Remote Sensing for Landslide Investigations: Mapping, Monitoring and Forecasting

Dear Colleagues,

As the most common geological disaster, landslides are harmful and destructive, and can have a serious impact on human lives and the safety of public facilities. For the purpose of assessing and managing landslides, landslide mapping, forecasting, and monitoring are extremely crucial. By analysing and quantifying the relationship between landslides and landslide-influencing factors, landslide-prone areas can be predicted, therefore avoiding the deaths and economic losses caused by landslide disasters. Remote sensing has become one of the most often used techniques for landslide investigations due to the quick development of earth observation technology.

For landslide investigations, optical, multi/hyperspectral, and InSAR, etc., are common forms of remote sensing, and the utilisation of InSAR technology has been shown to provide a high accuracy of surface deformation for the purpose of early warning and prevention against landslide disasters. Landslide mapping and forecasting is evaluated via determining the combination of factors that have the greatest impact on the occurrence of landslides after a detailed analysis of the landslide generation conditions; consequently, the possibility of landslides occurring in a given area can be estimated.

This Special Issue aims to share any new research and advancements in the field of remote sensing applications for landslide investigations. We invite authors to submit research papers in the following categories of landslide research, as well as other relevant areas:

• Mapping and forecasting landslide hazards;
• Identification and inventory of landslides;
• Monitoring of landslide deformation.

Dr. Xueling Wu
Dr. Faming Huang
Prof. Dr. Diego Di Martire
Dr. Marco Mulas
Dr. Massimo Conforti
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.

• landslide susceptibility mapping
• landslide monitoring
• landslide forecasting
• landslide hazard assessment
• SBAS-InSAR
• risk assessment