Retrieval of Surface Soil Moisture by Multi-Source Remote Sensing Images
Methods and Case Studies
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Beschreibung
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.
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.
Presents an integral framework for soil moisture inversion by multi-source remote sensing data Shares cases in different areas by optical remote sensing, microwave data and assimilation of hydrological model Explains how to obtain a wide range of surface parameters (soil and vegetation) and design experiments and models
Autor*in
Fan Yu
Themen in »Retrieval of Surface Soil Moisture by Multi-Source Remote Sensing Images«
Hydrological model soil moisture assimilation surface interpolation BP neural network Tu Wien methods soil moisture inversion microwave remote sensing