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21 August 2009 An enhanced vegetation cover method for automatic generation of land surface emissivity maps
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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.
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Eduardo Caselles, Francisco J. Abad, Enric Valor, Joan M. Galve, and Vicente Caselles "An enhanced vegetation cover method for automatic generation of land surface emissivity maps", Proc. SPIE 7452, Earth Observing Systems XIV, 745216 (21 August 2009); https://doi.org/10.1117/12.824368
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