On the application of DInSAR to deformation monitoring in desert areas
Chang Xiao-Tao1, Guo Jin-Yun2, Zhang Yong-Hong3, and Wang Xiao-Qing4
1. Satellite Surveying and Mapping Center, State Bureau of Surveying and Mapping, Beijing 100830, China.
2. Shandong University of Science and Technology, Qingdao 266510, China.
3. Chinese Academy of Surveying and Mapping, Beijing 100830, China
4. National Geomatics Center of China, Beijing 100830, China.
Abstract The DInSAR technique is used for monitoring the desert height changes to study sandstorms. Hunshandake Sandy Land, as the test area, is one of the main sources of sandstorms in Beijing. In order to study the sandstorm source and its impact, a pair of EnviSat ASAR images of Oct. 11, 2005, and Oct. 26, 2004, is processed on the basis of analysis of six ERS-2 and EnviSat radar images. After the image configuration, flat earth effect correction, data filtering, phase unwrapping, and geo-coding, a deformation model over Hunshandake desert is built. According to the results, the height decreased in most areas and increased in a few areas, which basically coincides with the strong sandstorm appearing in Beijing in the Spring of 2005. The results show DInSAR has an important role in monitoring of desert surface deformation.
This research is supported partially by the National Natural Science Foundation of China (Nos.40774009 and 40974016),the National Hi-tech R&D Program of China (No. 2009AA121402), the Special Project Fund of Taishan Scholars of Shandong Province, China (No. TSXZ0502), and the Research & Innovation Team Support Program of SDUST, China.
About author: Chang Xiao-Tao, PhD, is a PhD Supervisor of the Satellite Surveyingand Mapping Application Center of the State Bureau of Surveying and Mapping. He is engaged in satellite geodesy research.
Cite this article:
CHANG Xiao-Tao,GUO Jin-Yun,ZHANG Yong-Hong et al. On the application of DInSAR to deformation monitoring in desert areas[J]. APPLIED GEOPHYSICS, 2011, 8(1): 86-93.
[1]
Chen, C. W., and Zebker, H. A., 2000, Network approaches to two-dimensional phase unwrapping: Intractability and two new algorithms: Journal of the Optical Society of America A, 17, 401 - 414.
[2]
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D., 2007, The shuttle radar topography mission: Rev. Geophys, 45, RG2004, doi:10.1029/2005RG000183.
[3]
Grabriel, A. K., and Goldstein, R. M., 1988, Crossed orbit interferometry: theory and experimental results from SIR-B: Int. J. Remote Sensing, 9(5), 857 - 872.
[4]
Guo, J. Y., Chang, X. T., and Yue, Q., 2005, Study on curved surface fitting model using GPS and leveling in local area: Trans. Nonferrous Met. Soc. China, 15, 140 - 144.
[5]
Hanssen, R. F., 2001, Radar interferometry: Data interpretation and error analysis: Kluwer Academic Publisher, the Netherlands.
[6]
Kampes, B., and Usai, S., 1999, DORIS: the Delft object-oriented radar interferometric software: Proceedings ITC 2nd ORS Symposium, the Netherlands.
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., and Rabaute, T., 1993, The displacement field of the Landers earthquake mapped by radar interferometry: Nature, 364, 138 - 142.
[10]
Massonnet, D., and Feigl, K. L., 1998, Radar interferometry and its application to changes in the earth’s surface: Rev Geophys, 36(4), 441 - 500.
[11]
Rantakokko, H., and Rosenholm, D., 1999, Rectification of slant range imagery through a direct image to ground relationship: Photogrammetric Record, 16(94), 685 - 694.
[12]
Scharroo, R., and P. Visser, 1998: Precise orbit determination and gravity field improvement for the ERS satellites: Journal of Geophysical Research, 103, 8113 - 8127.
2011, Vol. 8 
