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

DESIS ISS MUSES earth observation hyperspectral remote sensing imaging spectrometry

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Oct 2019
Historique:
received: 23 09 2019
revised: 09 10 2019
accepted: 09 10 2019
entrez: 18 10 2019
pubmed: 18 10 2019
medline: 18 10 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31618940
pii: s19204471
doi: 10.3390/s19204471
pmc: PMC6848940
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Kevin Alonso (K)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Kevin.AlonsoGonzalez@dlr.de.

Martin Bachmann (M)

German Remote Sensing Data Center, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Martin.Bachmann@dlr.de.

Kara Burch (K)

Innovative Imaging and Research, Corp. (I2R), Building 1103, Suite 140C, Stennis Space Center, Hancock County, MS 39529, USA. kburch@i2rcorp.com.

Emiliano Carmona (E)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Emiliano.Carmona@dlr.de.

Daniele Cerra (D)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Daniele.Cerra@dlr.de.

Raquel de Los Reyes (R)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Raquel.delosReyes@dlr.de.

Daniele Dietrich (D)

German Remote Sensing Data Center, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Daniele.Dietrich@dlr.de.

Uta Heiden (U)

German Remote Sensing Data Center, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Uta.Heiden@dlr.de.

Andreas Hölderlin (A)

Technology Marketing, DLR, Linder Höhe, 51147 Köln, Germany. Andreas.Hoelderlin@dlr.de.

Jack Ickes (J)

Teledyne Brown Engineering (TBE), 300 Sparkman Drive, Huntsville, AL 35805, USA. jack.ickes@Teledyne.com.

Uwe Knodt (U)

Strategic services, DLR, Linder Höhe, 51147 Köln, Germany. Uwe.Knodt@dlr.de.

David Krutz (D)

Institute of Optical Sensor Systems, DLR, Rutherfordstraße 2, 12489 Berlin, Germany. David.Krutz@dlr.de.

Heath Lester (H)

Teledyne Brown Engineering (TBE), 300 Sparkman Drive, Huntsville, AL 35805, USA. Heath.Lester@Teledyne.com.

Rupert Müller (R)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. rupert.mueller@dlr.de.

Mary Pagnutti (M)

Innovative Imaging and Research, Corp. (I2R), Building 1103, Suite 140C, Stennis Space Center, Hancock County, MS 39529, USA. mpagnutti@i2rcorp.com.

Peter Reinartz (P)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Peter.Reinartz@dlr.de.

Rudolf Richter (R)

Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Rudolf.Richter@dlr.de.

Robert Ryan (R)

Innovative Imaging and Research, Corp. (I2R), Building 1103, Suite 140C, Stennis Space Center, Hancock County, MS 39529, USA. rryan@i2rcorp.com.

Ilse Sebastian (I)

Institute of Optical Sensor Systems, DLR, Rutherfordstraße 2, 12489 Berlin, Germany. Ilse.Sebastian@dlr.de.

Mirco Tegler (M)

German Remote Sensing Data Center, DLR, Oberpfaffenhofen, 82234 Weßling, Germany. Mirco.Tegler@dlr.de.

Classifications MeSH