...
首页> 外文期刊>Advances in Remote Sensing >Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and SSEB Approaches
【24h】

Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and SSEB Approaches

机译:使用遥感的实际蒸发估计:Sebal和SSEB方法的比较

获取原文
           

摘要

The main objective of this paper was to evaluate the daily actual evapotranspiration (ET) accuracy obtained by remote sensing algorithms when compared with Bowen ratio measurements performed in the cotton fields. The experiment was conducted in a cotton experimental field of EMBRAPA located in Ceará State, Brazil. Seven TM Landsat-5 images acquired in 2005 and 2008 were used to perform SEBAL and SSEB algorithms. The comparison between the estimated values by remoting sensing algorithms and the measured values in situ showed an acceptable accuracy. Besides, SSEB algorithm showed to be an important tool for ET analysis in the semi-arid regions, due to the fact that it does not need the meteorological data to solve the energy balance, but only the average temperature of the “hot” and “cold” pixels. Additionally, SSEB presents simpler processing than SEBAL algorithm that needs to solve an iterative process to obtain the sensible heat flux values.
机译:本文的主要目的是评估遥感算法的日常实际蒸散(ET)精度,与棉田中的鲍氏比率测量相比。实验是在巴西Ceará州的Combrapa棉花实验领域进行的。 2005年和2008年获得的七个TM Landsat-5图像用于执行Sebal和SSEB算法。通过远程传感算法和测量值以原位的测量值之间的比较显示了可接受的精度。此外,SSEB算法显示是半干旱地区ET分析的重要工具,因为它不需要气象数据来解决能量平衡,而且只有“热”和“热”和“的平均气温冷“像素。另外,SSEB呈现比需要解决迭代过程的SEBAL算法来获得更简单的处理,以获得可显热通量值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号