Satellite Hydrological Data Products and Their Applications
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 24436
Special Issue Editors
Interests: remote sensing; data assimilation; drought; land surface model
Interests: remote sensing; modeling; hydrology; meteorology
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; snow and soil moisture; flood; drought
Special Issues, Collections and Topics in MDPI journals
Interests: hydrologic modeling and data assimilation; machine learning; food-energy-water nexus; remote sensing; uncertainty and risk analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water is crucial for living creatures on Earth and the changes of the Earth’s hydrosphere, biosphere and atmosphere. Accurately observing the regional and global water cycle is very important to hydrological, atmospheric and climatological sciences. Many government agencies have thus invested significantly in developing high quality satellite hydrological data products including precipitation, soil moisture, evapotranspiration, snow and ice, irrigation and ground water, etc. These products offer great opportunities to enhance monitoring and predicting hydroclimatic extremes such as storm, flood, drought, heatwave and fire. This special issue will highlight advancements in understanding, diagnosing, monitoring and predicting hydroclimatic extremes through the application of remote sensing hydrological data products.
We sincerely invite the authors to contribute original review and research manuscripts focused on developing remote sensing hydrological data products and investigating their roles in water and carbon cycle, as well as water and carbon imbalances under changing climate. Potential topics include but are not limited to the following:
- The development of satellite hydrological data products; Hydrological products;
- Land surface process observations;
- Calibration and validation studies;
- Fusion of in-situ and remotely-sensed hydrological data products;
- Integration of ground and remote sensing observations;
- Satellite hydrological data assimilation;
- Understanding the physical mechanism and manifestation of hydroclimatic extremes;
- Improvements in monitoring and predicting hydroclimatic extremes;
- Characteristics of hydrological variables in climate and environmental changes;
- Big data analytics for hydrological, atmospheric and climatological sciences;
- The use of machine learning for generating hydrological data products and simulation;
Dr. Xiwu Zhan
Dr. Tarendra Lakhankar
Prof. Hamid Moradkhani
Guest Editors
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 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
- Remote Sensing
- Hydrological products
- Hydroclimatic extremes
- Data assimilation
- Big data
- Machine Learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.