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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\u2014namely the Yakang (Ya\u2019an-Kangding), Yaxi (Ya\u2019an-Xichang), and Lushi (Luding-Shimian) expressways\u2014and 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\u20132500 m, over 60% lie within the elevation range of 100~400 m, and 90% present with medium and steep slopes (20\u00b0~45\u00b0), and 80% are located within areas seeing an annual rainfall of 950~1050 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.<\/jats:p>","DOI":"10.3390\/rs14143431","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T01:53:22Z","timestamp":1658109202000},"page":"3431","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Wide Area Detection and Distribution Characteristics of Landslides along Sichuan Expressways"],"prefix":"10.3390","volume":"14","author":[{"given":"Bo","family":"Chen","sequence":"first","affiliation":[{"name":"College of Geological Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Big Data Center for Geosciences and Satellites, Chang\u2019an University, Xi\u2019an 710054, 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(1996). Landslide types and processes. Landslides: Investigation and Mitigation, National Academy Press. Special Report."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/s10346-013-0436-y","article-title":"The Varnes classification of landslide types, an update","volume":"11","author":"Hungr","year":"2013","journal-title":"Landslides"},{"key":"ref_3","first-page":"103611","article-title":"Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future","volume":"217","author":"Mondini","year":"2021","journal-title":"Earth Sci. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.envsci.2018.04.002","article-title":"Questioning network governance for disaster risk management: Lessons learnt from Landslide risk management in Uganda","volume":"85","author":"Maes","year":"2018","journal-title":"Environ. Sci. Policy"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1007\/s10346-018-1099-5","article-title":"Contextualizing community-based landslide risk reduction: An evolutionary perspective","volume":"16","author":"Raska","year":"2019","journal-title":"Landslides"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"485","DOI":"10.2307\/622211","article-title":"Geomorphic Thresholds: The Concept and Its Applications","volume":"4","author":"Schumm","year":"1979","journal-title":"Trans. Inst. Br. Geogr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1002\/esp.3290090611","article-title":"Creep processes in landslides","volume":"9","author":"Van","year":"1984","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_8","first-page":"735","article-title":"Landsat applied to landslide mapping","volume":"44","author":"Sauchyn","year":"1978","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.earscirev.2012.02.001","article-title":"Landslide inventory maps: New tools for an old problem","volume":"112","author":"Guzzetti","year":"2012","journal-title":"Earth Sci. Rev."},{"key":"ref_10","first-page":"1342","article-title":"Early detection of landslides in the upstream and downstream areas of the Baige Landslide, the Jinsha River based on optical remote sensing and InSAR technologies","volume":"44","author":"Lu","year":"2019","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_11","first-page":"2039","article-title":"Early Detection of Landslide Hazards in Mountainous Areas of West China Using Time Series SAR Interferometry\u2013A Case Study of Danba, Sichuan","volume":"43","author":"Zhang","year":"2018","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_12","first-page":"967","article-title":"Application of satellite radar remote sensing to landslide detection and monitoring: Challenges and solutions","volume":"44","author":"Li","year":"2019","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"106033","DOI":"10.1016\/j.enggeo.2021.106033","article-title":"Integration of Sentinel-1 and ALOS\/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China","volume":"284","author":"Liu","year":"2021","journal-title":"Eng. Geol."},{"key":"ref_14","first-page":"1649","article-title":"Landslide Detection of the Jinsha River Region Using GACOS Assisted InSAR Stacking","volume":"46","author":"Zhang","year":"2021","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7253","DOI":"10.1038\/s41598-018-25369-w","article-title":"Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites","volume":"8","author":"Raspini","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_16","first-page":"1450","article-title":"Quantitative Analysis of Sentinel-1 Imagery Geometric Distortion and Their Suitability along Sichuan-Tibet Railway","volume":"46","author":"Dai","year":"2021","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s11069-010-9634-2","article-title":"Use of LIDAR in landslide investigations: A review","volume":"61","author":"Jaboyedoff","year":"2012","journal-title":"Nat. Hazards"},{"key":"ref_18","first-page":"4","article-title":"Understanding and Consideration of Related Issues in Early Identification of Potential Geohazards","volume":"45","author":"Xu","year":"2020","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.geomorph.2009.02.027","article-title":"Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon","volume":"109","author":"Booth","year":"2009","journal-title":"Geomorphology"},{"key":"ref_20","first-page":"1538","article-title":"Geohazard Recognition by Airborne LiDAR Technology in Complex Mountain Areas","volume":"46","author":"Guo","year":"2021","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_21","first-page":"1366","article-title":"The Strategic Consideration of the Development of China\u2019s Airborne Geophysical Technology","volume":"36","author":"Xiong","year":"2009","journal-title":"Geol. China"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1017\/jog.2018.99","article-title":"Glacier Bed Surveying with Helicopter-Borne Dual-polarization Ground-penetrating Radar","volume":"65","author":"Langhammer","year":"2019","journal-title":"J. Glaciol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3421","DOI":"10.1007\/s10346-021-01722-5","article-title":"The \u201c8\u00b721\u201d rainfall-induced Zhonghaicun landslide in Hanyuan County of China: Surface features and genetic mechanisms","volume":"18","author":"Ye","year":"2021","journal-title":"Landslides"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Highland, L.M., and Bobrowsky, P. (2008). The Landslide Handbook\u2014A Guide to Understanding Landslides.","DOI":"10.3133\/cir1325"},{"key":"ref_25","first-page":"1901","article-title":"A Technical Framework of Landslide Prevention Based on Multi-Source Remote sensing and Its Engineering Application","volume":"45","author":"Li","year":"2022","journal-title":"Earth Sci."},{"key":"ref_26","first-page":"1043","article-title":"Tracking the Deformation History of Large-Scale Rocky Landslides and Its Enlightenment","volume":"44","author":"Li","year":"2019","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4993","DOI":"10.1029\/JB091iB05p04993","article-title":"Topographic mapping from interferometric synthetic aperture radar observations","volume":"91","author":"Zebker","year":"1986","journal-title":"J. Geophysic. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1038\/364138a0","article-title":"The displacement of the Landers earthquake mapped by radar interferometry","volume":"364","author":"Massonnet","year":"1993","journal-title":"Nature"},{"key":"ref_29","first-page":"B03410","article-title":"Interferometric synthetic aperture radar (InSAR) atmospheric correction: GPS, Moderate Resolution Imaging Spectroradiometer (MODIS), and InSAR integration","volume":"110","author":"Li","year":"2005","journal-title":"J. Geophysic. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3343","DOI":"10.1080\/01431160802562172","article-title":"Advanced InSAR atmospheric correction: MERIS\/MODIS combination and stacked water vapour models","volume":"30","author":"Li","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1002\/2016JD025753","article-title":"Generation of real-time mode high-resolution water vapor fields from GPS observations","volume":"122","author":"Yu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.rse.2017.10.038","article-title":"Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model","volume":"204","author":"Yu","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"9202","DOI":"10.1029\/2017JB015305","article-title":"Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations","volume":"123","author":"Yu","year":"2018","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"112097","DOI":"10.1016\/j.rse.2020.112097","article-title":"Triggered afterslip on the southern Hikurangi subduction interface following the 2016 Kaik\u014dura earthquake from the InSAR time series with atmospheric corrections","volume":"251","author":"Yu","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_35","first-page":"213","article-title":"General Survey of Large-scale Land Subsidence by GACOS-Corrected InSAR Stacking: Case Study in North China Plain","volume":"382","author":"Xiao","year":"2020","journal-title":"Proc. Int. Assoc. Hydrol. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"30183","DOI":"10.1029\/1998JB900008","article-title":"Phase gradient approach to stacking interferograms","volume":"103","author":"Sandwell","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1111\/j.1538-4632.1992.tb00261.x","article-title":"The Analysis of Spatial Association by Use of Distance Statistics","volume":"24","author":"Getis","year":"1992","journal-title":"Geogr Anal."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1111\/j.1538-4632.1995.tb00912.x","article-title":"Local Spatial Autocorrelation Statistics: Distributional Issues and an Application","volume":"27","author":"Ord","year":"1995","journal-title":"Geogr Anal."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhang, J.M., Zhu, W., Cheng, Y.Q., and Li, Z.H. (2021). Landslide Detection in the Linzhi-Ya\u2019an Section along the Sichuan-Tibet Railway Based on InSAR and Hot Spot Analysis Methods. Remote Sens., 13.","DOI":"10.3390\/rs13183566"},{"key":"ref_40","first-page":"377","article-title":"Types of Potential Landslide and Corresponding Identification Technologies","volume":"47","author":"Xu","year":"2022","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_41","first-page":"554","article-title":"Early identification of potential landslide geohazards in alpine-canyon terrain based on SAR interferometry\u2013A case study of the middle section of Yalong river","volume":"9","author":"Dai","year":"2020","journal-title":"J. Radars"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1007\/s11629-017-4761-9","article-title":"Seismogenic fault and topography control the spatial patterns of landslides triggered by the 2017 Jiuzhaigou earthquake","volume":"15","author":"Wu","year":"2018","journal-title":"J. Mt. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1007\/s10346-019-01207-6","article-title":"Characteristics of landslides triggered by the 2018 Hokkaido Eastern Iburi earthquake, Northern Japan","volume":"16","author":"Zhang","year":"2019","journal-title":"Landslides"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/s11629-013-2575-y","article-title":"Risk assessment of highways affected by debris flows in Wenchuan earthquake area","volume":"10","author":"Cui","year":"2013","journal-title":"J. Mt. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/s10346-012-0357-1","article-title":"GIS-based statistical analysis of the spatial distribution of earthquake-induced landslides in the island of Lefkada, Ionian Islands, Greece","volume":"10","author":"Papathanassiou","year":"2012","journal-title":"Landslides"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1016\/j.geomorph.2008.03.003","article-title":"GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region","volume":"101","author":"Kamp","year":"2008","journal-title":"Geomorphology"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"5725","DOI":"10.1002\/2016GL068378","article-title":"Historic drought puts the brakes on earth flows in Northern California","volume":"43","author":"Bennett","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1029\/2019JF005035","article-title":"Widespread Initiation, Reactivation, and Acceleration of Landslides in the Northern California Coast Ranges due to Extreme Rainfall","volume":"124","author":"Handwerger","year":"2019","journal-title":"J. Geophys. Res.-Earth."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Xu, Y.K., Kim, J., George, D.L., and Lu, Z. (2019). Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture. Remote Sens., 11.","DOI":"10.3390\/rs11202347"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.geomorph.2015.02.013","article-title":"Beyond the angle of repose: A review and synthesis of landslide processes in response to rapid uplift, Eel River, Northern California","volume":"236","author":"Roering","year":"2015","journal-title":"Geomorphology"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3353","DOI":"10.1007\/s10346-021-01732-3","article-title":"Geologic controls of slow-moving landslides near the US West Coast","volume":"18","author":"Xu","year":"2021","journal-title":"Landslides"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2540","DOI":"10.1007\/s11629-021-6686-6","article-title":"Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017","volume":"18","author":"Su","year":"2021","journal-title":"J. Mt. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"677","DOI":"10.11834\/jrs.20210094","article-title":"Early identification and characteristics of potential landslides in the Bailong River Basin using InSAR technique","volume":"25","author":"Li","year":"2021","journal-title":"Natl. Remote Sens. Bulletin."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s10346-017-0860-5","article-title":"Weathering Characterization for Landslides Modeling in Granitoid Rock Masses of the Capo Vaticano Promontory (Calabria, Italy)","volume":"15","author":"Ietto","year":"2018","journal-title":"Landslides"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1080\/01431160010014260","article-title":"GIS-Based Landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas","volume":"23","author":"Saha","year":"2002","journal-title":"Int J. Remote Sens."},{"key":"ref_56","first-page":"393","article-title":"Influence of Tectonics and Morphometric Features on the Landslide Distribution: A Case Study from the Mesima Basin (Calabria, South Italy)","volume":"32","author":"Conforti","year":"2019","journal-title":"J. Earth Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/14\/3431\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:52:27Z","timestamp":1760140347000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/14\/3431"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":56,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["rs14143431"],"URL":"https:\/\/doi.org\/10.3390\/rs14143431","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,17]]}}}