TY - GEN
T1 - Analysis of Road Network Deformation and Sinkhole Hazards with Sentinel-1 Sar Data
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
AU - Wu, Songbo
AU - Yu, Shimiao
AU - Zhang, Bochen
AU - Luo, Tess
AU - Xiong, Siting
AU - Wang, Chisheng
AU - Zhu, Jiasong
AU - Li, Qingquan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/9/5
Y1 - 2024/9/5
N2 - Analyzing road network subsidence and sinkholes is crucial for ensuring urban traffic and people's safety. InSAR technique is a non-contact measurement technique with high spatiotemporal resolution, wide monitoring range, and unaffected by road conditions, which is of great significance for the analysis of deformation hazards of man-made linear infrastructures, such as road networks and high-speed railways. In this study, we adopt 44 Sentinel-1A images from January 2022 to July 2023 to study the deformation of the road network in Longgang District, Shenzhen, China based on PS-InSAR. The road deformation is further analyzed associated with sinkhole information from field investigation. The results show that the deformation rate of the road network is between -38.3 mm/year and 16.9 mm/year, and the correlation coefficient between the top burial depth of the sinkholes and the maximum deformation rate is 0.58.
AB - Analyzing road network subsidence and sinkholes is crucial for ensuring urban traffic and people's safety. InSAR technique is a non-contact measurement technique with high spatiotemporal resolution, wide monitoring range, and unaffected by road conditions, which is of great significance for the analysis of deformation hazards of man-made linear infrastructures, such as road networks and high-speed railways. In this study, we adopt 44 Sentinel-1A images from January 2022 to July 2023 to study the deformation of the road network in Longgang District, Shenzhen, China based on PS-InSAR. The road deformation is further analyzed associated with sinkhole information from field investigation. The results show that the deformation rate of the road network is between -38.3 mm/year and 16.9 mm/year, and the correlation coefficient between the top burial depth of the sinkholes and the maximum deformation rate is 0.58.
KW - PS-InSAR
KW - road deformation
KW - sinkhole
UR - https://www.scopus.com/pages/publications/85204897069
U2 - 10.1109/IGARSS53475.2024.10641273
DO - 10.1109/IGARSS53475.2024.10641273
M3 - Conference article published in proceeding or book
AN - SCOPUS:85204897069
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 11149
EP - 11152
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2024 through 12 July 2024
ER -