Integrating two layers of soil moisture parameters into the MOD16 algorithm to improve evapotranspiration estimations
文献类型：SCI/SSCI论文
| 作者 | Di S. C.; Li, Z. L.; Tang, R. L.; Wu, H.; Tang, B. H.; Lu, J. |
| 发表日期 | 2015 |
| 关键词 | remote-sensing data surface evaporation water-stress flux tower modis validation model conductance temperature region |
| 英文摘要 | To integrate soil moisture into the algorithm of the Moderate Resolution Imaging Spectroradiometer (MODIS) global evapotranspiration (ET) project (MOD16), two improvements were implemented: two layers of relative soil moisture parameters were combined with a surface resistance model; and the complementary relationship was replaced with the Penman-Monteith (P-M) method to estimate the dry soil surface evaporation. In the vegetation surface resistance model, a multiplier R-sm1 was added, and the influence of the relative soil moisture in the root zone was accounted for. In the soil surface resistance model, an empirical exponential relationship was used. To calculate the relative soil moisture parameters, soil hydraulic parameters, such as field capacity (Fc), wilting point (Wp), and saturation point (Sp), were estimated according to the soil texture information; these parameters were used as critical values to estimate the relative soil moisture. Both the MOD16 method and improved method were validated using ET flux data collected at nine flux-tower sites in the USA from 2000 to 2009. The mean absolute BIAS and the root mean square error (RMSE) decreased from 0.36 to 0.30mmday(-1) and from 1.14 to 0.97mm day(-1), respectively, after integrating the soil moisture parameters. Meanwhile, the mean correlation coefficient (R) for the nine sites increased from 0.54 to 0.70. Therefore, the improved method performed better than the MOD16 method. Furthermore, the uncertainties associated with the MODIS leaf area index (LAI) products, flux-tower measurements, soil texture, soil moisture, and model parameters were analysed. The outlook for future modifications was also discussed. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 36 |
| 期 | 19-20 |
| 页 | 4953-4971 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38423]  |
| 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 | Di S. C.,Li, Z. L.,Tang, R. L.,et al. Integrating two layers of soil moisture parameters into the MOD16 algorithm to improve evapotranspiration estimations. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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