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Open AccessArticle

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

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Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, 82234 Weßling, Germany
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German Remote Sensing Data Center, DLR, Oberpfaffenhofen, 82234 Weßling, Germany
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Innovative Imaging and Research, Corp. (I2R), Building 1103, Suite 140C, Stennis Space Center, Hancock County, MS 39529, USA
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Technology Marketing, DLR, Linder Höhe, 51147 Köln, Germany
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Teledyne Brown Engineering (TBE), 300 Sparkman Drive, Huntsville, AL 35805, USA
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Strategic services, DLR, Linder Höhe, 51147 Köln, Germany
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Institute of Optical Sensor Systems, DLR, Rutherfordstraße 2, 12489 Berlin, Germany
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Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4471; https://doi.org/10.3390/s19204471
Received: 23 September 2019 / Revised: 9 October 2019 / Accepted: 9 October 2019 / Published: 15 October 2019
(This article belongs to the Section Optical Sensors)
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. View Full-Text
Keywords: hyperspectral remote sensing; imaging spectrometry; earth observation; DESIS; MUSES; ISS hyperspectral remote sensing; imaging spectrometry; earth observation; DESIS; MUSES; ISS
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MDPI and ACS Style

Alonso, K.; Bachmann, M.; Burch, K.; Carmona, E.; Cerra, D.; de los Reyes, R.; Dietrich, D.; Heiden, U.; Hölderlin, A.; Ickes, J.; Knodt, U.; Krutz, D.; Lester, H.; Müller, R.; Pagnutti, M.; Reinartz, P.; Richter, R.; Ryan, R.; Sebastian, I.; Tegler, M. Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS). Sensors 2019, 19, 4471. https://doi.org/10.3390/s19204471

AMA Style

Alonso K, Bachmann M, Burch K, Carmona E, Cerra D, de los Reyes R, Dietrich D, Heiden U, Hölderlin A, Ickes J, Knodt U, Krutz D, Lester H, Müller R, Pagnutti M, Reinartz P, Richter R, Ryan R, Sebastian I, Tegler M. Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS). Sensors. 2019; 19(20):4471. https://doi.org/10.3390/s19204471

Chicago/Turabian Style

Alonso, Kevin; Bachmann, Martin; Burch, Kara; Carmona, Emiliano; Cerra, Daniele; de los Reyes, Raquel; Dietrich, Daniele; Heiden, Uta; Hölderlin, Andreas; Ickes, Jack; Knodt, Uwe; Krutz, David; Lester, Heath; Müller, Rupert; Pagnutti, Mary; Reinartz, Peter; Richter, Rudolf; Ryan, Robert; Sebastian, Ilse; Tegler, Mirco. 2019. "Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)" Sensors 19, no. 20: 4471. https://doi.org/10.3390/s19204471

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