Applications of Remotely Sensed Data in Hydrology and Climatology
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 32908
Special Issue Editors
Interests: hydrological modeling and soil erosion; climate change; remote sensing and GIS
Interests: remoet sensing; hydrometeorological extremes; vulnerability assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is mainly focused on evaluating the individual and integrated studies of hydroclimatic analysis using satellite observations. The main intention of this issue is to present precise and novel information regarding variations of the hydrological and climatic characteristics and improvement of future planning and policy. Remotely sensed data are nowadays commonly used in hydrological and climatological studies on regional or global scales. Satellite observations from passive and active sensors, onboard both geostationary and polar-orbiting satellites, collect information and data in dangerous or inaccessible areas that are very useful for hydrological and climatological studies. For monitoring of the terrestrial hydrology for various applications (rainfall, soil moisture, flood extent, surface water level, terrestrial water storage, groundwater, evapotranspiration, discharge, snow and ice, floods, etc.), great numbers of satellites observations are being used. Similarly, consistent long-term Earth satellite observations and data records are becoming indispensable for providing information for improved detection, attribution, and prediction of global climate and environmental changes, in addition to helping decision makers and society to respond and adapt to the changes and variability in a resilient fashion. Finally, remote sensing data can be very useful for improving warning, forecasting, and preparedness, being therefore also useful in hydroclimatic disaster risk management.
Special focus will be given to the hybrid methods, modeling, and recent advances in the fields of spatiotemporal variation in water and climatic changes using satellite observations. Of interest to this Special Issue are a wide range of topics including but not limited to:
- Time series analysis of hydrometeorological parameters using satellite data.
- Watershed modeling using remote sensing products or in situ observations.
- Application of satellite data on flood, evapotranspiration, snow, soil moisture, groundwater, and soil erosion studies (modeling, improvement, policy, etc.).
- Assessment of climate change impacts on extremes, like flood and drought, using satellite data.
- Assessment of climate change impacts on water resources or hydrological cycle using remote sensing products.
- Statistical and machine learning application to satellite-based hydrological and climatological data.
- Assessment of climate change impacts on available water resources and agricultural production using satellite observations.
- Assessment and improvement of hydroclimatic study at regional or global scales using remote sensing data.
Dr. Arun Mondal
Prof. Dr. Yuei-An Liou
Guest Editors
Manuscript Submission Information
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Keywords
- Climate change
- Satellite observation
- Water resources
- Global water and energy cycles
- Remote Sensing
- Water reservoir monitoring
- Cloud, temperature, humidity, precipitation, wind, etc
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