Precipitation, Flood and Earthquake Events Monitoring, Simulation, Analysis and Early Warning by Advanced Environmental Remote Sensing and AI
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 42
Special Issue Editors
Interests: microwave remote sensing; microwave links; microwave radar; wireless communication; signal processing; environmental monitoring; unmanned aerial vehicles; sensors network; energy harvesting; atmospheric science
Interests: artificial intelligence in remote sensing
Special Issue Information
Dear Colleagues,
Climate change has led to an increase in the frequency of natural disasters and extreme weather events, such as heavy precipitation, flooding, and earthquakes, along with their impacts, raising significant concern.
The accuracy of short-term heavy rainfall forecasting remains low, resulting in unreliable early warnings for extreme rainstorms. The accurate and high-resolution monitoring of the occurrence location, timing, intensity, and temporal–spatial variation trends in heavy rain is essential for realizing more detailed and precise short-term heavy rain forecasting. Scientific experimental observations, combined with systematic analysis, help to reveal the mechanisms behind disaster-causing short-term heavy rainfall.
The environment for underground space disasters is complex, with hidden inducing factors and difficulties in obtaining "black box" information during disasters. New methods for obtaining high-precision information are needed for studying the causes and mechanisms of urban underground space disasters (flooding, subsidence, and collapse) under changing environments.
Advanced technologies, such as microwave detection, remote sensing, radar, and optical fiber sensing, can be utilized to construct an integrated sky–ground and underground three-dimensional monitoring network.
This Special Issue aims to include papers which discuss, but are not limited to, the following topics:
- Advances and new findings that enhance the accuracy of precipitation monitoring and short-term precipitation nowcasting;
- Exploring high-resolution fiber-optic acoustic sensing equipment and imaging technologies for geophysical exploration;
- Research on physical models and numerical methods for flood prediction, simulation, monitoring, analysis, and early warning;
- Disaster monitoring and disaster mitigation and avoidance simulation;
- The advancement of environmental remote sensing and AI technologies and their applications in disaster prevention and management.
Prof. Dr. Congzheng Han
Dr. Jiamou Liu
Prof. Dr. Hongbin Chen
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
- radar
- satellite
- microwave links
- AI and algorithms
- flood and drought prediction, simulation, modeling, and analysis
- short-term precipitation forecasting
- precipitation monitoring
- earthquake prediction and monitoring and geophysical exploration
- technology for disaster information acquisition
- disaster monitoring and disaster mitigation and avoidance simulation
