Retrieval of Surface Soil Moisture by Multi-Source Remote Sensing Images
Description
This book focuses surface soil moisture inversion through analysis of different remote sensing data sources. The main content includes background, visible light, thermal infrared and SAR remote sensing soil moisture inversion algorithm, and soil moisture assimilation method of multi-source remote sensing data and hydrological process model. It combs algorithms of soil moisture retrieval from remote sensing data by case studies, which can be used as reference for graduate students and researchers.
The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
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Persons
Dr. Fan Yu received the B.A degree from the University of Wuhan, China, and the Ph.D. degree in Photogrammetry and remote sensing from Institute of Remote Sensing Applications Chinese Academy of Sciences, Beijing, in 2004 and 2010, respectively. He is the professor of the College of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture. And his research areas of interest include soil moisture monitoring by remote sensing, inversion of vegetation parameters, and environmental monitoring. He has authored several books and published numerous papers and reports on these subjects.
Lin Yuzhe received his Bachelor of Engineering degree from Shanxi Institute of Technology in 2025. He is currently a postgraduate student at the School of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture. His main research interests include remote sensing image processing, vegetation parameter extraction, soil moisture monitoring, and environmental monitoring. He is mainly engaged in research related to the field of remote sensing.
Jian Wang received his bachelor's degree from North China Institute of Aerospace Engineering in 2025. He is currently a master's student at the School of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture. His research interests include soil moisture monitoring, vegetation parameter inversion, and environmental monitoring using remote sensing technology, and he is mainly engaged in remote sensing-related research.
Content
Introduction.- Monitoring sensors and data sources.- Principle and method of retrieving surface soil moisture from multi-source remote sensing.- Monitoring of surface soil moisture change based on tu-wien algorithm.- Inversion of surface soil moisture by integrating SSM and tu-wien methods.- Interpolation method of soil moisture based on signal superposition theory.- Prediction method of soil moisture time series data based on Improved BP neural network.- Inversion model of surface soil moisture under vegetation cover.- Study on soil water assimilation method based on multi-source remote sensing data and hydrological process model.