%0 Journal Article
%@nexthigherunit 8JMKD3MGPCW/43SRC6S
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@archivingpolicy denypublisher denyfinaldraft12
%X This paper presents an assessments of the perfomance of a hybrid method that allows a simultaneous retrieval of land-surface temperature (LST) and emissivity (LSE) from remotely-sensed data. The proposed method is based on a synergistic usage of the split-window (SW) algorithm and the two-temperature method (TTM) and combines the advantages of both produceres while mitigating their drawbacks. The method was implemented for thermal channels 76 (10.56um) and 78 (11.72um) of the Airbone Hyperspectral Scanner (AHS), which was flown over the Barrax test site (Albacete, Spain) in the second week of July 2005, within the framework of the Sentinel-2 and Fluorescence Experiment (SEN2FLEX) field campaing. A set of radiometric measurements was performed in the thermal infrared region in coincidence with aircraft overpasses for different surface types, e.g. bare soil, water body, corn, wheat, grass. The hybrid method was tested and compared with a standard SW algorithm and the results obtained show that the hybrid method is able to provide better estimates of LST, with values of bias (RMSE) of the order of 0.8K (1.9K), i.e. about one third (one half) of the corresponding values of 2.7K (3.4K) that were obtained for bias (RMSE) when usinf the SW algorithm. These figures provide a sound indication that the developed hybrid method is particulary useful for surface and atmospheric conditions where SW algorithms cannot be accurately applied.
%@mirrorrepository sid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
%8 Dec
%N 24
%@secondarydate 201208
%T Validation of a temperature emissivity separation hybrid method from airbone hyperspectral scanner data and ground measurements in the SEN2FLEX field campaing
%@secondarytype PRE PI
%K *.
%@usergroup administrator
%@usergroup deicy
%@group DSA-CPT-INPE-MCT-BR
%@group
%@group DSA-CPT-INPE-MCT-BR
%@e-mailaddress deicy@cptec.inpe.br
%3 validation.pdf
%@secondarykey INPE--PRE/
%@issn 0143-1161
%2 sid.inpe.br/mtc-m18@80/2009/03.25.11.46.59
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Global Change Unit, Department of Thermodynamics, Faculty of Physics, University of Valencia
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Global Change Unit, Department of Thermodynamics, Faculty of Physics, University of Valencia
%@affiliation University of Lisbon, CGUL, IDL
%@affiliation Global Change Unit, Department of Thermodynamics, Faculty of Physics, University of Valencia
%B International Journal of Remote Sensing
%@versiontype publisher
%P 7251-7268
%4 sid.inpe.br/mtc-m18@80/2009/03.25.11.46
%@documentstage not transferred
%D 2008
%V 29
%@doi 10.1080/01431160802036532
%A Peres, L. F.,
%A Sobrino, J. A.,
%A Libonati, Renata,
%A Jiménez-Muñoz, J. C.,
%A Dacamara, C. C,
%A Romaguera, M.,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area MET