{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T08:27:20Z","timestamp":1765268840727,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,3,26]],"date-time":"2022-03-26T00:00:00Z","timestamp":1648252800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41974159"],"award-info":[{"award-number":["41974159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["8212016"],"award-info":[{"award-number":["8212016"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"name":"2021 Graduate Innovation Fund Project of China University of Geosciences, Beijing","award":["640221003"],"award-info":[{"award-number":["640221003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Road safety is important for the rapid development of the economy and society. Thus, it is of great significance to monitor the dynamic changing processes of road diseases, such as cavities, to provide a basis for the daily maintenance of roads and prevent any possible car accidents. The ground penetrating radar (GPR) technology is widely used in road disease detection due to its advantages of nondestructiveness, rapidness, and high resolution. Traditionally, one-time 2D GPR detection cannot obtain the 3D spatial changes of subgrades. Thus, we developed a road subgrade monitoring method based on the time-lapse full-coverage (TLFC) 3D GPR technique by focusing on solving the key problems of time and spatial position mismatches in experimental data. Moreover, we used the time zero consistency correction, 3D data combination, and spatial position matching methods, as they greatly improve the 3D imaging quality of underground spaces. Finally, the time-lapse attribute analysis method was used in the TLFC 3D GPR data to obtain detailed characteristics and an overall rule of the dynamic subgrade change. Overall, this research proves that TLFC 3D GPR is an optimal choice for road subgrade monitoring.<\/jats:p>","DOI":"10.3390\/rs14071593","type":"journal-article","created":{"date-parts":[[2022,3,27]],"date-time":"2022-03-27T21:29:36Z","timestamp":1648416576000},"page":"1593","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Research on the Dynamic Monitoring Technology of Road Subgrades with Time-Lapse Full-Coverage 3D Ground Penetrating Radar (GPR)"],"prefix":"10.3390","volume":"14","author":[{"given":"Jianyu","family":"Ling","sequence":"first","affiliation":[{"name":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China"}]},{"given":"Rongyi","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7609-6609","authenticated-orcid":false,"given":"Ke","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Peking University, Beijing 100871, China"}]},{"given":"Linyan","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China"}]},{"given":"Yu","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China"}]},{"given":"Dongyi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1016\/j.conbuildmat.2005.06.005","article-title":"Measuring layer thicknesses with GPR-Theory to practice","volume":"19","author":"Lahouar","year":"2005","journal-title":"Constr. 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