A synchronous retrieval method of vegetation water content and soil moisture based on GNSS-IR and multi-source data fusion
文献类型： 外文期刊
作者： Ma, Jiajia 1 ; Liang, Yueji 1 ; Cheng, Bo 2 ; Hu, Xinmiao 3 ; Ren, Chao 1 ; Yang, Mengmeng 1 ; Huang, Yibang 1 ; Liang, Caiwen 1 ; Guo, Xi 1 ;
作者机构： 1.Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin, Peoples R China
2.Zhejiang Engn Survey & Design Inst Grp Co Ltd, Ningbo, Peoples R China
3.Chinese Acad Agr Sci, Inst Grassland Res, Hohhot, Peoples R China
关键词： GNSS-IR; vegetation water content; soil moisture; Stacking algorithm; synchronous retrieval
期刊名称：JOURNAL OF SPATIAL SCIENCE （ 影响因子：1.7； 五年影响因子：1.6 ）
ISSN： 1449-8596
年卷期： 2025 年 70 卷 1 期
页码：
收录情况： SCI
摘要： Vegetation Water Content (VWC) and Soil Moisture (SM) are closely related. To overcome the limitations of the Global Navigation Satellite System Interferometry Reflectometry (GNSS-IR) for point-based monitoring, this research aimed at developing a synchronous retrieval method for VWC and SM by integrating GNSS-IR and multi-source data. The method incorporates band synthesis, optimized modelling, and a Stacking algorithm. The model produced Normalized Microwave Reflectance Index (NMRI) and SM products consistent with MODIS NDVI, LAI, and NASA-USDA SM data in both time and space. The study provides a novel approach for the synchronous retrieval of VWC and SM and facilitates in-depth exploration of their interaction mechanisms.
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