Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview

J.A. Sobrino, J.C. Jimenez-Munoz, P.J. Zarco-Tejada, G. Sepulcre-Canto, E. de Miguel, G. Soria, M. Romaguera, Y. Julien, J. Cuenca, V. Hidalgo, B. Franch, C. Mattar, L. Morales, A. Gillespie, D. Sabol, L. Balick, Z. Su, L. Jia, A. Gieske, W. TimmermansA. Olioso, F. Nerry, L. Guanter, J. Moreno, Q. Shen

Research output: Contribution to journalArticleAcademicpeer-review

27 Citations (Scopus)

Abstract

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,cnica 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 1.5 K for land surface temperature and 1 mm/day for evapotranspiration.
Original languageEnglish
Pages (from-to)2031-2037
JournalHydrology and Earth System Sciences
Volume13
Issue number11
DOIs
Publication statusPublished - 2009

Keywords

  • land-surface temperature
  • algorithm
  • evapotranspiration

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