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Comptes Rendus Géoscience 343, 1 (2011) 32-42
Spatial distribution of the air temperature in mountainous areas using satellite thermal infra-red data
Abdelghani Boudhar ( ) 1, Benoît Duchemin 2, Lahoucine Hanich 1, Gilles Boulet 2, Abdelghani Chehbouni 2
(2011)

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.
1:  Faculté des Sciences SEMLALIA (FSSM)
Université Cadi Ayyad (Marrakech, Maroc)
2:  Centre d'études spatiales de la biosphère (CESBIO)
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
Life Sciences/Ecology, environment/Ecosystems

Engineering Sciences/Other
Air temperature – Landsat ETM – Snow-covered areas – Moroccan High-Atlas
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