Xinxiang Zhu (Ph.D. candidate) Sean , Craig L. Glennie Ph.D., P.Eng. , Benjamin A. Brooks Ph.D. , Todd L. Ericksen M.S., P.Eng.
{"title":"利用移动激光扫描产生的持久城市大地测量标记监测地震断层蠕变","authors":"Xinxiang Zhu (Ph.D. candidate) Sean , Craig L. Glennie Ph.D., P.Eng. , Benjamin A. Brooks Ph.D. , Todd L. Ericksen M.S., P.Eng.","doi":"10.1016/j.ophoto.2021.100009","DOIUrl":null,"url":null,"abstract":"<div><p>High resolution and high accuracy distributed detection of fault creep deformation remains challenging given limited observations and associated change detection strategies. A mobile laser scanning-based change detection method that is capable of measuring centimeter-level near-field (<span><math><mo><</mo><mn>150</mn></math></span> m from fault) deformation is described. The methodology leverages the use of man-made features in the built environment as geodetic markers that can be temporally tracked. The proposed framework consists of a RANSAC-based corresponding plane detector and a combined least squares displacement estimator. Using repeat mobile laser scanning data collected in 2015 and 2017 on a 2 km segment of the Hayward fault, near-field fault creep displacement and non-linear creep deformation are estimated. The detection results reveal 2.5 ± 1.5 cm of accumulated fault parallel creep displacement in the far-field. The laser scanning estimates of displacement match collocated alinement array observations at the 4 mm level in the near field. The proposed change detection framework is shown to be accurate and practical for fault creep displacement detection in the near field and the detected non-linear creep displacement patterns will help elucidate the complex physics of surface faulting.</p></div>","PeriodicalId":100730,"journal":{"name":"ISPRS Open Journal of Photogrammetry and Remote Sensing","volume":"2 ","pages":"Article 100009"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667393221000090/pdfft?md5=9dbc42c227f1d8a9bb0569ac5a8181f1&pid=1-s2.0-S2667393221000090-main.pdf","citationCount":"2","resultStr":"{\"title\":\"Monitoring aseismic fault creep using persistent urban geodetic markers generated from mobile laser scanning\",\"authors\":\"Xinxiang Zhu (Ph.D. candidate) Sean , Craig L. Glennie Ph.D., P.Eng. , Benjamin A. Brooks Ph.D. , Todd L. Ericksen M.S., P.Eng.\",\"doi\":\"10.1016/j.ophoto.2021.100009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>High resolution and high accuracy distributed detection of fault creep deformation remains challenging given limited observations and associated change detection strategies. A mobile laser scanning-based change detection method that is capable of measuring centimeter-level near-field (<span><math><mo><</mo><mn>150</mn></math></span> m from fault) deformation is described. The methodology leverages the use of man-made features in the built environment as geodetic markers that can be temporally tracked. The proposed framework consists of a RANSAC-based corresponding plane detector and a combined least squares displacement estimator. Using repeat mobile laser scanning data collected in 2015 and 2017 on a 2 km segment of the Hayward fault, near-field fault creep displacement and non-linear creep deformation are estimated. The detection results reveal 2.5 ± 1.5 cm of accumulated fault parallel creep displacement in the far-field. The laser scanning estimates of displacement match collocated alinement array observations at the 4 mm level in the near field. The proposed change detection framework is shown to be accurate and practical for fault creep displacement detection in the near field and the detected non-linear creep displacement patterns will help elucidate the complex physics of surface faulting.</p></div>\",\"PeriodicalId\":100730,\"journal\":{\"name\":\"ISPRS Open Journal of Photogrammetry and Remote Sensing\",\"volume\":\"2 \",\"pages\":\"Article 100009\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667393221000090/pdfft?md5=9dbc42c227f1d8a9bb0569ac5a8181f1&pid=1-s2.0-S2667393221000090-main.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISPRS Open Journal of Photogrammetry and Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667393221000090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISPRS Open Journal of Photogrammetry and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667393221000090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monitoring aseismic fault creep using persistent urban geodetic markers generated from mobile laser scanning
High resolution and high accuracy distributed detection of fault creep deformation remains challenging given limited observations and associated change detection strategies. A mobile laser scanning-based change detection method that is capable of measuring centimeter-level near-field ( m from fault) deformation is described. The methodology leverages the use of man-made features in the built environment as geodetic markers that can be temporally tracked. The proposed framework consists of a RANSAC-based corresponding plane detector and a combined least squares displacement estimator. Using repeat mobile laser scanning data collected in 2015 and 2017 on a 2 km segment of the Hayward fault, near-field fault creep displacement and non-linear creep deformation are estimated. The detection results reveal 2.5 ± 1.5 cm of accumulated fault parallel creep displacement in the far-field. The laser scanning estimates of displacement match collocated alinement array observations at the 4 mm level in the near field. The proposed change detection framework is shown to be accurate and practical for fault creep displacement detection in the near field and the detected non-linear creep displacement patterns will help elucidate the complex physics of surface faulting.