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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
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)

Creator
Hochstaffl, Philipp
Schreier, Franz
Köhler, Claas Henning
Baumgartner, Andreas
Cerra, Daniele

DOI
10.5194/amt-16-4195-2023
URN
urn:nbn:de:101:1-2023092104220808044901
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:56 AM CEST

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Associated

  • Hochstaffl, Philipp
  • Schreier, Franz
  • Köhler, Claas Henning
  • Baumgartner, Andreas
  • Cerra, Daniele

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