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

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 resol...

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Main Authors: Siyu Wang, Kexin Lv, Jun Ma, Qun’ou Jiang, YuFei Ren, Feng Gao, Nizami Syed Moazzam
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Indicators
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Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24013347
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author Siyu Wang
Kexin Lv
Jun Ma
Qun’ou Jiang
YuFei Ren
Feng Gao
Nizami Syed Moazzam
author_facet Siyu Wang
Kexin Lv
Jun Ma
Qun’ou Jiang
YuFei Ren
Feng Gao
Nizami Syed Moazzam
author_sort Siyu Wang
collection DOAJ
description 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.
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spelling doaj-art-d4af641d737547d49d2fa9df9d462fc62024-12-16T05:35:21ZengElsevierEcological Indicators1470-160X2024-12-01169112877A 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 PlateauSiyu Wang0Kexin Lv1Jun Ma2Qun’ou Jiang3YuFei Ren4Feng Gao5Nizami Syed Moazzam6School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, ChinaBeijing North-star Technology Development CO.,LTD., Beijing 100044, ChinaSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, ChinaSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Soil and Water Conservation and Desertification Prevention, Beijing Forestry University, Beijing 100083, China; Corresponding author at: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Soil and Water Conservation and Desertification Prevention, Beijing Forestry University, Beijing 100083, China; Corresponding author at: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaDepartment of Forestry& Wildlife Management, The University of Haripur, Khyber Pakhtunkhwa 22600, PakistanAccurate 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.http://www.sciencedirect.com/science/article/pii/S1470160X24013347Soil moistureData fusionRemote sensingQinghai-Tibet Plateau
spellingShingle Siyu Wang
Kexin Lv
Jun Ma
Qun’ou Jiang
YuFei Ren
Feng Gao
Nizami Syed Moazzam
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
Ecological Indicators
Soil moisture
Data fusion
Remote sensing
Qinghai-Tibet Plateau
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Soil moisture
Data fusion
Remote sensing
Qinghai-Tibet Plateau
url http://www.sciencedirect.com/science/article/pii/S1470160X24013347
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