- Title
- Satellite remote sensing in hydrological data assimilation
- Creator
- Khaki, Mehdi
- Relation
- https://link.springer.com/book/10.1007/978-3-030-37375-7
- Publisher
- Springer Nature
- Resource Type
- book
- Date
- 2020
- Description
- This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.
- Subject
- data assimilation; hydrology; model-data fusion; satellite remote sensing; Kalman filters; data-driven; land surface system; water storage analysis; remote sensing/photogrammetry
- Identifier
- http://hdl.handle.net/1959.13/1437878
- Identifier
- uon:40495
- Identifier
- ISBN:9783030373740
- Language
- eng
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