Special Issue "Silk-Road Disaster Monitoring and Risk Assessment Using Remote Sensing and GIS"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (20 March 2020).
Interests: information extraction; uncertainty assessment; image processing and analysis; spatial statistics; classification
Special Issues and Collections in MDPI journals
Interests: the application of spatial analysis techniques, including geostatistics, compositional data analysis and Geographical Information Science (GIS), to soil geochemistry, environmental and criminal forensics, human health, slope instability, airborne geophysics and weathering studies
Interests: Remote Sensing; Land Cover; Super-resolution Mapping; Sub-pixel Information; Water Resource; Forest Disturbance; Multi-temporal Analysis; Data Fusion
The Belt and Road Initiative (BRI), which calls for cooperative economic, political, and cultural exchange at the global level along the ancient Silk Road, covers more than 70 countries and 4.4 billion people (63% of the world). Due to the active underlying geological structure and climate changes, natural hazards (e.g., landslides, flooding, drought, and storm surges) occur frequently along the belt and road, bringing great challenges to the areas along the BRI.
On May 11–12, 2019, the International Conference on Silk-Road Disaster Risk Reduction and Sustainable Development (SiDRR Conference 2019), which was co-hosted by the Chinese Academy of Sciences, the Chinese Association for Science and Technology, the United Nations Environment Program, the United Nations Office for Disaster Risk Reduction, and the Alliance of International Science Organizations (ANSO), was held in BeiJing, China. More than 780 experts and scholars from over 40 countries and regions exchanged ideas on how to make the areas along the Silk Road more sustainable and disaster-proof. Participants of the SiDRR Conference 2019 have reached a consensus on disaster risk reduction (DRR) and sustainable development through the announcement of the Beijing Statement, which is a scientific, technical, and political dialogue for the better implementation of Sendai Framework for Disaster Risk Reduction 2015–2030 and 2030 Agenda for Sustainable Development.
It is well recognized that remote sensing can provide accurate and timely observations and measurements of disasters across a range of spatial and temporal scales, and has become one of the most important technologies for disaster monitoring and risk assessment. The purpose of this Special Issue is to publish papers by scientists currently working on remote sensing and GIS for disaster monitoring and risk assessment in BRI. The topics include remote sensing and GIS techniques for natural and anthropogenic disaster monitoring, modelling, analyzing, assessing, predicting, and preventing. Through this Special Issue, we are hoping to encourage academic exchanges on methods, theories, models, strategies, etc., related to remote sensing and GIS for disaster reduction and sustainable development in the BRI.
Prof. Yong Ge
Dr. Jennifer Mckinley
Prof. Feng Ling
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 papers will be 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 2200 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.
- One belt one road;
- Natural and anthropogenic disaster;
- Remote sensing monitoring;
- Data acquisition and interpretation;
- Risk assessment.