Estimation of regional evapotranspiration based on remote sensing: case study in the Heihe River Basin
文献类型:SCI/SSCI论文
作者 | Tian J. |
发表日期 | 2012 |
关键词 | evapotranspiration remote sensing advection arid and semiarid areas surface-energy balance soil-water content triangle method reflectance products vegetation index closure problem heat-flux evaporation temperature advection |
英文摘要 | Accurate estimation of evapotranspiration (ET) has long been an important issue in hydrology. Many experimental observations indicate advection has a great impact on ET in arid and semiarid areas. However, most of the remote sensing models only focus on the vertical energy balance and deviate from reality. A revised Penman equation has been derived to estimate actual ET under normal conditions in order to account for advection. The parameter of the water availability for ET is introduced and the T-s/f (surface temperature and vegetation fraction) space is used to characterize this parameter in the revised formula. The estimates were validated using the observations measured with eddy covariance systems at the Yingke station. In 22 of all 24 days, the difference between the observations and the estimates was smaller than 70 W/m(2). The correlation coefficient is 0.91 and the RMSE is 48.38 W/m(2). This finding reveals that this approach is capable of providing reliable results. In addition, when considering advection, the potential ET can be 83.23 W/m(2) larger than the available energy. This finding indicates that the advection effect needs to be considered in remote sensing models in order to derive more reliable regional ET. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.061701] |
出处 | Journal of Applied Remote Sensing |
卷 | 6 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1931-3195 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/30703] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Tian J.. Estimation of regional evapotranspiration based on remote sensing: case study in the Heihe River Basin. 2012. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。