Shanghai maglev is a very fast traffic tool, so it is very strict with the
stability of the roadbed. However, the ground subsidence is a problem in
Shanghai because of the poor geological condition and human-induced factors.
So it is necessary to monitor ground subsidence in the area along the
Shanghai maglev precisely and frequently. Traditionally, a precise levelling
method is used to survey along the track. It is expensive and time
consuming, and can only get the ground subsidence information on sparse
benchmarks. Recently, the small baseline differential SAR technique plays a valuable part in monitoring ground subsidence, which can extract
ground subsidence information with high spatial resolution in a wide area.
In this paper, L-band ALOS PALSAR data and C-band Envisat ASAR data are used
to extract ground subsidence information using the SBAS method in the Shanghai
maglev area. The results show that the general pattern of ground subsidence
from InSAR processing of two differential bands of SAR images is similar.
Both results show that there is no significant ground subsidence on the
maglev line. Near the railway line, there are a few places with subsidence
rates at about -20 mm/y or even more, such as Chuansha town, the junction of
the maglev and Waihuan road.
This journal is a forum for research articles in the area of application of geodesy to engineering and other natural sciences. It publishes innovative contributions on sensor developments, multi-sensor systems and sensor data fusion focusing on the capture of georeferenced data. The scope covers various other topics related to applied geodesy, such as optical and microwave 3-D measurement techniques and other sensors for geotechnical measurements.