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Proceedings Paper

An enhanced vegetation cover method for automatic generation of land surface emissivity maps
Author(s): Eduardo Caselles; Francisco J. Abad; Enric Valor; Joan M. Galve; Vicente Caselles
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Paper Abstract

The remote sensing measurement of the land surface temperature from satellites provides an overview of this magnitude on a continuous and regular basis. The study of its evolution in time and space is a critical factor in many scientific fields such as weather forecasting, detection of forest fires, climate change, and so on. The main problem of making this measurement from satellite data is the need to correct the effects of the atmosphere and the surface emissivity. The aim was to define an enhanced vegetation cover method to calculate and generate, automatically, maps of land surface emissivity from images of the AATSR (Advanced Along Track Scanning Radiometer) onboard the Envisat satellite. For the production of these emissivity maps, the geometric model purposed is based on [6]. Its validation was made by comparing the obtained results and the values measured in previous field campaigns [2] carried out in the area of rice fields of Valencia, Spain.

Paper Details

Date Published: 21 August 2009
PDF: 8 pages
Proc. SPIE 7452, Earth Observing Systems XIV, 745216 (21 August 2009); doi: 10.1117/12.824368
Show Author Affiliations
Eduardo Caselles, Univ. Politécnica de València (Spain)
Univ. de València (Spain)
Francisco J. Abad, Univ. Politécnica de València (Spain)
Enric Valor, Univ. de València (Spain)
Joan M. Galve, Univ. de València (Spain)
Vicente Caselles, Univ. de València (Spain)

Published in SPIE Proceedings Vol. 7452:
Earth Observing Systems XIV
James J. Butler; Xiaoxiong Xiong; Xingfa Gu, Editor(s)

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