Remote Sensing and Modeling of Land Surface Water
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 43034
Special Issue Editors
Interests: remote sensing; modeling; hydrology; meteorology
Special Issues, Collections and Topics in MDPI journals
Interests: land surface modeling; hydrology; data assimilation; remote sensing; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: land–atmosphere interactions; surface water hydrology; ecosystem modeling; regional climate modeling
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; geomorphology; numerical modeling; geospatial analysis; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: radar/satellite precipitation, multi-source rainfall merging; extreme hydrological events
Special Issue Information
Dear Colleagues,
Floods and droughts, as well as other water-related hazards (e.g., landslides, mudslides) are highly associated with the dynamics of land surface water (e.g., from lakes/reservoirs, rivers, wetlands, soil layers). Monitoring and forecasting of land surface water in both urban and rural environments with sufficient accuracy and spatiotemporal resolution have been desired by many governmental, humanitarian agencies and users from different sectors (e.g., private and commercial). Remote sensing and process-based modeling are two powerful and rapidly advancing technologies that are able to provide important, timely information of land surface water. However, accurate estimation of land surface water and its changes with either remote sensing-based or process-based modeling approaches still faces grand challenges and subject to large uncertainties. These uncertainties in estimation and prediction of land surface water greatly impede the practical activities, such as disaster preparation and mitigation, decision-making, and water resources management.
Remote sensing-based and process-based modeling methods each have their own strengths and weaknesses. Therefore, effective integration of the two methods and other source information for better understanding of causation and the geophysical process of land surface water generation and movement, and thus an optimized information utilization, is urgently needed.
We solicit high quality, original research contributions from both remote sensing and modeling work that study land surface water across a variety of spatial scales.
- Remote sensing of land surface water dynamics;
- Physical or statistical modeling of land surface water dynamics;
- New methods of integrating estimates of land surface water both from remote sensing and modeling
- Data assimilation of remote sensing and in-situ observation to improve modeling of land surface water and related critical datasets
- Ensembles and probabilistic hydrometeorological modeling and forecasting of land surface water
- Coupled hyper-resolution large-scale hydrological and meteorological modeling
- Characterization of uncertainty in retrospective and operational modeled and remotely sensed results
- Interdisciplinary and integrated model and application results from areas of remote sensing, hydrology, and meteorology
Dr. Huan Wu
Dr. Sujay V. Kumar
Dr. Maoyi Huang
Dr. Sagy Cohen
Dr. Nergui Nanding
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 modeling
- Data assimilation
- Land surface water
- Uncertainty
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