A Functional Model for Determining Maximum Detectable Deformation Gradients of InSAR Considering the Topography in Mountainous Areas

被引:9
作者
Dai, Keren [1 ,2 ,3 ]
Chen, Youdong [1 ,2 ,3 ]
Xu, Qiang [1 ,2 ,3 ]
Hancock, Craig [1 ,2 ,3 ]
Jiang, Mi [1 ,2 ,3 ]
Deng, Jin [1 ,2 ,3 ]
Zhuo, Guanchen [1 ,2 ,3 ]
机构
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China
[2] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
[3] Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough LE11 3TU, England
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2023年 / 61卷
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
~Interferometric synthetic aperture radar (InSAR); Mao County; maximum detectable deformation gradients (MDDG); slope gradient/aspect; wavelength; MONITORING GROUND DEFORMATION; NORTHERN CALIFORNIA; CHINA; SAR; LANDSLIDE; MINIMUM; INTERFEROMETRY;
D O I
10.1109/TGRS.2023.3287590
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The maximum detectable deformation gradients (MDDG) for interferometric synthetic aperture radar (InSAR) technology is important for the selection of SAR images and processing algorithms to perform accurate slope displacement monitoring, which is strongly influenced by terrain factors in mountainous areas. In this article, a functional model is proposed to determine the MDDG of InSAR with respect to arbitrary slope gradients/aspects and wavelengths. Based on this model, regional MDDG characteristics are explored and compared in Mao County, Sichuan Province, China. The MDDG distribution regarding Sentinel-1, ALOS-2/PALSAR-2, and TerraSAR-X SAR satellite data using arbitrary slope gradient/aspect are derived. Furthermore, the MDDG from variable satellites for three different bands (X/C/L-band) are compared and the influence factors with respect to the wavelength and resolution on MDDG are discussed. The proposed model is helpful in selecting SAR data or processing algorithms based on calculated MDDG, in the meanwhile, it has significant implications for understanding and analyzing real slope displacement monitored by InSAR regarding different SAR images in mountainous areas.
引用
收藏
页数:11
相关论文
共 35 条
  • [1] A new functional model for determining minimum and maximum detectable deformation gradient resolved by satellite radar interferometry
    Baran, I
    Stewart, M
    Claessens, S
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (04): : 675 - 682
  • [2] Baran I., 2003, P 11 FIG S DEF MEAS, P25
  • [3] Combining SAR interferometric phase and intensity information for monitoring of large gradient deformation in coal mining area
    Chen, Bingqian
    Deng, Kazhong
    Fan, Hongdong
    Yu, Yang
    [J]. EUROPEAN JOURNAL OF REMOTE SENSING, 2015, 48 : 701 - 717
  • [4] Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery
    Cigna, Francesca
    Bateson, Luke B.
    Jordan, Colm J.
    Dashwood, Claire
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 152 : 441 - 466
  • [5] Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements
    Dai, Keren
    Deng, Jin
    Xu, Qiang
    Li, Zhenhong
    Shi, Xianlin
    Hancock, Craig
    Wen, Ningling
    Zhang, Lele
    Zhuo, Guanchen
    [J]. GISCIENCE & REMOTE SENSING, 2022, 59 (01) : 1226 - 1242
  • [6] Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework
    Dai, Keren
    Li, Zhenhong
    Xu, Qiang
    Burgmann, Roland
    Milledge, David G.
    Tomas, Roberto
    Fan, Xuanmei
    Zhao, Chaoying
    Liu, Xiaojie
    Peng, Jianbing
    Zhang, Qin
    Wang, Zheng
    Qu, Tengteng
    He, Chaoyang
    Li, Deren
    Liu, Jingnan
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2020, 8 (01) : 136 - 153
  • [7] Monitoring activity at the Daguangbao mega-landslide (China) using Sentinel-1 TOPS time series interferometry
    Dai, Keren
    Li, Zhenhong
    Tomas, Roberto
    Liu, Guoxiang
    Yu, Bing
    Wang, Xiaowen
    Cheng, Haiqin
    Chen, Jiajun
    Stockamp, Julia
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 186 : 501 - 513
  • [8] Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images
    Dai, Keren
    Liu, Guoxiang
    Li, Zhenhong
    Li, Tao
    Yu, Bing
    Wang, Xiaowen
    Singleton, Andrew
    [J]. REMOTE SENSING, 2015, 7 (08) : 9542 - 9562
  • [9] Measuring precursory movements of the recent Xinmo landslide in Mao County, China with Sentinel-1-and ALOS-2 PALSAR-2 datasets
    Dong, Jie
    Zhang, Lu
    Li, Menghua
    Yu, Yanghai
    Liao, Mingsheng
    Gong, Jianya
    Luo, Heng
    [J]. LANDSLIDES, 2018, 15 (01) : 135 - 144
  • [10] What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges
    Fan, Xuanmei
    Juang, C. Hsein
    Wasowski, Janusz
    Huang, Runqiu
    Xu, Qiang
    Scaringi, Gianvito
    van Westen, Cees J.
    Havenith, Hans-Balder
    [J]. ENGINEERING GEOLOGY, 2018, 241 : 25 - 32