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Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe

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Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe

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Caselles, E.; Valor, E.; Abad Cerdá, FJ.; Caselles, V. (2012). Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe. Remote Sensing of Environment. 124:321-333. doi:10.1016/j.rse.2012.05.024

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/78994

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Title: Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe
Author:
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Issued date:
Abstract:
The remote sensing measurement of land surface temperature from satellites provides a monitoring of this magnitude on a continuous and regular basis, which is a critical factor in many research fields such as weather f ...[+]
Subjects: Land surface temperature , Land surface emissivity , Vegetation cover , AATSR , Globcover
Copyrigths: Reserva de todos los derechos
Source:
Remote Sensing of Environment. (issn: 0034-4257 )
DOI: 10.1016/j.rse.2012.05.024
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.rse.2012.05.024
Description: This is the author’s version of a work that was accepted for publication in Remote Sensing of Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Remote Sensing of Environment, 124, 321-333.DOI :10.1016/j.rse.2012.05.024.
Thanks:
This work was funded by the Generalitat Valenciana (project PRO-METEO/2009/086, and contract of Eduardo Caselles) and the Spanish Ministerio de Ciencia e Innovacion (projects CGL2007-64666/CLI, CGL2010-17577/CLI and ...[+]
Type: Artículo

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