Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview
Author
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Sobrino, J. A.
Author
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Jiménez-Miñoz, J. C.
Author
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Zarco-Tejada, P. J.
Author
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Sepulcre-Cantó, G.
Author
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De Miguel, E.
Author
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Sòria, G.
Author
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Romaguera, M.
Author
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Julien, Y.
Author
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Cuenca, J.
Author
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Hidalgo, V.
Author
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Franch, B.
Author
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Mattar, C.
Author
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Morales, L.
Author
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Gillespie, A.
Author
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Sabol, D.
Author
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Balick, L.
Author
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Su, Z.
Author
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Jia, L.
Author
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Gieske, A.
Author
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Timmermans, W
Admission date
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2018-12-17T12:41:20Z
Available date
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2018-12-17T12:41:20Z
Publication date
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2009
Cita de ítem
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Hydrol. Earth Syst. Sci., 13, 2031–2037, 2009
Identifier
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16077938
Identifier
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10275606
Identifier
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doi.org/10.5194/hess-13-2031-2009
Identifier
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https://repositorio.uchile.cl/handle/2250/153306
Abstract
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The AHS (Airborne Hyperspectral Scanner) instrument
has 80 spectral bands covering the visible and near
infrared (VNIR), short wave infrared (SWIR), mid infrared
(MIR) and thermal infrared (TIR) spectral range. The instrument
is operated by Instituto Nacional de T´ecnica Aerospacial
(INTA), and it has been involved in several field campaigns
since 2004.
This paper presents an overview of the work performed
with the AHS thermal imagery provided in the framework of
the SPARC and SEN2FLEX campaigns, carried out respectively
in 2004 and 2005 over an agricultural area in Spain.
The data collected in both campaigns allowed for the first
time the development and testing of algorithms for land surface
temperature and emissivity retrieval as well as the estimation
of evapotranspiration from AHS data. Errors were
found to be around 1.5K for land surface temperature and
1 mm/day for evapotranspiration.