A multi-source data fusion method to retrieve soil moisture dynamics and its influencing factors analysis in the ecological zone of the eastern margin of the Tibetan Plateau
Siyu Wang , Kexin Lv , Jun Ma , Qun’ou Jiang , YuFei Ren , Feng Gao , Nizami Syed Moazzam
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引用次数: 0
Abstract
Accurate soil moisture monitoring is crucial for understanding the role of hydrological processes in the climate system within the ecological region in the Eastern Margin Ecotone of the Qinghai-Tibetan Plateau (EMETP). This study proposed a data fusion method to acquire soil moisture with high resolution (1 km) and more accuracy. This study combines the fine-scale (1 km) spatial details of soil moisture obtained from active microwave data with the broader-scale (5 km) soil moisture information derived from passive microwave data in both V-polarization and H-polarization modes. The results showed that the fusion results based on V-polarization data were better than that of H-polarization data. The root mean square error (RMSE) is 0.0410, and the correlation coefficient is 0.8809 With the Geodetector, we found that the spatial pattern of soil moisture in the EMETP was influenced by multiple interacting factors. Among these, the interactions between the Normalized Difference Vegetation Index (NDVI) and elevation, as well as NDVI and soil type, showed the strongest influence on the spatial distribution of soil moisture. In addition, the brightness temperature and root mean square height of the surface were the most influential parameters for the retrieval model based on SMAP data and sentinel-1 data, respectively. The conclusions provide a valuable reference for the water resources estimation and management in the region of the Tibetan Plateau.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.