Pro-orbit Sar Interferometry Datum Transformation And Data Fusion Techniques Applied To Land Subsidence Research

In the context of global climate change, regional rapid economic development, dramatic increasing of groundwater exploitation, which induced the series of land subsidence. According to statistics, there are 95 cities which occurred land subsidence in China, the total area reached 48,655 square kilometers. Land subsidence is a non-permanent loss of environment and resources, which is geological disaster caused by the destruction of the geological environment system. It can induce ground subsidence, cracks, and other environmental disasters, which will form disaster chain formation, having a serious threat to urban infrastructure, high-speed railway and other major projects; it will be the major environmental problems restricting the regional sustainable development.InSAR technology is a new method for earth observation has developed in the past two decades. Compared with other conventional monitoring methods like leveling, InSAR technology has a wide range of high time and space resolution of details of surface deformation and has millimeter-level monitoring accuracy. However, when monitoring the regional land subsidence, high-resolution SAR narrow width (8-10km) can not satisfy the regional scale monitoring requirements. While linear features (such as inter-city rail) throughout the multiple SAR images, can not get fully realized monitoring results in single track. We have to fusion the adjacent track SAR data in order to obtain large-scale land subsidence monitoring information.This paper takes Beijing and Tianjin as typical demonstration research area, selects the 7 years between 2003-2009 Envisat satellite ASAR data. Using the stepwise regression assessment analysis method and equations of multi-track data fusion system based on the distance of PS points, we transformed the reference point for monitoring results of the adjacent track SAR data and mosaicd the adjacent sheet correctly. Fusion Beijing and Tianjin area deformation information between 2003-2009 time series, obtain Beijing-Tianjin region of large-scale deformation monitoring results, and analysis the spatial distribution characteristics and.genetic mechanismof land subsidence of Beijing and Tianjin.