elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Hyperspectral EnMAP Data Processing for aquatic science and applications

Pinnel, Nicole und Langheinrich, Maximilian und Soppa, Mariana A. und Randrianalisoa, Avotramalala N. und Alvarado, Leonardo M. A. und Gege, Peter und de los Reyes, Raquel und Heege, Thomas und Bracher, Astrid und Pato, Miguel und Habermeyer, Martin und Carmona, Emiliano (2024) Hyperspectral EnMAP Data Processing for aquatic science and applications. 13th EARSeL Workshop on Imaging Spectroscopy, 2024-04-16 - 2024-04-18, Valencia, Spain.

[img] PDF
4MB

Offizielle URL: https://is.earsel.org/workshop/13-IS-Valencia2024/wp-content/uploads/2024/04/BookOfAbstracts.pdf

Kurzfassung

Challenge EnMAP, the Environmental Mapping Analysis Program, is a German satellite mission that was successfully launched in April 2022. EnMAP is an optical (VNIR/SWIR) remote sensing mission with high spatial (30 m GSD) and spectral (FWHM ~6-12 nm) resolution. Although primarily designed for terrestrial applications, EnMAP exhibits substantial potential for aquatic studies due to its hyperspectral capabilities. In comparison to other sensors, EnMAP ground segment processing is pioneering by providing separate processing chains for land and water, allowing for specialized data processing for each application. It also includes a sunglint avoidance algorithm using EnMAP’s tilting capability for mitigating the impact of sunglint-contaminated pixels in specific geographical constellations. This research focuses on how EnMAP can be used for studying aquatic ecosystems, with emphasis on EnMAP water processing and applications in aquatic research. Methodology The EnMAP satellite is equipped with a VNIR-SWIR push-broom hyperspectral imager that covers a spectral range from 420 to 2450 nm and comprises 224 contiguous spectral bands. EnMAP follows a sun-synchronous orbit with a standard revisit period of 27 days, which can be reduced to less than four days through its off-nadir pointing capabilities. The EnMAP ground segment, managed by the German Aerospace Center (DLR), oversees the satellite control, data reception, storage, and processing. Users have access to three different product levels: L1B, L1C, and L2A. What stand out is its separate processing chains for land and water pixels within the L2A processing. Besides the standard processing using land atmospheric correction algorithms (PACO), the aquatic processing is done using the Modular Inversion and Processing System (MIP) developed by EOMAP GmbH, offering two types of water reflectance data: subsurface irradiance reflectance and normalized water leaving reflectance. To enhance the acquisition of glint-free data, a sunglint mitigation strategy has been implemented by selecting optimal image acquisition geometries on user requests. All EnMAP products are processed on-demand using the most up-to-date processor versions and undergo rigorous radiometric and spectral calibration. The ground segment conducts regular assessments of EnMAP products to ensure mission requirements, whereby these products are additionally subject to independent validation by the science team. Expected results EnMAP's specific water-related data products play a significant role in advancing aquatic research, offering a substantial advantage, especially for researchers who were previously dependent on terrestrial sensors that required custom atmospheric corrections and thus when working in aquatic environments limiting their ability to fully exploit the potential of the data. EnMAP's global coverage, which extends to high latitudes (+/- 74°) and incorporates off-nadir capabilities, also facilitates observations in remote and challenging areas, including polar regions. The hyperspectral data is particularly advantageous for coastal and inland waters, allowing detailed examination of optical components within the water column and on the seafloor. The advanced spectral resolution in the visible, near-infrared, and shortwave-infrared enables the improved assessment of e.g. phytoplankton functional types and dissolved organic carbon levels. In optical shallow and clear waters, it further allows improved monitoring and differentiating of benthic substrate types and derive bathymetry. The detailed quantification of these constituents can contribute significantly to our understanding of various processes such as carbon cycling, nutrient availability, and preservation of threatened ecosystems like coral reefs, seagrass meadows, and mangrove forests. This paper will discuss in detail the advantages of the EnMAP processing chain and will present various applications that make use of EnMAP's hyperspectral water reflectance data. Outlook for the future Delivering accurate water reflectance data is crucial for improving our knowledge of coastal and inland water environments. Achieving such accuracy is a complex task because of the difficulties related to correcting for atmospheric effects, the complex properties of water and aerosols, and the added complications when dealing with areas close to land, ice, or human-made structures. Optimized processing can help obtaining valuable data over aquatic ecosystems to make terrestrial Earth observing sensors significantly more useful for aquatic ecosystem monitoring. EnMAP provides a unique opportunity to gain a deeper understanding of aquatic ecosystems and the influence of human activities on aquatic environments, and thus be a pathfinder for future operational hyperspectral missions.

elib-URL des Eintrags:https://elib.dlr.de/206662/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Hyperspectral EnMAP Data Processing for aquatic science and applications
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204171424891
Langheinrich, Maximilianmaximilian.langheinrich (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Soppa, Mariana A.Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Randrianalisoa, Avotramalala N.Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Alvarado, Leonardo M. A.leonardo.alvarado (at) dlr.dehttps://orcid.org/0000-0002-4802-3872171424892
Gege, Peterpeter.gege (at) dlr.dehttps://orcid.org/0000-0003-0939-5267NICHT SPEZIFIZIERT
de los Reyes, RaquelRaquel.delosReyes (at) dlr.dehttps://orcid.org/0000-0003-0485-9552171424894
Heege, ThomasEOMAP GmbH & Co. KG, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bracher, AstridPhytooptics Group, Physical Oceanography of Polar Seas, Climate Sciences, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Pato, MiguelMiguel.FigueiredoVazPato (at) dlr.dehttps://orcid.org/0000-0003-0111-0861NICHT SPEZIFIZIERT
Habermeyer, Martinmartin.habermeyer (at) dlr.dehttps://orcid.org/0009-0002-6364-2484NICHT SPEZIFIZIERT
Carmona, EmilianoEmiliano.Carmona (at) dlr.dehttps://orcid.org/0009-0008-8998-7310NICHT SPEZIFIZIERT
Datum:17 April 2024
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 1-2
Status:veröffentlicht
Stichwörter:Earth Observation, Hyperspectral, Spaceborne Mission, EnMAP, Aquatic Ecosystems
Veranstaltungstitel:13th EARSeL Workshop on Imaging Spectroscopy
Veranstaltungsort:Valencia, Spain
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:16 April 2024
Veranstaltungsende:18 April 2024
Veranstalter :EARSeL SIG-IS
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung, R - Optische Fernerkundung, R - Projekt EnMAP Phase E
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Internationales Bodensegment
Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Institut für Methodik der Fernerkundung > Experimentelle Verfahren
Hinterlegt von: Pinnel, Dr.rer.nat Nicole
Hinterlegt am:11 Nov 2024 13:55
Letzte Änderung:11 Nov 2024 13:55

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.