RESEARCH ON THE CRUSTAL DEFORMATION CHARACTERISTICS IN BEIJING USING INSAR AND GNSS TECHNOLOGY

Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small and considered stable. After opening, the overall stability of the railway section was good. The main deformation areas are concentrated in the areas where railway lines turn and geological disasters are concentrated. In order to ensure the safety of railway operation, it is necessary to carry out long-term time series observation along the Qinghai–Tibet Railway.

The work represents one of the first attempt to extract damaged buildings through the fusion of three types of data with different features at the scale of object. It addresses multivariate regression methodologies, and discusses the potentials of different features for application in this field of damage detection.

This paper focused on the indirect economic losses caused by the Wenchuan earthquake in 2008 and evaluated the progress of restoration and reconstruction based on nighttime light images. Results show that the GDP has a quadratic function relationship with the total nighttime lights under normal conditions, and the economy of the disaster area after the earthquake showed unstable and turbulent development. This research provides a basis for macro-control of earthquake recovery and reconstruction.