MAPPING OF SLOW VERTICAL GROUND MOVEMENT CAUSED BY SALT CAVERN CONVERGENCE WITH SENTINEL-1 TOPS DATA

被引:4
|
作者
Malinowska, Agnieszka [1 ]
Hejmanowski, Ryszard [1 ]
Witkowski, Wojciech Tomasz [1 ]
Guzy, Artur [1 ]
机构
[1] AGH Univ Sci & Technol, Al A Mickiewicza 30, PL-30059 Krakow, Poland
关键词
SAR Interferometry; DInSAR; Sentinel; 1; slow mining subsidence; salt mine; DENSITY;
D O I
10.24425/122453
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
The geodetic measurements optimization problem has played a crucial role in the mining areas affected by continuous ground movement. Such movements are most frequently measured with the classical geodetic methods such as levelling, tachymetry or GNSS (Global Navigation Satellite System). The measuring techniques are selected with respect to the dynamics of the studied phenomena, surface hazard degree, as well as the financial potential of the mining company. Land surface changes caused by underground exploitation are observed with some delay because of the mining and geological conditions of the deposit surroundings. This delay may be considerable in the case of salt deposits extraction due to slow convergence process, which implies ground subsidence maximum up to a few centimeters per year. Measuring of such displacements requires high precision instruments and methods. In the case of intensely developed urban areas, a high density benchmark network has to be provided. Therefore, the best solution supporting the monitoring of vertical ground displacements in the areas located above the salt deposits seems to be the Sentinel 1-A radar imaging satellite system. The main goal of the investigation was to verify if imaging radar from the Sentinel 1 mission could be applied to monitor of slow ground vertical movement above word heritage Wieliczka salt mine. The outcome of the analysis, which was based on DInSAR (Differential SAR Interferometry). technology, is the surface distribution of annual subsidence in the period of 2015-2016. The comparison of the results with levelling confirmed the high accuracy of satellite observations. What is significant, the studies allowed to identify areas with the greatest dynamics of vertical ground movements, also in the regions where classical surveying was not conducted. The investigation proved that with the use of Sentinel-1 images sub centimeters slow vertical movements could be obtained.
引用
收藏
页码:383 / 396
页数:14
相关论文
共 50 条
  • [31] Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale
    Binita Shrestha
    Sajjad Ahmad
    Haroon Stephen
    Environmental Monitoring and Assessment, 2021, 193
  • [32] MAPPING PLANT COMMUNITIES IN THE INTERTIDAL ZONES USING SENTINEL-2 AND SENTINEL-1 DATA
    Wang, Tiejun
    Luo, Yansha
    Sun, Yiwen
    Liu, Xinhui
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8381 - 8384
  • [33] Sentinel-1 Coherence for Mapping Above-Ground Biomass in Semiarid Forest Areas
    Cartus, Oliver
    Santoro, Maurizio
    Wegmuller, Urs
    Labriere, Nicolas
    Chave, Jerome
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [34] Ionospheric Correction of InSAR Time Series Analysis of C-band Sentinel-1 TOPS Data
    Liang, Cunren
    Agram, Piyush
    Simons, Mark
    Fielding, Eric J.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (09): : 6755 - 6773
  • [35] Persistent Scatterer Densification Through Capon-Based SAR Reprocessing for Sentinel-1 TOPS Data
    Zhang, Hao
    Lopez-Dekker, Paco
    van Leijen, Freek
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [36] A CNN-BASED FLOOD MAPPING APPROACH USING SENTINEL-1 DATA
    Tavus, Beste
    Can, Recep
    Kocaman, Sultan
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 5-3 : 549 - 556
  • [37] A generalized model for mapping sunflower areas using Sentinel-1 SAR data
    Qadir, Abdul
    Skakun, Sergii
    Kussul, Nataliia
    Shelestov, Andrii
    Becker-Reshef, Inbal
    REMOTE SENSING OF ENVIRONMENT, 2024, 306
  • [38] Built-up area mapping using Sentinel-1 SAR data
    Verma, Abhinav
    Bhattacharya, Avik
    Dey, Subhadip
    Lopez-Martinez, Carlos
    Gamba, Paolo
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2023, 203 : 55 - 70
  • [39] MAPPING RICE AREA USING SENTINEL-1 SAR DATA AND DEEP LEARNING
    Shen, Guozhuang
    Nie, Chenwei
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3402 - 3405
  • [40] Inland Water Body Mapping Using Multitemporal Sentinel-1 SAR Data
    Marzi, David
    Gamba, Paolo
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 11789 - 11799