Bolvadin Subsidence Analysis with Multi-Temporal InSAR Technique and Sentinel-1 Data

被引:0
|
作者
Imamoglu, Mumin [1 ,2 ]
Kahraman, Fatih [1 ]
Cakir, Ziyadin [3 ]
Sanli, Fusun Balik [2 ]
机构
[1] TOBITAK BILGEM BTE, Kocaeli, Turkey
[2] Yildiz Tekn Univ, Harita Muhendisligi, Istanbul, Turkey
[3] Istanbul Tech Univ, Jeol Muhendisligi, Istanbul, Turkey
来源
2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2020年
关键词
remote sensing; multi-temporal InSAR; time series analysis; sentinel-1; land subsidence; Bolvadin; LAND SUBSIDENCE; RADAR INTERFEROMETRY; DEFORMATION ANALYSIS;
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
Surface deformations in Bolvadin town without any devastating earthquakes have been observed in the last 10 years. In this study, ground deformation analysis of Bolvadin region was performed by Sentinel-1 synthetic aperture radar (SAR) data and multi-temporal SAR interferometry (InSAR) method. Sentinel-1 images obtained between October 2014 and October 2018 in ascending and descending orbits were processed with SNAP and StaMPS softwares. Deformation velocity maps and vertical displacement time series were produced and compared with geology and groundwater level of the region. Deformation velocity maps show significant subsidence in the region. The most severe subsidence, up to 35 mm/year, was found in the southern part of Bolvadin which is characterized by the presence of soft alluvial deposits. Both in long and short term, there was a strong correlation between the subsidence and the groundwater level. As a result, the high correlation of the vertical deformation velocity with lithological units and groundwater level indicates that subsidence in the region is probably due to the excessive use of groundwater.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Analyzing surface deformation throughout China's territory using multi-temporal InSAR processing of Sentinel-1 radar data
    Zhang, Guo
    Xu, Zixing
    Chen, Zhenwei
    Wang, Shunyao
    Liu, Yutao
    Gong, Xuhui
    REMOTE SENSING OF ENVIRONMENT, 2024, 305
  • [22] Multi-Temporal Sentinel-1 Backscatter and Coherence for Rainforest Mapping
    Pulella, Andrea
    Santos, Rodrigo Aragao
    Sica, Francescopaolo
    Posovszky, Philipp
    Rizzoli, Paola
    REMOTE SENSING, 2020, 12 (05)
  • [23] ROAD SURFACE DEFORMATION ASSESSMENT OF CHENGDU, CHINA USING PS-INSAR TECHNIQUE AND SENTINEL-1 MULTI-TEMPORAL SAR DATASETS
    Zhu, Bao
    Wang, Yong
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2006 - 2009
  • [24] Multi-Temporal Sentinel-1 and-2 Data Fusion for Optical Image Simulation
    He, Wei
    Yokoya, Naoto
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (10)
  • [25] Paddy Monitoring in Seberang Perak, Malaysia Using Multi-Temporal Sentinel-1 Data
    Hameed, Azhar Abed
    Shariff, Abdul Rashid Bin Mohamed
    10TH IGRSM INTERNATIONAL CONFERENCE AND EXHIBITION ON GEOSPATIAL & REMOTE SENSING, 2020, 540
  • [26] Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data
    Tomppo, Erkki
    Antropov, Oleg
    Praks, Jaan
    REMOTE SENSING, 2019, 11 (04)
  • [27] Surface Subsidence Analysis by Multi-Temporal InSAR and GRACE: A Case Study in Beijing
    Guo, Jiming
    Zhou, Lv
    Yao, Chaolong
    Hu, Jiyuan
    SENSORS, 2016, 16 (09):
  • [28] Backscatter Characteristics Analysis for Flood Mapping Using Multi-Temporal Sentinel-1 Images
    Huang, Minmin
    Jin, Shuanggen
    REMOTE SENSING, 2022, 14 (15)
  • [29] Evaluating the potential of multi-temporal Sentinel-1 and Sentinel-2 data for regional mapping of olive trees
    Akcay, Haydar
    Aksoy, Samet
    Kaya, Sinasi
    Sertel, Elif
    Dash, Jadu
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (23) : 7338 - 7364
  • [30] Soil moisture retrieval using multi-temporal Sentinel-1 SAR data in agricultural areas
    He L.
    Qin Q.
    Ren H.
    Du J.
    Meng J.
    Du C.
    Qin, Qiming (qmqin@pku.edu.cn), 1600, Chinese Society of Agricultural Engineering (32): : 142 - 148