Assessment of soil water deficit for the middle reaches of Yarlung-Zangbo River from optical and passive microwave images

被引:13
|
作者
Zhong, Lei [1 ,2 ,3 ]
Ma, Yaoming [2 ]
Fu, Yunfei [1 ]
Pan, Xiao [1 ]
Hu, Wei [4 ]
Su, Zhongbo [3 ]
Salama, Mhd. Suhyb [3 ]
Feng, Lu [1 ]
机构
[1] Univ Sci & Technol China, Sch Earth & Space Sci, Lab Atmosphere Observat & Water Cycle, Hefei 230026, Peoples R China
[2] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China
[3] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
[4] Fundamental Surveying & Mapping Informat Ctr Anhu, Hefei, Peoples R China
基金
欧盟第七框架计划; 中国国家自然科学基金;
关键词
Surface Energy Balance System; Soil moisture; The Tibetan Plateau; SURFACE-TEMPERATURE; DROUGHT; LAND; VALIDATION; MOISTURE; ALGORITHM; NETWORK; CHINA; AVHRR; TIBET;
D O I
10.1016/j.rse.2013.11.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The middle reaches of Yarlung-Zangbo River (YZR) and its two tributaries (Lhasa River and Nianchu River) is a main agricultural region in central Tibet Autonomous Region. Soil water deficit (SWD) estimation has significant relevance to local crop growth monitoring, crop yield assessment and disaster monitoring. It also has great theoretical importance for understanding the local energy and water balance status. In this paper, AVHRR and MODIS data on 14 April 2003, 16 October 2003 under nearly clear weather conditions are selected as the spring and autumn cases. Land surface parameters, such as land surface temperature, surface albedo, Normalized Difference Vegetation Index, and emissivity, have been derived from different algorithms for AVHRR and MODIS data. In combination with meteorological data, the soil water deficit index is determined by applying Surface Energy Balance System. The R square values between SWDI and AMSR-E soil moisture are ranging from 0.457 to 0.607, with spring SWD being much more severe than that in autumn. The limited river runoff (less than 5% of the annual total) is the dominant factor for spring SWD. This study also reveals that the derived spring SWD from AVHRR and MODIS data is quite different on the same day. This phenomenon is caused by different satellite overpass times which influence the melting frozen soil. This also confirms that the soil moisture may have diurnal variations. The spatial variations of SWD conditions in the middle reaches of YZR and its two tributaries have been clearly identified. (C) 2013 Elsevier Inc All rights reserved.
引用
收藏
页码:1 / 8
页数:8
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