On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data

Remote Sensing

Martin Black⁴  Andrew Fleming⁴  Teal Riley⁴  Graham Ferrier³  Peter Fretwell⁴  John McFee²  Stephen Achal¹ 

[1] ITRES Research Ltd., 110, 3553-31st Street NW, Calgary, AB T2L 2K7, Canada; E-Mails:;Defence Research and Development Canada-Suffield, Medicine Hat, AB T1A 8K6, Canada; E-Mail:;Department of Geography, Environment and Earth Sciences, University of Hull, Hull HU6 7RX, UK; E-Mail:;British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK; E-Mails:

关键词: airborne hyperspectral data;    atmospheric correction;    Antarctica;    radiative transfer modelling;    MODTRAN;    ATCOR;   

DOI  :  10.3390/rs6054498

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland