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
第一作者： Ma, Jiajia
作者： Ma, Jiajia;Liang, Yueji;Ren, Chao;Yang, Mengmeng;Huang, Yibang;Liang, Caiwen;Guo, Xi;Cheng, Bo;Hu, Xinmiao
作者机构：
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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