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On the Information Content of Hyperspectral Infrared Observations with Respect to Mineral Dust

Klüser, Lars (2016) On the Information Content of Hyperspectral Infrared Observations with Respect to Mineral Dust. In: Hyperspectral Imaging and Sounding of the Environment, HISE 2016, Seiten 1-3. OSA Light, Energy and the Environment Congress: Hyperspectral Imaging and Sounding of the Environment (HISE), 2016-11-13 - 2016-11-17, Leipzig, Deutschland. doi: 10.1364/HISE.2016.HW5D.1.

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Kurzfassung

Desert dust is characterized by strong silicate absorption bands located within the atmospheric window region in the terrestrial infrared (TIR) between 8 µm and 12 µm. These absorption bands and the corresponding optical properties (extinction efficiency, single scattering albedo, scattering phase function) have very specific spectral shapes for different silicate minerals, modulated by the particle size and shape. The asphericity of desert dust particles strongly affects the absorption band characteristics, for example due to surface wave modes for small particles. The use of the correct particle shape model significantly increases the spectral correlation between simulated dust optical properties for typical minerals and corresponding laboratory measurements for single minerals as well as for bulk dust from desert samples. The presence of absorption peaks and the spectral shape of the extinction signal carry dust information, which can be exploited for remote sensing purposes. With hyperspectral infrared methods it is thus possible to infer information beyond dust optical depth, that is to acquire information about dust particle size, composition and also vertical information. Examples of such information are shown for the Infrared Mineral Aerosol Retrieval Scheme (IMARS) which has been developed for the Infrared Atmospheric Sounding Interferometer (IASI) on board the European Metop satellite series. Another strong advantage of the hyperspectral signal from satellite instruments is the capability to minimize the influence of disturbing gas absorption lines within these bands. The probabilistic IMARS approach also directly provides the number of independent signals (variables) for each observation. For desert dust this number typically ranges from 2.5 to 4.0 depending on the characteristics of the observed dust plume. Consequently a lot more information beyond Aerosol Optical Depth (AOD) can be retrieved from these measurements.

elib-URL des Eintrags:https://elib.dlr.de/109435/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:On the Information Content of Hyperspectral Infrared Observations with Respect to Mineral Dust
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Klüser, LarsLars.Klueser (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:November 2016
Erschienen in:Hyperspectral Imaging and Sounding of the Environment, HISE 2016
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1364/HISE.2016.HW5D.1
Seitenbereich:Seiten 1-3
Status:veröffentlicht
Stichwörter:Mineral Dust, Infrared Remote Sensing, Hyperspectral Remote Sensing, Information Content
Veranstaltungstitel:OSA Light, Energy and the Environment Congress: Hyperspectral Imaging and Sounding of the Environment (HISE)
Veranstaltungsort:Leipzig, Deutschland
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:13 November 2016
Veranstaltungsende:17 November 2016
Veranstalter :OSA - The Optical Society
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
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Atmosphäre
Hinterlegt von: Klüser, Dr. Lars
Hinterlegt am:14 Dez 2016 14:05
Letzte Änderung:24 Apr 2024 20:14

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