Study on Hydrological Hazards Based on Multi-source Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 23
Special Issue Editors
Interests: hydrological modeling; land surface modeling; remote sensing; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: spatio-temporal data modelling; social computing; urban hydrology; flood exposure and vulnerability assessment
Special Issues, Collections and Topics in MDPI journals
Interests: urban hydrology; radar hydrology; precipitation remote sensing; multi-hazards; weather forecasting; geographical information science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Amidst intensifying global concern over the growing prevalence of hydrological hazards, our Special Issue aims to offer a cutting-edge exploration of this dynamic field. Drawing upon the prowess of multi-source remote sensing techniques, we aim to provide a comprehensive overview of the current research status and prospects in this domain. The current research landscape in this area is rich and diverse, leveraging advancements in satellite imagery, unmanned aerial vehicles (UAVs), and ground-based sensors. These multi-source remote sensing platforms offer unprecedented spatial and temporal resolutions, enabling us to monitor, assess, and predict hydrological hazards with unprecedented accuracy.
This Special Issue aims to gather leading researchers from the fields of remote sensing, hydrology, geospatial analysis, and disaster management to share their expertise and insights. By promoting interdisciplinary collaborations, we aim to further advance the scientific understanding of hydrological hazards and develop more effective management strategies. We believe that this Special Issue will serve as a valuable resource for researchers seeking to address the pressing challenge of hydrological hazards in today's changing climate. We invite you to contribute original research, reviews, and case studies to this endeavour.
Dr. Jun Zhang
Dr. Shaonan Zhu
Dr. Qiang Dai
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
- multi-source remote sensing
- hydrological hazards
- flood monitoring
- drought assessment
- landslide risk
- remote sensing data fusion
- machine learning
- climate change
