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Adjusted normalized emissivity method for surface temperature and emissivity retrieval from optical and thermal infrared remote sensing data

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Adjusted normalized emissivity method for surface temperature and emissivity retrieval from optical and thermal infrared remote sensing data

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dc.contributor.author Coll Company, César
dc.contributor.author Valor i Micó, Enric
dc.contributor.author Caselles Miralles, Vicente
dc.contributor.author Niclòs Corts, Raquel
dc.date.accessioned 2014-07-01T11:05:37Z
dc.date.available 2014-07-01T11:05:37Z
dc.date.issued 2003
dc.identifier.citation Coll Company, César Valor i Micó, Enric Caselles Miralles, Vicente Niclòs Corts, Raquel 2003 Adjusted normalized emissivity method for surface temperature and emissivity retrieval from optical and thermal infrared remote sensing data Journal of Geophysical Research-Atmospheres 108 D23 4739 4749
dc.identifier.uri http://hdl.handle.net/10550/36753
dc.description.abstract A methodology for the retrieval of surface temperatures and emissivities combining visible, near infrared and thermal infrared remote sensing data was applied to Digital Airborne Imaging Spectrometer (DAIS) data and validated with coincident ground measurements acquired in a multiyear experiment held in an agricultural site in Barrax, Spain. The Adjusted Normalized Emissivity Method (ANEM) is based on the use of visible and near infrared data to estimate the vegetation cover and model the maximum emissivity according to the Vegetation Cover Method. The pixel-dependent maximum emissivity is used as the initial guess of the Normalized Emissivity Method to obtain the surface temperature and emissivity from the thermal infrared data. ANEM allows adjusting the initial emissivity with regard to the spatial variation of emissivity with vegetation cover, instead of using a fixed emissivity. Surface temperatures derived with ANEM agreed well with ground data, with a standard deviation of ±0.8 K and nearly zero bias for all the surface types. Retrieved emissivities were mostly within ±0.01 of the measured values, despite certain instrumental problems apparent in the thermal part of DAIS. An analysis of the emissivity spectra was performed, showing the utility in the discrimination of different agricultural surface types in the area.
dc.relation.ispartof Journal of Geophysical Research-Atmospheres, 2003, vol. 108, num. D23, p. 4739-4749
dc.subject Calor Radiació i absorció
dc.title Adjusted normalized emissivity method for surface temperature and emissivity retrieval from optical and thermal infrared remote sensing data
dc.type journal article es_ES
dc.date.updated 2014-07-01T11:05:37Z
dc.identifier.doi 10.1029/2003JD003688
dc.identifier.idgrec 000809
dc.rights.accessRights open access es_ES
dc.identifier.url 10.1029/2003JD003688

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