Space-borne radar interferometry techniques for the generation of deformation time series: An advanced tool for Earth's surface displacement analysis

被引:75
|
作者
Sansosti, E. [1 ]
Casu, F. [1 ]
Manzo, M. [1 ]
Lanari, R. [1 ]
机构
[1] CNR, IREA, I-80124 Naples, Italy
关键词
DINSAR TECHNIQUE; HAYWARD FAULT; ALGORITHM; SUBSIDENCE; CALIFORNIA; CREEP; INSAR; SET;
D O I
10.1029/2010GL044379
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This work is focused on advanced differential SAR interferometry (DInSAR) techniques for the generation of deformation time series from sequences of SAR images. We first present the basic rationale of these techniques providing some details of the most well known algorithms. Subsequently, through the analysis of selected case studies focused on the available C-band SAR data archives, we show the relevance of the retrieved spatially dense deformation time series for the comprehension of several geophysical phenomena. We finally introduce, again via a real case study, the advances brought in by the new generation X-band space-borne SAR sensors, highlighting new investigation possibilities for fast varying deformation phenomena. Citation: Sansosti, E., F. Casu, M. Manzo, and R. Lanari (2010), Space-borne radar interferometry techniques for the generation of deformation time series: An advanced tool for Earth's surface displacement analysis, Geophys. Res. Lett., 37, L20305, doi:10.1029/2010GL044379.
引用
下载
收藏
页数:9
相关论文
共 28 条
  • [1] Surface Displacement Time Series Retrieved by Fully Exploiting Space-Borne SAR Data
    Casu, F.
    Manconi, A.
    Elefante, S.
    Zinno, I.
    ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, 2015, : 417 - 420
  • [2] Interseismic deformation of the Shahroud fault system (NE Iran) from space-borne radar interferometry measurements
    Mousavi, Z.
    Pathier, E.
    Walker, R. T.
    Walpersdorf, A.
    Tavakoli, F.
    Nankali, H.
    Sedighi, M.
    Doin, M. -P.
    GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (14) : 5753 - 5761
  • [3] Satellite radar interferometry time series analysis of surface deformation for Los Angeles, California
    Lanari, R
    Lundgren, P
    Manzo, M
    Casu, F
    GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (23) : 1 - 5
  • [4] Surface displacement estimation using space-borne SAR interferometry in a small portion along Himalayan Frontal Fault
    Bhattacharya, Atanu
    Arora, Manoj K.
    Sharma, Mukat L.
    Voge, Malte
    Bhasin, Raginder
    OPTICS AND LASERS IN ENGINEERING, 2014, 53 : 164 - 178
  • [5] Synthetic aperture radar interferometry to measure Earth's surface topography and its deformation
    Bürgmann, R
    Rosen, PA
    Fielding, EJ
    ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, 2000, 28 : 169 - 209
  • [6] Constraints on surface deformation in the Seattle, WA, urban corridor from satellite radar interferometry time-series analysis
    Finnegan, Noah J.
    Pritchard, Mathew E.
    Lohman, Rowena B.
    Lundgren, Paul R.
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2008, 174 (01) : 29 - 41
  • [7] Time Series Analysis of Surface Deformation related with CO2 Injection by Satellite-borne SAR Interferometry at In Salah, Algeria
    Onuma, Takumi
    Okada, Kinya
    Otsubo, Akira
    10TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, 2011, 4 : 3428 - 3434
  • [8] Surface Deformation Analysis of the Houston Area Using Time Series Interferometry and Emerging Hot Spot Analysis
    Khan, Shuhab D.
    Gadea, Otto C. A.
    Alvarado, Alyssa Tello
    Tirmizi, Osman A.
    REMOTE SENSING, 2022, 14 (15)
  • [9] Wavelets in the analysis of local time series of the Earth's surface air
    Volvach, Alexandr
    Kurbasova, Galina
    Volvach, Larisa
    HELIYON, 2024, 10 (01)
  • [10] A Review of Time-Series Interferometric SAR Techniques: A Tutorial for Surface Deformation Analysis
    Xue, Feiyang
    Lv, Xiaolei
    Dou, Fangjia
    Yun, Ye
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2020, 8 (01) : 22 - 42