Fischer, Peter und Bieniarz, Jakub und Schwind, Peter und Storch, Tobias (2017) Simulation of EnMAP data using AVIRIS data. 10th EARSel SIG Imaging Spectroscopy Workshop, 2017-04-19 - 2017-04-21, Zurich, Switzerland.
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Offizielle URL: http://www.earsel.org/SIG/IS/workshops/10-IS-Workshop/
Kurzfassung
This contribution focuses on mosaicking of airborne data of AVIRIS (Airborne Visible InfraRed Imaging Spectrometer) that is used for various preparatory activities of the spaceborne mission EnMAP (Environmental Mapping and Analysis Program; www.enmap.org) planned to be launched in 2019. Such data can e.g. be used for validating the fully-automatic image processing chain or to provide, in advance and as realistic as possible, example products to future EnMAP users. AVIRIS is selected since it covers a spectral range from 380 nm to 2500 nm which is slightly larger than that of EnMAP (420 nm to 2450 nm). Both sensors exhibit a similar contiguous spectral sampling distance of 10 nm. The dataset consists of 11 stripes covering an area in California/USA and was acquired on April 14 2007 between 17:05 and 22:55 UTC with the sensor to ground distance ranging from approximately 16 km to 20 km, which results in many atmospheric effects similar to the spaceborne data. AVIRIS data have a higher geometric resolution and a swath of only 11 km. In order to obtain EnMAP's geometric parameters with the swath of 30 km and geometric resolution of 30 m × 30 m at least four flight lines have to be combined taking appropriate overlaps and margins into account. To close the gap between AVIRIS and EnMAP data, three steps have to be conducted, (a) a single mosaic has to be generated using the AVIRIS data, (b) the dataset has to be spectrally resampled and (c) a geometric transformation has to be applied simulation of EnMAP data using AVIRIS data (PDF Download Available).
elib-URL des Eintrags: | https://elib.dlr.de/112124/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||||||
Titel: | Simulation of EnMAP data using AVIRIS data | ||||||||||||||||||||
Autoren: |
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Datum: | März 2017 | ||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | EnMAP, Simulation, Hyperspektral | ||||||||||||||||||||
Veranstaltungstitel: | 10th EARSel SIG Imaging Spectroscopy Workshop | ||||||||||||||||||||
Veranstaltungsort: | Zurich, Switzerland | ||||||||||||||||||||
Veranstaltungsart: | Workshop | ||||||||||||||||||||
Veranstaltungsbeginn: | 19 April 2017 | ||||||||||||||||||||
Veranstaltungsende: | 21 April 2017 | ||||||||||||||||||||
Veranstalter : | EARSeL and University of Zurich | ||||||||||||||||||||
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 - Optische Fernerkundung | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||
Hinterlegt von: | Fischer, Peter | ||||||||||||||||||||
Hinterlegt am: | 05 Mai 2017 14:33 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:16 |
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