Wide Area Detection and Distribution Characteristics of Landslides along Sichuan Expressways

被引:31
作者
Chen, Bo [1 ,2 ]
Li, Zhenhong [1 ,2 ,3 ]
Zhang, Chenglong [1 ,2 ]
Ding, Mingtao [1 ,2 ,3 ]
Zhu, Wu [1 ,2 ,3 ]
Zhang, Shuangcheng [1 ,2 ,3 ]
Han, Bingquan [1 ,2 ]
Du, Jiantao [1 ,2 ]
Cao, Yanbo [1 ,3 ]
Zhang, Chi [4 ,5 ]
Liao, Zhiyong [6 ]
Zhou, Shuanke [6 ]
Wang, Jianwei [5 ,7 ]
Peng, Jianbing [1 ,3 ]
机构
[1] Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China
[2] Changan Univ, Big Data Ctr Geosci & Satellites, Xian 710054, Peoples R China
[3] Minist Educ, Key Lab Western Chinas Mineral Resource & Geol En, Xian 710054, Peoples R China
[4] Changan Univ, Sch Highway, Xian 710064, Peoples R China
[5] Minist Educ, Engn Res Ctr Highway Infrastruct Digitalizat, Xian 710064, Peoples R China
[6] Sichuan Expressway Construct & Dev Grp, Chengdu 610041, Peoples R China
[7] Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China
基金
中国国家自然科学基金;
关键词
Sichuan expressways; wide area detection; landslide; GACOS; InSAR stacking; hotspot analysis; optical remote sensing; EARTHQUAKE;
D O I
10.3390/rs14143431
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wide area landslide detection is a major international research hotspot in the field of geological hazards, and the integration of multi-temporal optical satellite images and spaceborne interferometric synthetic aperture radar (InSAR) appears to be an effective way to realize this. In this paper, a technical framework is presented for wide area landslide detection: (i) multi-temporal satellite optical images are used to detect landslides with distinguishable geomorphological features; (ii) Generic Atmospheric Correction Online Service (GACOS) assisted InSAR stacking is employed to generate annual surface displacement rate maps in radar line of sight using satellite SAR images from both ascending and descending tracks, which are in turn utilized to automatically detect active landslides from ground motion using hotspot analysis, and (iii) the distribution characteristics of the detected landslides are investigated by examining their relationships with topographic and hydrological factors. Three expressways in Sichuan Province, China-namely the Yakang (Ya'an-Kangding), Yaxi (Ya'an-Xichang), and Lushi (Luding-Shimian) expressways-and their surrounding regions (a total area of approximately 20,000 square kilometers) were chosen as the study area. A total of 413 landslides were detected, among which 320 were detected using multi-temporal satellite optical images, and 109 were detected using GACOS-assisted InSAR stacking. It should be noted that only 16 landslides were detected by both approaches; these landslides all exhibited not only obvious geomorphological features but also ground motion. A statistical analysis of the topographic and hydrological factors shows that of the detected landslides: 81% are distributed at elevations of 1000-2500 m, over 60% lie within the elevation range of 100 similar to 400 m, and 90% present with medium and steep slopes (20 degrees similar to 45 degrees), and 80% are located within areas seeing an annual rainfall of 950 similar to 1050 mm. Nine landslides were found to pose potential safety hazards to the expressways. The research findings in this paper have directly benefitted the Sichuan expressways; equally important, it is believed that the technical framework presented in this paper will provide guidance for hazard mitigation and the prevention of transportation hazards in the future.
引用
收藏
页数:22
相关论文
共 56 条
[1]   Historic drought puts the brakes on earthflows in Northern California [J].
Bennett, G. L. ;
Roering, J. J. ;
Mackey, B. H. ;
Handwerger, A. L. ;
Schmidt, D. A. ;
Guillod, B. P. .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (11) :5725-5731
[2]   Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon [J].
Booth, Adam M. ;
Roering, Josh J. ;
Perron, J. Taylor .
GEOMORPHOLOGY, 2009, 109 (3-4) :132-147
[3]   Influence of Tectonics and Morphometric Features on the Landslide Distribution: A Case Study from the Mesima Basin (Calabria, South Italy) [J].
Conforti, Massimo ;
Ietto, Fabio .
JOURNAL OF EARTH SCIENCE, 2020, 31 (02) :393-409
[4]  
Cruden D.M., 1996, Trans. Res. B, V247, P36
[5]   Risk assessment of highways affected by debris flows in Wenchuan earthquake area [J].
Cui Peng ;
Xiang Ling-zhi ;
Zou Qiang .
JOURNAL OF MOUNTAIN SCIENCE, 2013, 10 (02) :173-189
[6]  
Dai K., 2021, GEOMAT INF SCI WUHAN, V46, P1450, DOI DOI 10.13203/J.WHUGIS20210130
[7]  
[戴可人 Dai Keren], 2020, [雷达学报, Journal of Radars], V9, P554
[8]   THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS [J].
GETIS, A ;
ORD, JK .
GEOGRAPHICAL ANALYSIS, 1992, 24 (03) :189-206
[9]  
[郭晨 Guo Chen], 2021, [武汉大学学报. 信息科学版, Geomatics and Information Science of Wuhan University], V46, P1538
[10]   Landslide inventory maps: New tools for an old problem [J].
Guzzetti, Fausto ;
Mondini, Alessandro Cesare ;
Cardinali, Mauro ;
Fiorucci, Federica ;
Santangelo, Michele ;
Chang, Kang-Tsung .
EARTH-SCIENCE REVIEWS, 2012, 112 (1-2) :42-66