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Satellite Remote Sensing Applications in Hydrological Modelling
Submission Deadline: June 30, 2022 (Open) Submit Now
Mehdi Khaki, PhD
School of Engineering, University of Newcastle, Callaghan, Australia
Research Interests: Satellite remote sensing; Data assimilation; Geodetic observation
About This Topic
Satellite remote sensing with a wide range of platforms and on-board sensors has changed our view of Earth and its hydrology remarkably. They offer various type of observations on large scales and now covering more than decades of measurements. The provided spatial and temporal resolutions have revolutionised the way we monitor hydrological processes. Satellite datasets have also provided valuable information over regions with no in-situ network or sparse ground-based measurements. The application of satellite datasets for studying hydrological components has been successfully applied in various spatiotemporal scales. With a temporal resolution of one day to a few weeks and spatial resolution of metres to a few hundred kilometres, satellite products have been remarkably helpful for studying hydrological variations. They can be used to improve and calibrate models at regional, basin-scale, and global scales. Multiple satellite datasets can also be applied separately or simultaneously to improve model simulations by providing measurements of real phenomena. Therefore, there is a great potential in using satellite remote sensing data for hydrological modelling and the topic has attracted a lot of attention. This special issue aims at publishing both innovative and practical solutions in this context. High-quality and original submissions are encouraged to investigate the application of satellite remote sensing in hydrological modelling and also to discuss the current status and challenges in this issue.
Satellite remote sensing; Hydrological modelling; Land surface modelling; Data assimilation; Hydrological model calibration
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