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

共 32 条

[1] ANDERSON EA, 1976, 19 US NOAA NWS
[2] [Anonymous], 2004, Shuttle Radar Topography Mission
[3] Benichou P., 1987, Meteorologie
[4] BLOSCHL G, 1991, NORD HYDROL, V22, P95
[5] BOUDHAR A, 2009, HYDROL SCI J J SCI H, V54, P2009
[6] Boudhar Abdelghani, 2007, Secheresse (Montrouge), V18, P278, DOI 10.1684/sec.2007.0100
[7] Brubaker K, 1996, HYDROL PROCESS, V10, P1329
[8] A combined high and low spatial resolution approach for mapping snow covered areas in the Atlas mountains
Chaponnière, A
Maisongrande, P
Duchemin, B
Hanich, L
Boulet, G
Escadafal, R
Elouaddat, S
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (13) : 2755 - 2777
[9] An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions: the SUDMED programme
Chehbouni, A.
Escadafal, R.
Duchemin, B.
Boulet, G.
Simonneaux, V.
Dedieu, G.
Mougenot, B.
Khabba, S.
Kharrou, H.
Maisongrande, P.
Merlin, O.
Chaponniere, A.
Ezzahar, J.
Er-Raki, S.
Hoedjes, J.
Hadria, R.
Abourida, A.
Cheggour, A.
Raibi, F.
Boudhar, A.
Benhadj, I.
Hanich, L.
Benkaddour, A.
Guemouria, N.
Chehbouni, A. H.
Lahrouni, A.
Olioso, A.
Jacob, F.
Williams, D. G.
Sobrino, J. A.
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (17-18) : 5161 - 5181
[10] Developing the snow component of a distributed hydrological model: a step-wise approach based on multi-objective analysis
Dunn, SM
Colohan, RJE
[J]. JOURNAL OF HYDROLOGY, 1999, 223 (1-2) : 1 - 16

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