Mapping and monitoring ground instabilities with Sentinel-1 data: the experience of Sernageomin

被引:0
|
作者
Olea, P. [1 ]
Monserrat, O. [2 ]
Sierralta, C. [3 ]
Barra, A. [2 ]
Bono, L. [1 ]
Fuentes, F. [1 ]
Zhiwei, Q. [4 ]
Crippa, B. [5 ]
机构
[1] Serv Nacl Geol & Min Sernageomin, Unidad Teledetecc, Dept Geomat, Santiago, RM, Chile
[2] Ctr Tecnol Telecomunicac Catalaunya, Av Carl Friedrich Gauss 4, Castelldefels, Spain
[3] Superintendencia Medio Ambiente, Santiago, RM, Chile
[4] Jiangsu Ocean Univ, Sch Geomat & Marine Informat, Av Cangwu 59, Lianyungang, Peoples R China
[5] Univ Milan, Dept Earth Sci, Sect Geophys, Via Cicognara 7, I-20129 Milan, Italy
关键词
Active geohazards; SAR interferometry; Sentinel-1; geohazard prevention; SAR INTERFEROMETRY; ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The application of Satellite Differential SAR interferometry (DInSAR) has become a reliable solution as a tool for mapping and monitoring geohazards. Few years ago, the main applications of these techniques were devoted to science. However, nowadays, the easy access to SAR imagery and the maturity of the techniques to exploit these type of data has widened the user's spectrum from only scientists to professional and decision makers. The advent of Sentinel-1 satellites has significantly contributed to this achievement. In particular, in the field of geohazard risk management, Sentinel-1 has solved one of the main constraining factors that hindered the operational use of interferometric techniques in the past: the lack of systematic acquisition plans. In this context, Sentinel-1 assures worldwide coverage with short temporal baselines (6 to 24 days). This has supposed a definitive step towards the implementation of DInSAR based techniques to support decision makers against geohazards. In this work, we show the first experiences of the remote sensing unit of the Geological and Mining Survey of Chile (Sernageomin) with Sentinel-1 data. Three different case studies in different areas of the Chilean territory are presented. The examples illustrate how DInSAR based techniques can provide different levels of information about geohazard activity in different environments.
引用
收藏
页码:421 / 427
页数:7
相关论文
共 50 条
  • [1] Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping
    Nasrallah, Ali
    Baghdadi, Nicolas
    El Hajj, Mohammad
    Darwish, Talal
    Belhouchette, Hatem
    Faour, Ghaleb
    Darwich, Salem
    Mhawej, Mario
    REMOTE SENSING, 2019, 11 (19)
  • [2] Sentinel-1 Data Processing for Detecting and Monitoring of Ground Instabilities in the Rocky Coast of Central Asturias (N Spain)
    Cuervas-Mons, Jose
    Dominguez-Cuesta, Maria Jose
    Mateos Redondo, Felix
    Barra, Anna
    Monserrat, Oriol
    Valenzuela, Pablo
    Jimenez-Sanchez, Montserrat
    REMOTE SENSING, 2021, 13 (16)
  • [3] Assessing the suitability of Sentinel-1 data for landslide mapping
    Kyriou, Aggeliki
    Nikolakopoulos, Konstantinos
    EUROPEAN JOURNAL OF REMOTE SENSING, 2018, 51 (01): : 402 - 411
  • [4] Sentinel-1 Ground Segment
    Rosich, Betlem
    Miranda, Nuno
    Potin, Pierre
    Putignano, Cosimo
    Sabella, Gianluca
    Geudtner, Dirk
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1726 - 1729
  • [5] USING SENTINEL-1 DATA FOR MONITORING OF SOIL MOISTURE
    Garkusha, Igor N.
    Hnatushenko, Volodymyr V.
    Vasyliev, Volodymyr V.
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 1656 - 1659
  • [6] Monitoring ground movement at Volcan de Colima, Mexico, using Sentinel-1 data and SqueeSAR®
    Mason, P. J.
    Bischoff, C. A.
    Hughes, G.
    Petrone, C. M.
    Varley, N. R.
    Nicholas, G.
    Ferretti, A.
    QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2023, 56 (01)
  • [7] Assessment of the Sentinel-1 based ground motion data feasibility for large scale landslide monitoring
    Roberta Bonì
    Massimiliano Bordoni
    Valerio Vivaldi
    Carlo Troisi
    Mauro Tararbra
    Luca Lanteri
    Francesco Zucca
    Claudia Meisina
    Landslides, 2020, 17 : 2287 - 2299
  • [8] Assessment of the Sentinel-1 based ground motion data feasibility for large scale landslide monitoring
    Boni, Roberta
    Bordoni, Massimiliano
    Vivaldi, Valerio
    Troisi, Carlo
    Tararbra, Mauro
    Lanteri, Luca
    Zucca, Francesco
    Meisina, Claudia
    LANDSLIDES, 2020, 17 (10) : 2287 - 2299
  • [9] LAND COVER MAPPING USING SENTINEL-1 SAR DATA
    Abdikan, S.
    Sanli, F. B.
    Ustuner, M.
    Calo, F.
    XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 757 - 761
  • [10] MAPPING OF SLOW VERTICAL GROUND MOVEMENT CAUSED BY SALT CAVERN CONVERGENCE WITH SENTINEL-1 TOPS DATA
    Malinowska, Agnieszka
    Hejmanowski, Ryszard
    Witkowski, Wojciech Tomasz
    Guzy, Artur
    ARCHIVES OF MINING SCIENCES, 2018, 63 (02) : 383 - 396