Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 13 11 2009 10.5194/hess-13-2031-2009 http://www.hydrol-earth-syst-sci.net/13/2031/2009/ http://www.hydrol-earth-syst-sci.net/13/2031/2009/hess-13-2031-2009.html http://www.hydrol-earth-syst-sci.net/13/2031/2009/hess-13-2031-2009.pdf 2031 2037 2009-11-03 Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview J. A. Sobrino sobrino@uv.es J. C. Jiménez-Muñoz P. J. Zarco-Tejada G. Sepulcre-Cantó E. de Miguel G. Sòria 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. Timmermans A. Olioso F. Nerry L. Guanter J. Moreno Q. Shen Global Change Unit, Image Processing Laboratory, University of Valencia, Spain Instituto de Agricultura Sostenible, Consejo Superior de Investigaciones Científicas, Córdoba, Spain Instituto Nacional de Técnia Aeroespacial, Dpto. de Observación de la Tierra, Teledetección y Atmósfera, Madrid, Spain Dpto. de Ciencias Ambientales y Recursos Naturales, Facultad de Ciencias Agronomicas, Universidad de Chile, Santiago de Chile, Chile W. M. Keck Remote Sensing Laboratory, Dept. of Earth and Space Sciences, University of Washington, Seattle, USA Space and Remote Sensing Sciences Group, Los Alamos National Laboratory, Los Alamos, USA International Institute for Geoinformation Science and Earth Observation (ITC), Enschede, The Netherlands Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands INRA Bioclimatologie, Avignon, France LSIIT/TRIO, Louis Pasteur University, Illkirch cedex, France Laboratory of Earth Observation, Image Processing Laboratory, University of Valencia, Spain 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. <br><br> 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. Bastiaanssen, W. G. M., Molden, D. J., and Makin, I. W.: Remote sensing for irrigated agriculture: Examples from research and posible applications, Agr. Water Manage., 46, 137–155, 2000. Gillespie, A., Rokugawa, S., Matsunaga, T., Cothern, J. S., Hook, S., and Kahle, A. B.: A temperature and emissivity separation algorithm for advanced spaceborne thermal emission and reflection radiometer (ASTER) images, IEEE T. Geoscie. Remote, 36, 1113–1126, 1998. Gómez, M., Sobrino, J. A., Olioso, A., and Jacob, F.: Retrieval of evapotranspiration over the Alpilles/ReSeDA experimental site using airborne POLDER sensor and Thermal Camera, Remote Sens. Environ., 96(3–4), 399–408, 2005. Guanter, L., Richter, R., Alonso, L., and Moreno, J.: Atmospheric correction algorithm for remote sensing data over land. II. Application to ESA SPARC campaigns: airborne sensors, Proceedings of the SPARC, Enschede, Holland, 4–5~July, ESA Publications Division, WPP-250, 2005. Jiménez-Muñoz, J. C. and Sobrino, J. A: A generalized single-channel method for retrieving land surface temperature from remote sensing data, J. Geophys. Res., 108(D22), 4688, doi:10.1029/2003JD003480, 2003. Jiménez, M., Chico, J., de Miguel, E., Gómez, J. A., Sobrino, J. A., Jiménez-Muñoz, J. C., Prado, E., and Robles, C: Airborne Hyperspectral Scanner (AHS) spectral emissivity retrieval in 8–13 μm, 10th International Symposium on Physical Measurements and Sigantures in Remote Sensing (ISPMSRS'07), Davos, Switzerland, 12–14~March, International Society for Photogrammetry and Remote Sensing (ISPRS), 2007. Kerr, Y. H., Lagouarde, J. P., Nerry, F., and Ottlé, C.: Land surface temperature retrieval techniques and applications: case of the AVHRR. Thermal Remote Sensing in Land Surface Processes, edited by: Quattrochi, D. A. and Luvall, J. C., CRC Press, Florida, 33–109, 2004. Moreno, J., Caselles, V., Martínez-Lozano, J. A., Meliá, J., Sobrino, J. A., Calera, A., Montero, F., and Cisneros, J. M.: The Measurments Programme at Barrax, DAISEX Final Results Workshop, ESTEC, Holland, 15–16 March, ESA Publications Division, SP-499, 43–51, 2001. Moreno,~J., Alonso,~L., Fernández,~G., et al.: The SPECTRA Barrax Campaign (SPARC): Overview and first results from CHRIS data, in: Proceedings of 2nd CHRIS/PROBA Workshop, Frascati, Italy, ESA-ESRIN, CD-ROM, 2004. Qin, Z., Karnieli, A., and Berliner, P.: A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region, Int. J. Remote Sens., 22(18), 3719–3746, 2001. Quattrochi, D. A. and Luvall, J. C.: Thermal infrared remote sensing data for analysis of landscape ecological processes: methods and applications, Landscape Ecol., 14(6), 577–598, 1999. Roerink, G., Su, Z., and Menenti, M.: S-SEBI: A Simple Remote Sensing Algorithm to Estimate the Surface Energy Balance, Phys. Chem. Earth Pt. B, 25(2), 147–157, 2000. Seguin, B. and Itier, B.: Using midday surface temperature to estimate daily evaporation from satellite thermal IR data, Int. J. Remote Sens., 4(2), 371–383, 1983. Sobrino, J. A. and Raissouni, N.: Toward remote sensing methods for land cover dynamic monitoring: application to Morocco, Int. J. Remote Sens., 21(2), 353–366, 2000. Sobrino, J. A., Gómez, M., Jiménez-Muñoz, J. C., Olioso, A., and Chehbouni, G.: A simple algorithm to estimate evapotranspiration from DAIS data: Application to the DAISEX Campaigns, J. Hydrol., 315, 117–125, 2005. Sobrino, J. A., Jiménez-Muñoz, J. C., Zarco-Tejada, P. J., Sepulcre-Cantó, G., and de Miguel, E.: Land surface temperature derived from airborne hyperspectral scanner thermal infrared data, Remote Sens. Environ., 102, 99–115, 2006. Wassenaar, T., Olioso, A., Hasager, C., Jacob, F., and Chehbouni, A.: Estimation of evapotranspiration on heterogeneous pixels, in: 1st Recent Advances in Quantitative Remote Sensing, edited by: Sobrino, J. A., Torrent (Valencia), Spain, 16–20 September, Publicacions de la Universitat de València, 458–465, 2002.