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Spatial distribution of the air temperature in mountainous areas using satellite thermal infra-red data

Abstract : Understanding the spatial distribution of air temperature in mountainous areas is essential in hydrological modelling. In the Moroccan High-Atlas range, the meteorological stations network is sparse. In order to get additional information, we investigated the thermal infrared data supplied by the Enhanced Thematic Mapper (ETM +) sensor onboard the Landsat 7 satellite. The brightness temperature derived from ETM+ images is used as a proxy for air temperature to set up a model that describes its spatial distribution. This model accounts for sun location and topographic characteristics derived from the SRTM digital elevation model. It was evaluated on the Rheraya watershed, a 225-km(2) region located within the semi-arid High-Atlas mountain range, using two different sources of data. The first data set consists in in-situ air temperature collected by meteorological stations installed during the experiment at various altitudes from 1400 to 3200 m. The second data set is satellite estimates of snow-covered areas (SCA) derived from MODIS images over the whole catchment at 500 m spatial resolution.
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Abdelghani Boudhar, Benoît Duchemin, Lahoucine Hanich, Gilles Boulet, Ghani Chehbouni. Spatial distribution of the air temperature in mountainous areas using satellite thermal infra-red data. Comptes Rendus Géoscience, Elsevier Masson, 2011, 343 (1), pp.32-42. ⟨10.1016/j.crte.2010.11.004⟩. ⟨ird-00667480⟩

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