{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T16:03:13Z","timestamp":1772726593042,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41977059"],"award-info":[{"award-number":["41977059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Coal mine surface subsidence detection determines the damage degree of coal mining, which is of great importance for the mitigation of hazards and property loss. Therefore, it is very important to detect deformation during coal mining. Currently, there are many methods used to detect deformations in coal mining areas. However, with most of them, the accuracy is difficult to guarantee in mountainous areas, especially for shallow seam mining, which has the characteristics of active, rapid, and high-intensity surface subsidence. In response to these problems, we made a digital subsidence model (DSuM) for deformation detection in coal mining areas based on airborne light detection and ranging (LiDAR). First, the entire point cloud of the study area was obtained by coarse to fine registration. Second, noise points were removed by multi-scale morphological filtering, and the progressive triangulation filtering classification (PTFC) algorithm was used to obtain the ground point cloud. Third, the DEM was generated from the clean ground point cloud, and an accurate DSuM was obtained through multiple periods of DEM difference calculations. Then, data mining was conducted based on the DSuM to obtain parameters such as the maximum surface subsidence value, a subsidence contour map, the subsidence area, and the subsidence boundary angle. Finally, the accuracy of the DSuM was analyzed through a comparison with ground checkpoints (GCPs). The results show that the proposed method can achieve centimeter-level accuracy, which makes the data a good reference for mining safety considerations and subsequent restoration of the ecological environment.<\/jats:p>","DOI":"10.3390\/rs14020421","type":"journal-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T20:49:21Z","timestamp":1642452561000},"page":"421","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["An Accurate Digital Subsidence Model for Deformation Detection of Coal Mining Areas Using a UAV-Based LiDAR"],"prefix":"10.3390","volume":"14","author":[{"given":"Junliang","family":"Zheng","sequence":"first","affiliation":[{"name":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}]},{"given":"Wanqiang","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}]},{"given":"Xiaohu","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}]},{"given":"Bolin","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}]},{"given":"Lingxiao","family":"Bai","sequence":"additional","affiliation":[{"name":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s002540000140","article-title":"Mining subsidence and its effect on the environment: Some differing examples","volume":"40","author":"Bell","year":"2000","journal-title":"Environ. Geol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1650","DOI":"10.1002\/ldr.2303","article-title":"The impact of underground longwall mining on prime agricultural land: A review and research agenda","volume":"27","author":"Lechner","year":"2016","journal-title":"Land Degrad. Dev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.landusepol.2017.11.059","article-title":"Effects of land use transitions due to underground coal mining on ecosystem services in high groundwater table areas: A case study in the Yanzhou coalfield","volume":"71","author":"Xiao","year":"2018","journal-title":"Land Use Policy"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Peng, S. (2020). Surface subsidence damage, mitigation and control. Surface Subsidence Engineering: Theory and Practice, CSIRO Publishing.","DOI":"10.1071\/9781486312559"},{"key":"ref_5","unstructured":"Stoch, T. (2019). Horizontal Displacement in Mining Area Protection, AGH University of Science and Technology Press."},{"key":"ref_6","first-page":"6","article-title":"Monitoring and prediction of mining subsidence combined with SBAS-InSAR and support vector regression","volume":"36","author":"Shi","year":"2021","journal-title":"Remote Sens. Inf."},{"key":"ref_7","first-page":"18","article-title":"Progress of large gradient deformation monitoring technology in mining area combined with InSAR","volume":"7","author":"Chen","year":"2018","journal-title":"Surv. Mapp. Bull."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Pawluszek-Filipiak, K., and Borkowski, A. (2020). Integration of DInSAR and SBAS techniques to determine mining-related deformations using Sentinel-1 data: The case study of Rydutowy mine in Poland. Remote Sens., 12.","DOI":"10.3390\/rs12020242"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5300","DOI":"10.3390\/rs70505300","article-title":"Combination of conventional and advanced DInSAR to monitor very fast mining subsidence with TerraSAR-X data: Bytom city (Poland)","volume":"7","author":"Herrera","year":"2015","journal-title":"Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s10346-018-0978-0","article-title":"Multitemporal UAV surveys for landslide mapping and characterization","volume":"15","author":"Rossi","year":"2018","journal-title":"Landslides"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12518-015-0165-0","article-title":"UAV monitoring and documentation of a large landslide","volume":"8","author":"Lindner","year":"2015","journal-title":"Appl. Geomat."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ge, L., Li, X., and Ng, H.M. (2016, January 10\u201315). UAV for mining applications: A case study at an open-cut mine and a longwall mine in New South Wales, Australia. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7730412"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"6635","DOI":"10.3390\/rs70606635","article-title":"Integration of UAV-based photogrammetry and terrestrial laser scanning for the three-dimensional mapping and monitoring of open-pit mine areas","volume":"7","author":"Tong","year":"2015","journal-title":"Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"024505","DOI":"10.1117\/1.JRS.15.024505","article-title":"Time-series unmanned aerial vehicle photogrammetry monitoring method without ground control points to measure mining subsidence","volume":"15","author":"Lian","year":"2021","journal-title":"J. Appl. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Ignjatovi Stupar, D., Roer, J., and Vuli, M. (2020). Investigation of unmanned aerial vehicles-based photogrammetry for large mine subsidence monitoring. Minerals, 10.","DOI":"10.3390\/min10020196"},{"key":"ref_16","unstructured":"Chen, P. (2018). Research on Mining Subsidence Monitoring Method of UAV Tilt Photogrammetry. [Master\u2019s Thesis, Taiyuan University of Technology]."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Wikaa, P., Gruszczy\u0144ski, W., Stoch, T., Puniach, E., and W\u00f3jcik, A. (2020). UAV Applications for determination of land deformations caused by underground mining. Remote Sens., 12.","DOI":"10.3390\/rs12111733"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"16372","DOI":"10.1109\/ACCESS.2020.2967410","article-title":"Unmanned aerial vehicle (UAV) photogrammetry technology for dynamic mining subsidence monitoring and parameter inversion: A case study in China","volume":"8","author":"Zhou","year":"2020","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Rauhala, A., Tuomela, A., Davids, C., and Rossi, P.M. (2017). UAV remote sensing surveillance of a mine tailings impoundment in sub-arctic conditions. Remote Sens., 9.","DOI":"10.3390\/rs9121318"},{"key":"ref_20","first-page":"1","article-title":"Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points","volume":"72","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2785","DOI":"10.3390\/rs122785","article-title":"Application of a terrestrial laser scanner (TLS) to the study of the S\u00e9chilienne landslide (Is\u00e8re, France)","volume":"2","author":"Johan","year":"2010","journal-title":"Remote Sens."},{"key":"ref_22","first-page":"70","article-title":"Application of 3D laser scanning technology in dam subsidence monitoring in mining area","volume":"6","author":"Guo","year":"2014","journal-title":"Mine Surv."},{"key":"ref_23","first-page":"132","article-title":"Monitoring mining subsidence by three-dimensional laser scanning technology","volume":"1","author":"Bai","year":"2017","journal-title":"Metal Mines"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3575","DOI":"10.1007\/s10064-020-01767-1","article-title":"Study on subsidence monitoring technology using terrestrial 3D laser scanning without a target in a mining area: An example of Wangjiata coal mine, China","volume":"79","author":"Gu","year":"2020","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Brede, B., Lau, A., Bartholomeus, H.M., and Kooistra, L. (2017). Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR. Sensors, 17.","DOI":"10.3390\/s17102371"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Yu, H., Lu, X., Gang, C., and Ge, X. (2011, January 24\u201326). Detection and volume estimation of mining subsidence based on multi-temporal LiDAR data. Proceedings of the 19th International Conference on Geoinformatics (IEEE 2011), Shanghai, China.","DOI":"10.1109\/GeoInformatics.2011.5980892"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Yu, H., Lu, X., Ge, X., and Cheng, G. (2010, January 18\u201320). Digital terrain model extraction from airborne LiDAR data in complex mining area. Proceedings of the 18th International Conference on Geoinformatics (IEEE 2010), Beijing, China.","DOI":"10.1109\/GEOINFORMATICS.2010.5567781"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"06015002","DOI":"10.1061\/(ASCE)SU.1943-5428.0000166","article-title":"Subsidence monitoring using lidar and morton code indexing","volume":"142","author":"Ao","year":"2016","journal-title":"J. Surv. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2018.02.008","article-title":"Coincident beach surveys using UAS, vehicle mounted and airborne laser scanner: Point cloud inter-comparison and effects of surface type heterogeneity on elevation accuracies","volume":"208","author":"Elsner","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Siranec, M., Hger, M., and Otcenasova, A. (2021). Advanced power line diagnostics using point cloud data\u2014Possible applications and limits. Remote Sens., 13.","DOI":"10.3390\/rs13101880"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Baku\u0142a, K., Pilarska, M., Salach, A., and Kurczy\u0144ski, Z. (2020). Detection of levee damage based on UAS data\u2014Optical imagery and LiDAR point clouds. Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9040248"},{"key":"ref_32","first-page":"113","article-title":"Study on extraction method of vegetation restoration height in mining area based on lidar","volume":"48","author":"Chen","year":"2020","journal-title":"Coal Sci. Technol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.rse.2006.02.011","article-title":"LiDAR measurement of sagebrush steppe vegetation heights","volume":"102","author":"Streutker","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_34","unstructured":"Song, S. (2009). Quantitative Evaluation of Ecological Environment Damage Caused by Coal Mining in Yushenfu Mining Area. [Master\u2019s Thesis, Xi\u2019an University of Science and Technology]."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hsieh, Y.C., Chan, Y.C., and Hu, J.C. (2016). Digital elevation model differencing and error estimation from multiple sources: A case study from the Meiyuan Shan landslide in Taiwan. Remote Sens., 8.","DOI":"10.3390\/rs8030199"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Chen, Q., Wang, H., Zhang, H., Sun, M., and Liu, X. (2016). A point cloud filtering approach to generating DTMs for steep mountainous areas and adjacent residential areas. Remote Sens., 8.","DOI":"10.3390\/rs8010071"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Salach, A., Bakua, K., Pilarska, M., Ostrowski, W., G\u00f3rski, K., and Kurczy\u0144ski, Z. (2018). Accuracy assessment of point clouds from LiDAR and dense image matching acquired using the UAV platform for DTM creation. Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7090342"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.isprsjprs.2016.07.002","article-title":"Two-step adaptive extraction method for ground points and breaklines from lidar point clouds","volume":"119","author":"Yang","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","first-page":"110","article-title":"DEM generation from laser scanner data using adaptive TIN models","volume":"33","author":"Axelsson","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_40","unstructured":"Jiao, X.H. (2018). Research on Airborne LiDAR Point Cloud Filtering Algorithm and DEM Interpolation Method. [Master\u2019s Thesis, Taiyuan University of Technology]."},{"key":"ref_41","first-page":"400","article-title":"Comparative study on interpolation methods based on ground lidar point cloud data","volume":"4","author":"Kang","year":"2020","journal-title":"Geod. Geodyn."},{"key":"ref_42","unstructured":"Dougherty, E.R. (1992). An Introduction to Morphological Image Processing, SPIE Optical Engineering Press."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Maciuk, K., and Lewi\u0144ska, P. (2019). High-rate monitoring of satellite clocks using two methods of averaging time. Remote Sens., 11.","DOI":"10.3390\/rs11232754"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/2\/421\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:02:46Z","timestamp":1760133766000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/2\/421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,17]]},"references-count":43,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,1]]}},"alternative-id":["rs14020421"],"URL":"https:\/\/doi.org\/10.3390\/rs14020421","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,17]]}}}