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

被引：20

作者：

Boudhar, Abdelghani ^{[1
]}

Duchemin, Benoit ^{[2
]}

Hanich, Lahoucine ^{[1
]}

Boulet, Gilles ^{[2
]}

Chehbouni, Abdelghani ^{[2
]}

机构：

[1] Fac Sci & Tech Marrakech, Marrakech, Morocco

[2] Univ Toulouse, CESBIO, CNRS, CNES,IRD, Toulouse 4, France

来源：

COMPTES RENDUS GEOSCIENCE | 2011年 / 343卷 / 01期

关键词：

Air temperature; Landsat ETM; Snow-covered areas; Moroccan High-Atlas; SNOWMELT; CALIBRATION; MODIS; MODEL;

D O I：

10.1016/j.crte.2010.11.004

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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. (C) 2010 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.

引用

页码：32 / 42

页数：11

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