Remote Sensing for Streamflow Simulation II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3254
Special Issue Editors
Interests: urban hydrology; radar hydrology; precipitation remote sensing; multi-hazards; weather forecasting; geographical information science
Special Issues, Collections and Topics in MDPI journals
Interests: stochastic hydrology; water resources modeling; Bayesian modeling; time series analysis and forecasting; climate change; hydro-meteorology; machine learning; weather forecasting; risk analysis; big data analysis; soil moisture modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As one of the most important hydrological variables, streamflow information is an important component that is commonly required to evaluate how much water is available in different locations, for both human societies and natural ecosystems. The impacts of climate change and anthropogenic processes on the available water have been an especially important issue in certain areas, but the lack of effective models and long-term streamflow observation data and their associated uncertainties makes it challenging to assess the impacts in many parts of the world. The purpose of the proposed Special Issue on "Remote Sensing for Streamflow Simulation II" is to present an integrated approach to streamflow modelling that incorporates and combines new hydro-meteorological information including satellite-based, airborne and ground-based observations, in order to foster a scientific framework for better understanding the impact of climate and social-environmental change on water resources.
Topics to be addressed include but are not limited to the following:
- Streamflow observation using active and passive remote sensing techniques.
- Spatial and temporal downscaling of large-scale remote sensing observations for local streamflow simulation.
- Use of in situ and remote sensing observations of hydrologic processes for a better simulation of streamflow.
- The development and use of physically or statistically based models (or combined models) to simulate streamflow, dealing with their associated uncertainties—especially hydrological models using satellite-based products.
- Data fusion/assimilation of streamflow between remote sensing observation and hydrological model simulation.
- Remote sensing of precipitation, soil moisture and its relationship with streamflow under changing climate.
Dr. Qiang Dai
Dr. Hyun-Han Kwon
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- streamflow simulation
- remote sensing observations
- hydrologic modeling
- uncertainty downscaling
- climate change
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