Geomatic spatial information technologies (GSI) consist of the integration of global navigation satellite systems (GNSS), remote sensing (RS), geographic information systems (GIS), and other location-based services (LBS), in which the foundations and core methods and models are all related to mathematical problems.

In recent years, many interesting mathematical problems in GSI technology have been discussed and solved. However, with the rapid development of GSI techniques, more efficient, accurate, and reliable methods, models, and theories must be developed. For example, as more GNSSs are developed worldwide, multi-GNSS technology is increasingly important, leading to problems in high-dimension ambiguity and mixed data processing. In addition, with high growth rates and diversified spatial information collected in geomatic areas, mathematical analysis technologies, such as GIS spatial analysis and geomatics big data processing, also need to be further developed. Common mathematical problems in GNSS/RS/GIS data processing, such as nonlinear ill-posed inverse problems with information missing, multi-source coupling constraints, and computable modeling, need a new mathematical mode to enable stronger analysis and estimation ability.

The aim of this Special Issue is to bring together original research and review articles with a focus on the mathematical problems of GNSS/RS/GIS techniques as well as their applications in engineering. Submissions including mathematical theory, advanced mathematical modeling, and various mathematical methods related to geomatic spatial information technologies in different fields, such as intelligent navigation and high-precision fusion of remote sensing data, are welcome.

Potential topics include but are not limited to the following:

• Advanced mathematical methods in GNSS ambiguity resolution and parameter estimation
• Advanced mathematical methods/models in GNSS data pre-processing
• Precise satellite orbit determination with the aid of advanced mathematical models
• Mathematical problems of remote sensing image analysis and interpretation
• Mathematical methods of multi-source remote sensing data fusion
• Mathematical programming problems in GIS spatial analysis and its applications
• Typical ill-posed problems of GNSS/RS/GIS data processing
• Efficient algorithms/methods related to geomatics big data processing