Advances in Remote Sensing for Land Subsidence Monitoring

Dear Colleagues,

With the continuous development of global urbanization, land subsidence is widely present in large cities and plain areas with high population density. This land subsidence may cause problems such as displacement, cracks, and collapse of the land surface, damage buildings and facilities, affect urban development and utilization, and even threaten the safety of people’s lives and property. Therefore, the contradiction between urbanization development and land subsidence issues on a global scale is becoming increasingly prominent, and efficient monitoring of land subsidence has become an urgent need. Compared to traditional monitoring methods, remote sensing technology usually has advantages such as high precision, all-weather, all-day, and large-scale, and is widely used in the field of surface deformation monitoring. The use of remote sensing technology to continuously monitor the intensity, rate, time, and spatial changes of land subsidence can provide people with an understanding of the causes of land subsidence and allow them to take effective measures to reduce its harm in order to reduce the impact of land subsidence on people's lives and property safety.

Benefiting from the rapid development of remote sensing techniques (higher resolution, shorter revisit time, multiple bands and platforms, etc.), research on these techniques has been very active in the past few decades. In this context, the present Special Issue of “Advance of Remote Sensing in Land Subsidence Monitoring” aims to be a state-of-the-art collection of studies on remote sensing techniques available for land subsidence monitoring, damage mapping, mechanism exploration, and risk assessment, showing the most relevant research currently underway, highlighting future challenges, and including representative case studies.

 Topics may cover anything from the detailed analysis of land subsidence at the local subway station level to more comprehensive aims and global scales. Hence, multisource data integration (e.g., multispectral, hyperspectral, and thermal) and multiscale approaches or studies focused on land subsidence monitoring and analysis, among other issues, are welcome. Articles may address, but are not limited to, the following topics:

• Land subsidence monitoring and analysis by InSAR;
• Land subsidence monitoring and analysis by GNSS;
• Land surface damage mapping; 
• Land subsidence analysis and modeling;
• Land subsidence mechanism exploration;
• Remote sensing data processing;
• Multi-source (remote sensing) fusion method and applications;
• Land subsidence damage identification based on deep learning;
• Land subsidence prediction based on deep learning;
• Land subsidence and sea-level rise.

Dr. Xiaoqiong Qin
Dr. Wei Tang
Dr. Xuguo Shi
Dr. Cheng Zhong
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.

• land subsidence
• remote sensing
• deformation monitoring
• InSAR
• GNSS
• monitoring and prediction
• damage mapping
• deep learning