Special Issue "Microwave Remote Sensing for Hydrology"
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 March 2020) | Viewed by 20527
Interests: data assimilation for land surface processes; microwave remote sensing; generation of satellite-based Climate Data Records; land surface reanalysis; climate change and socio-economic impacts; weather forecasting
Interests: soil moisture; rainfall; river discharge; flood; landslide; drought; water resources management; agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue in Hydrology: Floods and Landslide Prediction
Special Issue in Remote Sensing: Satellite Soil Moisture Validation and Applications
Special Issue in Remote Sensing: Remote Sensing for Drought Monitoring and Forecasting
Special Issue in Remote Sensing: Remote Sensing of Water Cycle: Recent Developments and New Insights
Special Issue in Remote Sensing: Irrigation Estimates and Management from EO Data
Interests: earth observation; microwave remote sensing; estimation of soil moisture and vegetation biogeophysical parameters; development of multi-sensor techniques for enhanced retrievals with focus on agriculture, forestry, wildfire prediction, extreme detection and climate studies
The current understanding of the Earth’s global hydrological cycle has benefited from advances in active and passive spaceborne microwave sensors and techniques. The most recent availability of microwave data from the Copernicus Sentinel-1 mission adds to other innovative data, such as those from the Advanced SCATterometer (ASCAT), the Soil Moisture and Ocean Salinity (SMOS), the Advanced Microwave Scanning Radiometer (AMSR-2), or the Soil Moisture Active Passive (SMAP) missions. They provide a unique wealth of multi-sensor multi-frequency microwave data suited for hydrological studies. For instance, they are able to provide timely information of key input parameters for hydrological simulations such as soil moisture and the snow state.
Data assimilation techniques have been able to integrate the above key microwave data and point-based land surface observations into hydrological models in a physically consistent manner, either by simply adjusting the simulated hydrological variable by a numerical model, or by calibrating model parameters governing the water distribution and exchange among different soil layers, which are difficult to define at large spatial scales.
In this Special Issue, we welcome original research and case studies focusing on recent advances in microwave remote sensing for hydrologic research and applications. Contributions may include but are not limited to:
- Data assimilation techniques for hydrological studies using data from microwave sensors;
- The synergetic use of active and passive microwave data to improve the characterization of the water state of the soil;
- Case studies showing the potential benefit brought by microwave data into hydrological research;
- The development of coupling schemes aiming at merging remote sensing data and land surface models for hydrologic forecasting;
- Innovative studies using the potential of Copernicus missions to enhance hydrological applications;
Dr. Joaquín Muñoz Sabater
Dr. Luca Brocca
Dr. Maria Piles
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 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.
- microwave sensors
- hydrological forecasting
- hydrological applications
- data assimilation
- soil moisture
- snow state
- multi-sensor synergy