Remote Sensing for Geo-Hydrological Hazard Monitoring and Assessment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 49
Special Issue Editors
Interests: optimal estimation; wind energy; hydrological modeling; system modeling; surface hydrology; land surface modeling; numerical weather prediction; data assimilation; climate modeling; meteorology
Special Issue Information
Dear Colleagues,
In this volume, we (Chief Guest Editor Diandong Ren and colleagues at Remote Sensing) invite submissions of remote sensing research relevant to geo-hydrological hazard monitoring and assessment.
Natural hazards in Earth’s environments are always closely linked to anomalies in the hydrological cycle. These include, but are not limited to, droughts (with agricultural consequences) and flash floods (which affect rural, as well as metropolitan, regions); debris flows/landslides; and even tectonic earthquakes. Remote sensing plays an ever-increasing role in improving our understanding of Earth’s system hydrology.
Regarding research method, this volume welcomes new (e.g., machine learning), as well as established, statistical methods. Applications of remote sensing methods in documenting global and regional endemic natural hazards are especially welcome.
In addition to its pedagogic value, this volume will represent a collection of papers showcasing actionable scientific outcomes for decision makers. As Guest Editor, I will assist the authors in refining their papers and improving the quality of their contribution.
For this Special Issue, we would like to gather cutting-edge research investigating the following topics from the perspective of remote sensing:
- Extreme precipitation with atmospheric rivers;
- Mudslides/landslides;
- Tectonic earthquakes around the world and their connection with large-scale hydrological cycles.
Dr. Diandong Ren
Prof. Dr. Mervyn Lynch
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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
- geo-hydrological hazards
- disaster prediction
- extreme precipitation
- flash floods
- mudslides/landslides
- earthquakes
