Impact of the Spatial Domain Size on the Performance of the T-s-VI Triangle Method in Terrestrial Evapotranspiration Estimation
文献类型：SCI/SSCI论文
| 作者 | Tian J. |
| 发表日期 | 2013 |
| 关键词 | triangle method evapotranspiration estimation spatial domain size limiting boundaries of T-s-VI space energy-balance surface evapotranspiration soil-moisture model flux disaggregation temperature imagery system scale |
| 英文摘要 | This study aims to investigate the impact of the spatial size of the study domain on the performance of the triangle method using progressively smaller domains and Moderate Resolution Imaging Spectroradiometer (MODIS) observations in the Heihe River basin located in the arid region of northwestern China. Data from 10 clear-sky days during the growing season from April to September 2009 were used. Results show that different dry/wet edges in the surface temperature-vegetation index space directly led to the deviation of evapotranspiration (ET) estimates due to the variation of the spatial domain size. The slope and the intercept of the limiting edges are dependent on the range and the maximum of surface temperature over the spatial domain. The difference of the limiting edges between different domain sizes has little impact on the spatial pattern of ET estimates, with the Pearson correlation coefficient ranging from 0.94 to 1.0 for the 10 pairs of ET estimates at different domain scales. However, it has a larger impact on the degree of discrepancies in ET estimates between different domain sizes, with the maximum of 66 W.m(-2). The largest deviation of ET estimates between different domain sizes was found at the beginning of the growing season. |
| 出处 | Remote Sensing |
| 卷 | 5 |
| 期 | 4 |
| 页 | 1998-2013 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2072-4292 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30226]  |
| 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.. Impact of the Spatial Domain Size on the Performance of the T-s-VI Triangle Method in Terrestrial Evapotranspiration Estimation. 2013. |
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。