{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T04:02:04Z","timestamp":1775707324589,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T00:00:00Z","timestamp":1554336000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201806420035"],"award-info":[{"award-number":["201806420035"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41604005"],"award-info":[{"award-number":["41604005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51774270"],"award-info":[{"award-number":["51774270"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011171","name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection","doi-asserted-by":"publisher","award":["SKLGP2016K008"],"award-info":[{"award-number":["SKLGP2016K008"]}],"id":[{"id":"10.13039\/501100011171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Mining goafs can cause many hazards, such as burst water, spontaneous combustion of coal seams, surface collapse, etc. In this paper, a feature-points-based method for the efficient location of mining goafs is proposed. Different interferometric synthetic aperture radar (DInSAR) is used to monitor the subsidence basin caused by mining. Using the principles of the probability integral method (PIM), the inflection points and the boundary points of the basin monitored by DInSAR are determined and used as feature points to locate the goaf. In this paper, the necessity of locating goafs and the traditional methods used for this task are discussed first. Then, the results of verifying the proposed method by both a simulation experiment and real data experiment are presented. Six RADARSAT-2 images from 13th October 2015 to 5th March 2016 were used to acquire the subsidence basin caused by the 15235 working faces of the Jiulong mining area. The average relative errors of the simulation experiment and real data experiment were about 6.43% and 12.59%, respectively. The average absolute errors of the simulation experiment and real data experiment were about 28 m and 38 m, respectively. In the final part of this paper, the error sources are discussed to illustrate the factors that can affect the location result.<\/jats:p>","DOI":"10.3390\/rs11070812","type":"journal-article","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T11:31:57Z","timestamp":1554377517000},"page":"812","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Goaf Locating Based on InSAR and Probability Integration Method"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4900-2109","authenticated-orcid":false,"given":"Sen","family":"Du","sequence":"first","affiliation":[{"name":"NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology (CUMT), Xuzhou 221116, China"},{"name":"School of Environment Science and Spatial Informatics, China University of Mining and Technology (CUMT), Xuzhou 221116, China"},{"name":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology(CUMT), Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1903-242X","authenticated-orcid":false,"given":"Yunjia","family":"Wang","sequence":"additional","affiliation":[{"name":"NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology (CUMT), Xuzhou 221116, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1097-4728","authenticated-orcid":false,"given":"Meinan","family":"Zheng","sequence":"additional","affiliation":[{"name":"NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology (CUMT), Xuzhou 221116, China"},{"name":"School of Environment Science and Spatial Informatics, China University of Mining and Technology (CUMT), Xuzhou 221116, China"}]},{"given":"Dawei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology(CUMT), Xuzhou 221116, China"}]},{"given":"Yuanping","family":"Xia","sequence":"additional","affiliation":[{"name":"Faculty of Geomatics, East China University of Technology(ECUT), Nanchang 330029, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,4]]},"reference":[{"key":"ref_1","first-page":"29","article-title":"Study on Geological Hazards Due to Mining Subsidence and Their Countermeasures in Mining Area","volume":"18","author":"Liu","year":"2005","journal-title":"Jiangsu Environ. Sci. Technol."},{"key":"ref_2","first-page":"269","article-title":"Analysis of subsidence status formation mechanisms in shallow mining seam of ravine cutting area","volume":"32","author":"Yu","year":"2012","journal-title":"J. Xi\u2019an Univ. Sci. Technol."},{"key":"ref_3","first-page":"6","article-title":"Research Progress and Prospect of the Control Technology for Surface and Overlying Strata Subsidence","volume":"15","author":"Guo","year":"2005","journal-title":"China Saf. Sci. J."},{"key":"ref_4","first-page":"351","article-title":"Geological Environmental Problems Induced by Coalfield Exploition and Control Countermeasures","volume":"14","author":"Zhou","year":"2007","journal-title":"Res. Soil Water Conserv."},{"key":"ref_5","first-page":"1249","article-title":"Goal Mine Detection with Transient Electromagnetic Method and Magnetic Method","volume":"66","author":"Jia","year":"2018","journal-title":"Chem. Eng. Trans."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.mstc.2011.05.030","article-title":"Land subsidence monitoring by D-InSAR technique","volume":"21","author":"Fan","year":"2011","journal-title":"Min. Sci. Technol. (China)"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"9166","DOI":"10.3390\/rs70709166","article-title":"Monitoring mining subsidence using a combination of phase-stacking and offset-tracking methods","volume":"7","author":"Fan","year":"2015","journal-title":"Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4818","DOI":"10.1109\/TGRS.2016.2551779","article-title":"InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements","volume":"54","author":"Yang","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","first-page":"289","article-title":"Application comparison of D-InSAR and PS-InSAR techniques in Suzhou land subsidence monitoring","volume":"34","author":"Zhu","year":"2010","journal-title":"J. Geol."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Solari, L., Ciampalini, A., Raspini, F., Bianchini, S., Zinno, I., Bonano, M., Manunta, M., Moretti, S., and Casagli, N. (2017). Combined use of C-and X-Band SAR data for subsidence monitoring in an urban area. Geosciences, 7.","DOI":"10.3390\/geosciences7020021"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"149","DOI":"10.3389\/feart.2018.00149","article-title":"From ERS 1\/2 to Sentinel-1: Subsidence monitoring in Italy in the last two decades","volume":"6","author":"Solari","year":"2018","journal-title":"Front. Earth Sci."},{"key":"ref_12","first-page":"1571","article-title":"Deformation monitoring of Changbaishan Tianchi volcano using D-InSAR technique and error analysis","volume":"53","author":"Han","year":"2010","journal-title":"Chin. J. Geophys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.epsl.2018.01.038","article-title":"Lava delta deformation as a proxy for submarine slope instability","volume":"488","author":"Nolesini","year":"2018","journal-title":"Earth Planet. Sci. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1126\/science.262.5139.1525","article-title":"Satellite radar interferometry for monitoring ice sheet motion: application to an Antarctic ice stream","volume":"262","author":"Goldstein","year":"1993","journal-title":"Science"},{"key":"ref_15","unstructured":"Li, X.X. (2012). An Illegal Mining Detection Method Based on D-InSAR. [Master\u2019s Thesis, China University of Mining and Technology]."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1109\/TGRS.2012.2202243","article-title":"An underground-mining detection system based on DInSAR","volume":"51","author":"Hu","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s12665-018-7488-1","article-title":"Integration of D-InSAR and GIS technology for identifying illegal underground mining in Yangquan District, Shanxi Province, China","volume":"77","author":"Xia","year":"2018","journal-title":"Environ. Earth Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.isprsjprs.2017.11.020","article-title":"Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry","volume":"135","author":"Yang","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_19","unstructured":"Peng, S.S., Ma, W., and Zhong, W. (2005). Surface Subsidence Engineering, Society for Mining, Metallurgy, and Exploration Littleton."},{"key":"ref_20","unstructured":"Deng, K.Z., Tan, Z.X., and Jiang, Y. (2015). Subject of Deformation Monitoring and Subsidence Engineering, China University of Mining and Technology Press."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1242","DOI":"10.1016\/S1003-6326(14)63185-X","article-title":"A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method","volume":"24","author":"Fan","year":"2014","journal-title":"Trans. Nonferr. Met. Soc. China"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1179\/1752270614Y.0000000153","article-title":"Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas","volume":"47","author":"Fan","year":"2015","journal-title":"Surv. Rev."},{"key":"ref_23","unstructured":"Yan, J., Wang, Y., Chen, G., Zhu, Y., Chen, Y., and Yin, Z. (2019, April 02). Ground Subsidence Monitoring with D-InSAR in Qianyingzi Coal Mine. Available online: http:\/\/en.cnki.com.cn\/Article_en\/CJFDTOTAL-JSKS201103039.htm."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5100","DOI":"10.1364\/AO.34.005100","article-title":"Unwrapping noisy phase maps by use of a minimum-cost-matching algorithm","volume":"34","author":"Buckland","year":"1995","journal-title":"Appl. Opt."},{"key":"ref_25","unstructured":"He, H., and Yang, L. (1991). Mining Subsidence, China University of Mining and Technology Press."},{"key":"ref_26","unstructured":"Bureau, C.I.S. (2000). Regulations for Coal Pillar Setting and Coal Pressure Mining in Buildings, Water Bodies, Railways and Main Roadways, China Coal Industry Publishing House."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/s10064-016-0944-9","article-title":"The influence of an abandoned goaf on surface subsidence in an adjacent working coal face: A prediction method","volume":"77","author":"Li","year":"2018","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Hanssen, R.F. (2001). Radar Interferometry: Data Interpretation and Error Analysis, Springer Science & Business Media.","DOI":"10.1007\/0-306-47633-9"},{"key":"ref_29","first-page":"92","article-title":"Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data","volume":"61","author":"Ng","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/7\/812\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:43:01Z","timestamp":1760186581000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/7\/812"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,4]]},"references-count":29,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["rs11070812"],"URL":"https:\/\/doi.org\/10.3390\/rs11070812","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,4]]}}}