129 
- apjg 
I 
learly 
gshan 
r 9" E 
1 km 
jnately, 
t failed 
es. The 
cult for 
nly one 
ihnique 
-InSAR 
(a)Coherence 
Figure 5 The interferogram generated using the two ASAR images. 
In the differential interferogram (b), we can see the clear stripe 
represents 28 mm displacement. 
5. CONCLUSION 
Differential SAR interferometry has shown a high performance 
in mine subsidence monitoring in Tang Shan, with the aid of 
GIS tools, mine subsidence regions and the magnitude of 
subsidence has been extracted. In near future, the Permanent 
Scatterers (PS) technique will be used to improve the accuracy 
of InSAR and D-InSAR in monitoring the surface subsidence. 
REFERENCES 
Massonet, D., K.L. Feigl, 1998. Radar Interferometry and its 
application to changes in the earth’s surface, Reviews of 
Geophysics. 36(4). pp.441-500. 
Rosen, P.A., S. Hensley, I.R. Joughin, F.K. Li, S.N. Madsen, 
E. Rodriguez, R.M. Goldstein, R.M., 2000. Synthetic 
Aperture Radar Interferometry, Proceeding of the IEEE.88 (3). 
pp.333-382. 
Wright, P. and R. Stow, Detecting mining subsidence from 
space. International Journal of Remote Sensing, 1999. 20(6): 
pp. 1183-1188. 
Camec, C. and C. Delacourt, Three years of mining 
subsidence monitored by SAR interferometry, near Gardanne, 
France. Journal of Applied Geophysics, 2000. 43(1): pp. 
43-54. 
Wegmuller, U., et al. Monitoring of mining-induced surface 
deformation in the Ruhrgebiet (Germany) with SAR 
interferometry. In Geoscience and Remote Sensing 
Symposium, 2000. Proceedings IGARSS 2000. 
(b) Differential interferogram 
Only the urban areas and Guye district has high coherence (a), 
in Guye district where mine was serious excavated; a cycle 
Liu Guo-xiang, 2006. Monitoring of Ground Deformations 
with Radar Interferometry. The Surveying and Mapping Press. 
pp.9-10. 
Wu Li-xing, Gao Jun-hai, Ge Da-qing, Liao Ming-sheng, 
Experimental Study on Surface Subsidence Monitoring with 
D-InSAR in Mining Area. Journal of Northeastern University 
(Natural Science), 26(8), pp.778-781. 
Kampes, B., (1999) Delft Object-oriented Radar 
Interferometric Software User’s manual, Delft University of 
Technology, Nederland. 
Chen C. W. and H. A. Zebker, (2002) Phase unwrapping for 
large SAR interferograms: Statistical segmentation and 
generalized network models,' IEEE Transactions on 
Geoscience and Remote Sensing, vol. 40, pp. 1709-1719. 
ACKNOWLEDGMENTS 
The European Space Agency's (ESA) ERS-1, ERS-2 and 
Envisat satellite(s) have been used to collect the interferometry 
data. The data were obtained as a part of ESA Cat-1 Project 
(No.4527). The interferometry processing in this project was 
performed using the freely available Doris software, developed 
by the Delft Institute for Earth-Oriented Space Research 
(DEOS), Delft University of Technology. 
(http://www.geo.tudelft.nl/doris.html). 
Data integration is performed using ArcGIS supplied by 
ESRI.