Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia
Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia
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DOI：
10.1016/j.atmosenv.2012.05.040
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发表时间：
2012-11
影响因子：
5
通讯作者：
Weiqiang Ma;M. Hafeez;U. Rabbani;H. Ishikawa;Yaoming Ma
中科院分区：
文献类型：
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作者：
Weiqiang Ma;M. Hafeez;U. Rabbani;H. Ishikawa;Yaoming Ma
地面蒸散发（ET）的概念是陆地-大气相互作用中最有趣的，例如节水灌溉、灌溉系统的性能、作物水分亏缺、干旱缓解战略和气候预测模型的准确初始化，特别是在缺水是一个关键问题的干旱和半干旱集水区。最近几年澳大利亚的干旱和对气候变化的担忧突出了更可持续地管理水资源的必要性，特别是在利用散装水进行粮食安全和生产的Murrumbidgee集水区。本文讨论了基于Landsat-5 TM数据和野外观测数据的地表能量平衡系统（SEBS）模型在澳大利亚新南威尔士州西南部Coleambally灌区（CIA）的应用，选取了2009年、2010年和2011年的16个Landsat-5 TM场景来估算CIA的实际ET。为了验证所使用的方法，将地面测量的ET与Landsat-5 TM检索的CIA实际ET结果进行了比较。在CIA上得到的ET值更接近于现场测量值。从遥感结果和观测结果来看，均方根误差（RMSE）为0.74，平均APD为7.5%。导出的卫星遥感值在合理范围内。
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 ET 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.