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
  • [1] On the application of DInSAR to deformation monitoring in desert areas
    Chang Xiao-Tao
    Guo Jin-Yun
    Zhang Yong-Hong
    Wang Xiao-Qing
    APPLIED GEOPHYSICS, 2011, 8 (01) : 86 - 93
  • [2] Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq
    Othman, Arsalan Ahmed
    Al-Maamar, Ahmed F.
    Al-Manmi, Diary Ali Mohammed
    Liesenberg, Veraldo
    Hasan, Syed E.
    Al-Saady, Younus I.
    Shihab, Ahmed T.
    Khwedim, Kareem
    REMOTE SENSING, 2019, 11 (22)
  • [3] DINSAR DEFORMATION TIME SERIES FOR MONITORING URBAN AREAS: THE IMPACT OF THE SECOND GENERATION SAR SYSTEMS
    Bonano, M.
    Manunta, M.
    Pepe, A.
    Marsella, M.
    Lanari, R.
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5725 - 5728
  • [4] Application of the SBAS-DInSAR technique for deformation monitoring in Tunis City and Mornag plain
    Chaabani, Anis
    Deffontaines, Benoit
    GEOMATICS NATURAL HAZARDS & RISK, 2020, 11 (01) : 1346 - 1377
  • [5] ASSESSING LEVELLING AND DInSAR FOR DEFORMATION MONITORING IN SEISMIC REGION
    Di Stefano, F.
    Cuevas-Gonzalez, M.
    Luzi, G.
    Malinverni, E. S.
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 : 263 - 270
  • [6] Monitoring of Surface Deformation in Northern Taiwan Using DInSAR and PSInSAR Techniques
    Chang, Chung-Pai
    Yen, Jiun-Yee
    Hooper, Andrew
    Chou, Fong-Min
    Chen, Yi-An
    Hou, Chin-Shyong
    Hung, Wei-Chia
    Lin, Ming-Sheng
    TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2010, 21 (03): : 447 - 461
  • [7] The Application of Multi-baseline DInSAR technology in Monitoring Deformation of Beijing-Tianjin High Speed Railway
    Sun Guang-tong
    Liu Xiao-yang
    Song Ping
    Liu Jun
    PROCEEDINGS OF ISCRAM ASIA 2012 CONFERENCE ON INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT, 2012, : 392 - 396
  • [8] LOS Deformation Correction Method for DInSAR in Mining Areas by Fusing Ground Data without Control Points
    Li, Jingyu
    Yan, Yueguan
    Cai, Jinchi
    REMOTE SENSING, 2023, 15 (19)
  • [9] APPLICATION OF DINSAR TECHNIQUE TO HIGH COHERENCE SATELLITE IMAGES FOR STRATEGIC INFRASTRUCTURE MONITORING
    De Corso, T.
    Mignone, L.
    Sebastianelli, A.
    del Rosso, M. P.
    Yost, C.
    Ciampa, E.
    Pecce, M.
    Sica, S.
    Ullo, S.
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4235 - 4238
  • [10] Long-and Short-Term Deformation Monitoring of Santorini Volcano: Unrest Evidence by DInSAR Analysis
    Papageorgiou, Elena
    Foumelis, Michael
    Parcharidis, Issaak
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (05) : 1531 - 1537