A Simple Method for Soil Moisture Determination From LST-VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data
文献类型：SCI/SSCI论文
| 作者 | Zhang D. J.; Tang, R. L.; Tang, B. H.; Wu, H.; Li, Z. L. |
| 发表日期 | 2015 |
| 关键词 | Nonlinear interpolation soil moisture thermal infrared remote sensing universal triangle method land-surface model southern great-plains dryness index tvdi vegetation index triangle method evapotranspiration estimation regional evapotranspiration satellite imagery air-temperature energy fluxes |
| 英文摘要 | Soil moisture is an important parameter that is widely used for drought monitoring and characterizing environment. Based on the universal triangular space constructed by the normalized land surface temperature (LST) and normalized difference vegetation index (NDVI), this study proposes a simple method to estimate surface soil moisture (SSM) using a nonlinear interpolation function with theoretical limiting edges derived from the energy balance principle. As an interpolation function, the quadratic polynomial equation is used to reveal the relationships among soil moisture, LST, and fractional vegetation cover (FVC), which are determined and validated by the simulation data from the Noah land surface model (Noah LSM). The developed function is much simpler than Carlson's function because the number of coefficients is reduced by half. The proposed method is applied to the North China Plain. The estimation results are also validated by the in situ measurements of soil water content at 10 and 20 cm depths at the Yucheng meteorological station; the corresponding biases are as high as 0.02 and 0.12 m(3)/m(3), respectively, and the root-mean-square errors (RMSEs) are approximately 0.04 and 0.10 m(3)/m(3), respectively. The results indicate that this method has high-estimation accuracy and overcomes the weakness induced by the effects of atmospheric conditions on different days. This study provides insight into the comparable soil moisture estimation from remotely sensed data on a regional scale. |
| 出处 | Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 卷 | 8 |
| 期 | 2 |
| 页 | 638-648 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1939-1404 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38525]  |
| 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 | Zhang D. J.,Tang, R. L.,Tang, B. H.,et al. A Simple Method for Soil Moisture Determination From LST-VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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