www.hydrol-earth-syst-sci.net/13/2031/2009/ doi:10.5194/hess-13-2031-2009 © Author(s) 2009. This work is distributed under the Creative Commons Attribution 3.0 License. Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview 1Global Change Unit, Image Processing Laboratory, University of Valencia, Spain 2Instituto de Agricultura Sostenible, Consejo Superior de Investigaciones Científicas, Córdoba, Spain 3Instituto Nacional de Técnia Aeroespacial, Dpto. de Observación de la Tierra, Teledetección y Atmósfera, Madrid, Spain 4Dpto. de Ciencias Ambientales y Recursos Naturales, Facultad de Ciencias Agronomicas, Universidad de Chile, Santiago de Chile, Chile 5W. M. Keck Remote Sensing Laboratory, Dept. of Earth and Space Sciences, University of Washington, Seattle, USA 6Space and Remote Sensing Sciences Group, Los Alamos National Laboratory, Los Alamos, USA 7International Institute for Geoinformation Science and Earth Observation (ITC), Enschede, The Netherlands 8Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands 9INRA Bioclimatologie, Avignon, France 10LSIIT/TRIO, Louis Pasteur University, Illkirch cedex, France 11Laboratory of Earth Observation, Image Processing Laboratory, University of Valencia, Spain 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 Técnica 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. Final Revised Paper (PDF, 706 KB) Discussion Paper (HESSD) Citation: Sobrino, J. A., Jiménez-Muñoz, J. C., Zarco-Tejada, P. J., Sepulcre-Cantó, G., de Miguel, E., Sòria, G., Romaguera, M., Julien, Y., Cuenca, J., Hidalgo, V., Franch, B., Mattar, C., Morales, L., Gillespie, A., Sabol, D., Balick, L., Su, Z., Jia, L., Gieske, A., Timmermans, W., Olioso, A., Nerry, F., Guanter, L., Moreno, J., and Shen, Q.: Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview, Hydrol. Earth Syst. Sci., 13, 2031-2037, doi:10.5194/hess-13-2031-2009, 2009. Bibtex EndNote Reference Manager XML |