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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