttps://orcid.org/0009-0008-8998-7310UNSPECIFIED
Cerra, DanieleUNSPECIFIEDhttps://orcid.org/0000-0003-2984-8315UNSPECIFIED
de los Reyes, RaquelUNSPECIFIEDhttps://orcid.org/0000-0003-0485-9552UNSPECIFIED
Dietrich, DanieleUNSPECIFIEDhttps://orcid.org/0000-0002-2682-6172UNSPECIFIED
Knodt, UweUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Krutz, DavidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Müller, RupertUNSPECIFIEDhttps://orcid.org/0000-0002-3288-5814UNSPECIFIED
Pagnutti, MaryI2RUNSPECIFIEDUNSPECIFIED
Richter, RudolfUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ryan, RobertI2RUNSPECIFIEDUNSPECIFIED
Sebastian, IlseUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tegler, M.Deutsches FernerkundungsdatenzentrumUNSPECIFIEDUNSPECIFIED
Date:2020
Journal or Publication Title:2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/igarss39084.2020.9323367
Page Range:pp. 1-4
ISSN:2153-6996
ISBN:978-172816374-1
Status:Published
Keywords:hyperspectral remote sensing; imaging spectrometry; earth observation; DESIS; MUSES; ISS
Event Title:IGARSS 2020
Event Location:virtual
Event Type:international Conference
Event Dates:26. Sept. - 02. Oct. 2020
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 - Optical remote sensing
Location: Berlin-Adlershof , Köln-Porz , Neustrelitz , Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
German Remote Sensing Data Center > Information Technology
Institute of Optical Sensor Systems > Space Instruments
Institute of Optical Sensor Systems > High-Speed Electronics
German Remote Sensing Data Center > National Ground Segment
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Heiden, Dr.rer.nat. Uta
Deposited On:16 Nov 2020 10:35
Last Modified:10 Aug 2023 07:20

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