Dear Colleagues,

Land subsidence is representing an ongoing problem affecting millions of people worldwide. Losing surface elevation can lead to structural damage to infrastructure and buildings, natural areas, or agricultural loss. Further, the rising of salt wedges and the regression of coastlines can also cause a negative impact on climate change (sea level rise), especially in low-lying coastal areas. 

Landslides are natural hazards with a worldwide impact. Extreme natural events such as heavy rainfalls, earthquakes, volcanic eruptions, and combined factors lead to landslides, the frequency of which also increases due to humanmade activities, such as deforestation and land exploitation leading. 

Management of these natural and human-made disasters can benefit from timely and high-quality information resulting from space-borne observations in response to emergency conditions. Concentrating on developing the necessary products, tools, and methods, notably reference maps, may help in taking precautions and recovery (i.e., mitigation, preparedness, crisis, and recovery). Landslides and land subsidence data processing and analysis using different methods, approaches, and techniques may improve the precision of further risk assessment and mitigation planning. 

Radar and optical remote sensing along with GIS data are frequently used for supporting landslide risk management and monitoring due to their multispectral and textural characteristics, wide area coverage, and high spatial resolution. Satellite remote sensing data are very effective in supporting landslide and land subsidence mapping for the prevention and disaster risk reduction phase and emergency response phase. Therefore, this Special Issue invites article submissions on a wide variety of remote sensing and GIS along with data analytics and techniques implemented for monitoring land subsidence and landslides.  

Original and high-quality research and review papers by both stakeholders and researchers around the world using Remote Sensing and GIS-based innovative techniques will be accepted, focusing on topics such as:

• Subsidence
• Landslides
• land subsidence and landslide mitigation
• land subsidence and landslide recovery
• land subsidence and landslide impact
• land subsidence and landslide modeling
• Case studies

Prof. Dr. Andreas Tsatsaris
Dr. Emmanouil Economou
Prof. Dr. Christos Chalkias
Dr. Vyron Antoniou
Dr. Kleomenis Kalogeropoulos
Dr. Nikolaos Stathopoulos
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.

• remote sensing
• GIS
• land subsidence
• landslides
• modeling
• machine learning
• VGI