| 冯景泽,王忠静.遥感蒸散发模型研究进展综述[J].水利学报,2012,43(8): |
| 遥感蒸散发模型研究进展综述 |
| A review on evapotranspiration estimation models using remotely sensed data |
| |
| DOI： |
| 中文关键词: 蒸散发 遥感 歧义性 干限 湿限 数据同化 |
| 英文关键词: evapotranspiration remote sensing ambiguity dry limit wet limit data assimilation |
| 基金项目: |
|
| 摘要点击次数: 2901 |
| 全文下载次数: 395 |
| 中文摘要: |
| 遥感技术被认为是可以定量估算区域尺度蒸散发的唯一可能途径，近年来发展迅速。根据遥感蒸散发模型的基本原理，指出遥感蒸散发模型在反演蒸散发时可能会面临气象数据空间插值及地表温度订正引起的不确定性问题。围绕如何解决这两类不确定性问题，总结了遥感蒸散发模型的发展历程，介绍了代表性模型的基本原理、假设、优缺点及误差来源，剖析了空间歧义性问题的产生缘由及干湿限的概念内涵，对地表参数、时间拓展、空间尺度及模型验证、遥感数据和陆面过程模型的同化等遥感蒸散发模型应用中不可避免的问题进行了简要分析。最后对遥感蒸散发模型的发展趋势进行了探讨。 |
| 英文摘要: |
| Remote sensing technique has been recognized as the only feasible way to estimate evapotranspiration （ET） in regional scale due to its advantages and rapid developments in recent decades. It is pointed out that remote sensing ET models might face uncertainties resulted from spatial extrapolation of meteorological data and adjustments related to radiometric temperature. The development process of remote sensing ET models is presented along with the reduction of these uncertainties. An overview of the basic theory， assumptions， algorithms， merits and limitations of some remote sensing ET models was given in the present study. The concepts of the spatial ambiguity issue，dry and wet limits （pixels） were discussed as well. Furthermore， the inevitable problems for applying remote sensing ET models such as retrieval of parameters with its uncertainties， temporal extension with its uncertainties， the spatial scale problem， model validation and data assimilation between remote sensing data and land surface model were analyzed， respectively. Finally，the study discussed the possible future trends of remote sensing ET models. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |