Methane retrievals from airborne HySpex observations in the shortwave infrared
Abstract k -means clustering as a preprocessing step can further enhance the performance of the two linear solvers. The linearized BIRRA fit (LLS) underestimates methane but agrees on the enhancement pattern. The non-quantitative spectral signature detection (SSD) method does not require any forward modeling and can be useful in the detection of relevant scenes. In conclusion, the BIRRA code, originally designed for the retrieval of atmospheric constituents from spaceborne high-resolution spectra, turned out to be applicable to hyperspectral airborne imaging data for the quantification of methane plumes from point-like sources. Moreover, it is able to outperform well-established linear schemes such as the MF or SVD at the expense of high (er) computing time.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Methane retrievals from airborne HySpex observations in the shortwave infrared ; volume:16 ; number:18 ; year:2023 ; pages:4195-4214 ; extent:20
Atmospheric measurement techniques ; 16, Heft 18 (2023), 4195-4214 (gesamt 20)
- Urheber
- DOI
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10.5194/amt-16-4195-2023
- URN
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urn:nbn:de:101:1-2023092104220808044901
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:56 MESZ
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Beteiligte
- Hochstaffl, Philipp
- Schreier, Franz
- Köhler, Claas Henning
- Baumgartner, Andreas
- Cerra, Daniele
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