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Improvement of vegetation water content estimation over the Tibetan Plateau using field measurements
Han, Menglei; Lu, Hui; Yang, Kun; Shi, Jiancheng
通讯作者Lu, H (通讯作者)
发表日期2018
起始页码5
结束页码9
英文摘要Vegetation water content (VWC) plays a significant role in the retrieval of soil moisture using microwave remote sensing, which further supports applications such as weather forecasting, flood prediction, and landslide early-warning. In the current SMAP algorithm, the commonly used vegetation index (i.e., the NDVI) was utilized to determine the VWC. This study evaluates the accuracy of SMAP VWC product, together with other Jackson's algorithm using NDVI and Paloscia's method using LAI. Comparing to ground observation, SMAP overestimates VWC, while Jackson's method, in which stem factor is not included, performs better than other two. By using Jackson's method, we found the accuracy of soil moisture retrieved from SMAP could be improved.
关键词MICROWAVE EMISSIONSOIL-MOISTUREMONITORING VEGETATIONMODEL
英文关键词SMAP; VWC; soil moisture; stem factor; Tibetan Plateau
语种英语
WOS研究方向Engineering ; Remote Sensing
WOS类目Engineering, Electrical & Electronic ; Remote Sensing
WOS记录号WOS:000449522800002
来源期刊2018 IEEE 15TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD)
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259257
推荐引用方式
GB/T 7714
Han, Menglei,Lu, Hui,Yang, Kun,et al. Improvement of vegetation water content estimation over the Tibetan Plateau using field measurements[J]. 中国科学院青藏高原研究所,2018.
APA Han, Menglei,Lu, Hui,Yang, Kun,&Shi, Jiancheng.(2018).Improvement of vegetation water content estimation over the Tibetan Plateau using field measurements.2018 IEEE 15TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD).
MLA Han, Menglei,et al."Improvement of vegetation water content estimation over the Tibetan Plateau using field measurements".2018 IEEE 15TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD) (2018).
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