Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia

被引:36
|
作者
Ma, Weiqiang [1 ,2 ,3 ]
Hafeez, Mohsin [2 ]
Rabbani, Umair [2 ]
Ishikawa, Hirohiko [3 ]
Ma, Yaoming [4 ]
机构
[1] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Gansu, Peoples R China
[2] Charles Sturt Univ, Int Ctr Water Food Secur, Wagga Wagga, NSW 2678, Australia
[3] Kyoto Univ, Disaster Prevent Res Inst, Uji, Kyoto 6110011, Japan
[4] Chinese Acad Sci, Inst Tibetan Plateau Res, Lab Tibetan Environm Changes & Land Surface Proc, Beijing 100085, Peoples R China
关键词
Evapotranspiration; Murrumbidgee; Coleambally Irrigation Area; TM5; SEBS; ENERGY-BALANCE; EVAPORATION;
D O I
10.1016/j.atmosenv.2012.05.040
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The idea of ground-based evapotranspiration (ET) is of the most interesting for land atmosphere interactions, such as water-saving irrigation, the performance of irrigation systems, crop water deficit, drought mitigation strategies and accurate initialization of climate prediction models especially in arid and semiarid catchments where water shortage is a critical problem. The recent year's drought in Australia and concerns about climate change has prominent the need to manage water resources more sustainably especially in the Murrumbidgee catchment which utilizes bulk water for food security and production. This paper discusses the application of a Surface Energy Balance System (SEBS) model based on Landsat-5 TM data and field observations has been used and tested for deriving ET over Coleambally Irrigation Area (CIA), located in the southwest of NSW. Australia. 16 Landsat-5 TM scenes were selected covering the time period of 2009, 2010 and 2011 for estimating the actual ET in CIA. To do the validation the used methodology, the ground-measured ET was compared to the Landsat-5 TM retrieved actual ET results for CIA. The derived Er value over CIA is much closer to the field measurement. From the remote sensing results and observations, the root mean square error (RMSE) is 0.74 and the mean APD is 7.5%. The derived satellite remote sensing values belong to reasonable range. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:408 / 414
页数:7
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