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On the atmospheric correction of Antarctic airborne hyperspectral data

Diaz, Alejandra; Diaz, Alejandra Umana; Black, Martin; Fleming, Andrew; Riley, Teal; Ferrier, Graham; Fretwell, Peter; McFee, John; Achal, Stephen; Umaña-Diaz, Alejandra

Authors

Alejandra Diaz

Alejandra Umana Diaz

Martin Black

Andrew Fleming

Teal Riley

Peter Fretwell

John McFee

Stephen Achal

Alejandra Umaña-Diaz



Abstract

The first airborne hyperspectral campaign in the Antarctic Peninsula region was carried out by the British Antarctic Survey and partners in February 2011. This paper presents an insight into the applicability of currently available radiative transfer modelling and atmospheric correction techniques for processing airborne hyperspectral data in this unique coastal Antarctic environment. Results from the Atmospheric and Topographic Correction version 4 (ATCOR-4) package reveal absolute reflectance values somewhat in line with laboratory measured spectra, with Root Mean Square Error (RMSE) values of 5% in the visible near infrared (0.4–1 µm) and 8% in the shortwave infrared (1–2.5 µm). Residual noise remains present due to the absorption by atmospheric gases and aerosols, but certain parts of the spectrum match laboratory measured features very well. This study demonstrates that commercially available packages for carrying out atmospheric correction are capable of correcting airborne hyperspectral data in the challenging environment present in Antarctica. However, it is anticipated that future results from atmospheric correction could be improved by measuring in situ atmospheric data to generate atmospheric profiles and aerosol models, or with the use of multiple ground targets for calibration and validation.

Citation

Black, M., Fleming, A., Riley, T., Ferrier, G., Fretwell, P., McFee, J., …Umaña-Diaz, A. (2014). On the atmospheric correction of Antarctic airborne hyperspectral data. Remote Sensing, 6(5), 4498-4514. https://doi.org/10.3390/rs6054498

Journal Article Type Article
Acceptance Date May 9, 2014
Online Publication Date May 16, 2014
Publication Date 2014-04
Deposit Date Feb 26, 2016
Publicly Available Date Nov 23, 2017
Journal Remote sensing
Electronic ISSN 2072-4292
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 6
Issue 5
Pages 4498-4514
DOI https://doi.org/10.3390/rs6054498
Keywords General Earth and Planetary Sciences
Public URL https://hull-repository.worktribe.com/output/471723
Publisher URL http://www.mdpi.com/2072-4292/6/5/4498
Additional Information This is a copy of an open access article published in Remote sensing, 2014, v.6 issue 5.

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