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钟艳梅(博士生)的论文在IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING刊出
发布时间:2024-07-09     发布者:易真         审核者:任福     浏览次数:

标题: Downscaling Passive Microwave Soil Moisture Estimates Using Stand-Alone Optical Remote Sensing Data

作者: Zhong, YM (Zhong, Yanmei); Wei, ZS (Wei, Zushuai); Miao, LG (Miao, Linguang); Wang, YW (Wang, Yanwen); Walker, JP (Walker, Jeffrey P.); Colliander, A (Colliander, Andreas)

来源出版物: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  : 62  文献号: 4504919  DOI: 10.1109/TGRS.2024.3386967  Published Date: 2024  

摘要: Downscaling of passive microwave derived soil moisture (SM) using thermal-infrared remote sensing data is a common method to obtain higher resolution SM information. However, these thermal-based downscaling methods are limited by their requirement of daily reparameterization because thermal-infrared data are influenced by both the SM content and weather conditions. To overcome these limitations, this study developed a new method called downscaling method based on optical trapezoid model (DespiTe), which improves the spatial resolution of passive microwave derived SM products by using only optical remote sensing data. This method relies on the linear relationship between SM and the shortwave-infrared transformed (STR) reflectance, which is less affected by weather conditions. Thus, the DespiTe method needs to be parameterized only once for each area. By establishing statistical relationships between optical parameters (normalized difference vegetation index (NDVI) and STR) and passive microwave derived SM observations, the DespiTe method enables a higher spatial resolution SM estimation to be derived. The downscaling results from DespiTe were evaluated with aircraft and in situ observed SM data acquired during the SMAPEx-4 and SMAPVEX16 field experiments. Moreover, these results were compared with those from disaggregation based on physical and theoretical scale change (DisPATCh), a commonly used thermal-based downscaling method. A comparison against aircraft SM data showed that the DespiTe method achieved an unbiased root-mean-square error (ubRMSE) of 0.026 m(3)/m(3), which outperformed the DisPATCh method that achieved a ubRMSE of 0.059 m(3)/m(3).

作者关键词: Spatial resolution; Soil moisture; Optical sensors; Microwave theory and techniques; Optical reflection; Land surface temperature; Surface topography; Disaggregation based on physical and theoretical scale change (DisPATCh); downscaling; MODIS; optical trapezoid model (OpTraM); soil moisture active passive (SMAP); soil moisture (SM)

地址: [Zhong, Yanmei] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Wei, Zushuai] Jianghan Univ, Sch Artificial Intelligence, Wuhan 430056, Peoples R China.

[Miao, Linguang] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454150, Peoples R China.

[Wang, Yanwen] China Univ Geosci, Sch Econ & Management, Wuhan 430079, Peoples R China.

[Walker, Jeffrey P.] Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia.

[Colliander, Andreas] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA.

通讯作者地址: Wei, ZS (通讯作者)Jianghan Univ, Sch Artificial Intelligence, Wuhan 430056, Peoples R China.

电子邮件地址: yanmei_zhong@whu.edu.cn; weizushuai@whu.edu.cn; miaolinguang@home.hpu.edu.cn; wensomone@163.com; jeff.walker@monash.edu; andreas.colliander@jpl.nasa.gov

影响因子:7.5