Remote Sensing for Hydrological Monitoring and Disaster Risk Assessment
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".
Deadline for manuscript submissions: closed (9 November 2023) | Viewed by 2074
Special Issue Editors
Interests: hydrological modelling; water environment modelling; remote sensing; water resources satellite
Special Issue Information
Dear Colleagues:
It is challenging to manage water resources and related disasters, particularly in ungauged areas. Remote sensing has the advantages of large area coverage and relatively inexpensive and easy collection, helping to compensate for the deficiencies of the traditional monitoring system. Therefore, promoting the theoretical basis and practical application of remote sensing in hydrological monitoring and disaster risk assessment is urgent and necessary.
This Special Issue focuses on the identification, evaluation, and prediction of hydrological variables and water-related disasters, with a special focus on (i) the acquisition and decoding of high-resolution remote sensing data for a variety of hydrologic variables (e.g., water level, flow rate, and velocity); (ii) the correction technology of remote sensing data, the identification of flood disasters (e.g., inundated area, disaster-bearing body distribution, and disaster-resistant ability) for risk assessment; and (iii) new satellites or satellites constellation plans for studying water resources and disasters.
In this Special Issue, we aim to leverage the modernization of hydrological monitoring and the ability to acquire data based on remote sensing, facilitating the evaluation and prediction of hydrological processes and related disasters.
We welcome original research articles and reviews including (but not limited to) the following topics:
- Production of high-resolution water-related remote sensing data.
- Inversion method of hydrological variables based on remote sensing.
- Method of identifying hydrological variables and water-related disasters.
- Correction technology of hydrological remote sensing.
- Real-time prediction of hydrological variables and disasters based on remote sensing.
- Assessment of water resources and disaster risk based on remote sensing.
- New satellites or satellite constellation plans for water resources and disasters.
We look forward to receiving your contributions.
Dr. Yanjun Zhang
Prof. Dr. Zhiguo Pang
Guest Editors
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Keywords
- remote sensing
- hydrological remote sensing
- disaster remote sensing
- water resources satellite
- real-time monitoring
- disaster risk assessment
- water resources assessment
- satellites constellation plans
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