An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration
文献类型：SCI/SSCI论文
| 作者 | Yu Q.; Zhang Y.; Zhang Y.; Liu C. |
| 发表日期 | 2006 |
| 关键词 | remote-sensing data radiometric surface-temperature energy exchange determination long-wave-radiation satellite atsr data soil-water content noaa-avhrr data vegetation index moisture status winter-wheat |
| 英文摘要 | Using remote-sensing data and ground-based data, we constructed an integrated algorithm for estimating regional surface latent heat flux (LE) and daily evapotranspiration (ETd). In the algorithm, we first used trapezoidal diagrams relating the surface temperature and fractional vegetation cover (f(C)) to calculate the surface temperature-vegetation cover index, a land surface moisture index with a range from 0.0 to 1.0. We then revised a sine function to assess ETd from LE estimated for the satellite's overpass time. The algorithm was applied to farmland in the North China Plain using Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+) data and synchronous surface-observed data as inputs. The estimated LE and ETd were tested against measured data from a Bowen Ratio Energy Balance (BREB) system and a large-scale weighing lysimeter, respectively. The algorithm estimated LE with a root mean square error (RMSE) of 50.1 W m(-2) as compared to measurements with the BREB System, and ETd with an RMSE of 0.93 mm d(-1) as compared with the measurement by the lysimeter. Sensitivity analysis showed that changing meteorological variables have some influence on LE, while variation of f(C) has little effect on LE. The test of the model in the study indicated that the improved algorithm provides an accurate and easy-to-handle approach for assessing regional surface LE and ETd. Further improvement can be achieved in the assessments if we increase the accuracy of some key parameters on a large regional scale, such as the minimum stomatal conductance and the atmospheric vapour pressure deficit. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 27 |
| 期 | 1 |
| 页 | 129-152 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22339]  |
| 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 | Yu Q.,Zhang Y.,Zhang Y.,et al. An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration. 2006. |
入库方式： OAI收割
来源：地理科学与资源研究所
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