Chairs: Prof. Hanssen Ramon (Delft University of Technology), Assoc. Prof. Fengming Hu (Fudan University, Assoc. Prof. Mengshi Yang (Yunnan University)

Abstract:

Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) is a highly effective Earth observation technique that can accurately measure ground deformation over large areas. Researchers have applied MT-InSAR to monitor ground and infrastructure deformation in urban areas, particularly in relation to land reclamation, underground construction, and groundwater extraction. The use of satellite-based SAR sensors to monitor deformation has greatly improved in recent years, thanks to the availability of multiple sensors and the development of advanced data processing and analysis procedures.

This Special Issue focuses on InSAR algorithms and applications for the urban environment, specifically those related to multi-temporal data. This includes new algorithms and procedures for data processing, results based on new types of SAR data, and the development of new applications for monitoring urban deformation. The topics of interest include, but are not limited to: 

Developing new algorithms for multi-temporal InSAR to monitor deformations over urban areas;

Obtaining multi-temporal InSAR results using new types of data, such as polarimetric SAR data;

Exploring innovative applications of multi-temporal InSAR to monitor urban deformations;

Applying deep learning approaches to multi-temporal InSAR data processing and results interpretation.