On the application of DInSAR to deformation monitoring in desert areas

被引:0
作者
Xiao-Tao Chang
Jin-Yun Guo
Yong-Hong Zhang
Xiao-Qing Wang
机构
[1] State Bureau of Surveying and Mapping,Satellite Surveying and Mapping Center
[2] Shandong University of Science and Technology,undefined
[3] Chinese Academy of Surveying and Mapping,undefined
[4] National Geomatics Center of China,undefined
来源
Applied Geophysics | 2011年 / 8卷
关键词
DInSAR; Hunshandake Sandy Land; height change monitoring; sandstorm;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [41] DInSAR monitoring of land subsidence in Orihuela city, Spain:: Comparison with geotechnical data
    Tomas, R.
    Lopez-Sanchez, J. M.
    Delgado, J.
    Vicente, F.
    Cuenca, A.
    Mallorqui, J. J.
    Blanco, P.
    Duque, S.
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3027 - +
  • [42] DInSAR technique for slow-moving landslide monitoring based on slope units
    Huang, Jiaxuan
    Xie, Mowen
    Farooq, Asim
    Williams, Edward J.
    SURVEY REVIEW, 2019, 51 (364) : 70 - 77
  • [43] An Enhanced Offset Tracking Method: Providing Auxiliary Information for DInSAR Phase Filtering in Urban Areas
    Liu, Qingyu
    Lv, Xiaoqi
    Huang, Pingping
    Xu, Wei
    SENSORS, 2023, 23 (08)
  • [44] DETECTION OF PAST SLOPE ACTIVITY IN A DESERT AREA USING MULTI-TEMPORAL DINSAR WITH ALOS PALSAR DATA
    Rocca, Alfredo
    Mazzanti, Paolo
    Perssin, Daniele
    Bozzano, Francesca
    ITALIAN JOURNAL OF ENGINEERING GEOLOGY AND ENVIRONMENT, 2014, 14 (01): : 35 - 49
  • [45] Analysis of Ground Deformation Detected Using the SBAS-DInSAR Technique in Umbria, Central Italy
    Fausto Guzzetti
    Michele Manunta
    Francesca Ardizzone
    Antonio Pepe
    Mauro Cardinali
    Giovanni Zeni
    Paola Reichenbach
    Riccardo Lanari
    Pure and Applied Geophysics, 2009, 166 : 1425 - 1459
  • [46] Analysis of Ground Deformation Detected Using the SBAS-DInSAR Technique in Umbria, Central Italy
    Guzzetti, Fausto
    Manunta, Michele
    Ardizzone, Francesca
    Pepe, Antonio
    Cardinali, Mauro
    Zeni, Giovanni
    Reichenbach, Paola
    Lanari, Riccardo
    PURE AND APPLIED GEOPHYSICS, 2009, 166 (8-9) : 1425 - 1459
  • [47] Surface deformation analysis due to the Poso earthquake on May 29, 2017 using the DInSAR method
    Trismahargyono
    Puspita, A.
    Pertiwi, I. I.
    Agustan
    Sinki, K. P.
    3RD INTERNATIONAL CONFERENCE ON GEOLOGICAL ENGINEERING AND GEOSCIENCES, ICGOES 2023, 2024, 1373
  • [48] Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry
    Zhang, Yafei
    Lian, Xugang
    Ge, Linlin
    Liu, Xiaoyu
    Du, Zheyuan
    Yang, Wenfu
    Wu, Yanru
    Hu, Haifeng
    Cai, Yinfei
    REMOTE SENSING, 2022, 14 (19)
  • [49] Operation of Interferometric SBAS-DInSAR Data for Remote Structural Monitoring of Existing Bridges
    Sandoli, Antonio
    Petracca, Emanuele
    Rainieri, Carlo
    Fabbrocino, Giovanni
    JOURNAL OF BRIDGE ENGINEERING, 2024, 29 (11)
  • [50] DInSAR for mine subsidence monitoring using multi-source satellite SAR images
    Chang, HC
    Ge, LL
    Rizos, C
    IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 1742 - 1745