{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:32:10Z","timestamp":1770748330494,"version":"3.49.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031314162","type":"print"},{"value":"9783031314179","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-31417-9_15","type":"book-chapter","created":{"date-parts":[[2023,5,6]],"date-time":"2023-05-06T12:02:31Z","timestamp":1683374551000},"page":"190-204","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Detection of\u00a0Coal Quarry and\u00a0Coal Dump Regions Using the\u00a0Presence of\u00a0Mine Water Bodies from\u00a0Landsat 8 OLI\/TIRS Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9045-2091","authenticated-orcid":false,"given":"Jit","family":"Mukherjee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayanta","family":"Mukherjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debashish","family":"Chakravarty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,7]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Aswatha, S.M., Saini, V., Mukherjee, J., Biswas, P.K., Aikat, S., Misra, A.: Unsupervised detection of surface mine sites using sentinel multi-spectral imagery and dual-polarimetric SAR data. In: Proceedings of the 11th Indian Conference on Computer Vision, Graph. Image Process., pp. 1\u20138 (2018)","DOI":"10.1145\/3293353.3293405"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Chen, W., Liu, L., Zhang, C., Wang, J., Wang, J., Pan, Y.: Monitoring the seasonal bare soil areas in beijing using multitemporal tm images. In: Geoscience and Remote Sensing Symposium, 2004. Proceedings. 2004 IEEE International. 5, pp. 3379\u20133382. IEEE (2004)","DOI":"10.1109\/IGARSS.2004.1370429"},{"issue":"4","key":"15_CR3","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1080\/17480930.2011.608889","volume":"25","author":"N Demirel","year":"2011","unstructured":"Demirel, N., D\u00fczg\u00fcn, \u015e, Emil, M.K.: Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images. Int. J. Min. Reclam. Enviro. 25(4), 342\u2013349 (2011)","journal-title":"Int. J. Min. Reclam. Enviro."},{"issue":"1","key":"15_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.coal.2010.11.010","volume":"86","author":"N Demirel","year":"2011","unstructured":"Demirel, N., Emil, M.K., Duzgun, H.S.: Surface coal mine area monitoring using multi-temporal high-resolution satellite imagery. Int. J. Coal Geol. 86(1), 3\u201311 (2011)","journal-title":"Int. J. Coal Geol."},{"key":"15_CR5","unstructured":"Drury, S.A.: Image interpretation in geology. No. 551.0285 D796 1993, Chapman and Hall, London (1993)"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.rse.2013.08.029","volume":"140","author":"GL Feyisa","year":"2014","unstructured":"Feyisa, G.L., Meilby, H., Fensholt, R., Proud, S.R.: Automated water extraction index: A new technique for surface water mapping using Landsat imagery. Remote Sens. Environ. 140, 23\u201335 (2014)","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"15_CR7","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1080\/10106040802395648","volume":"24","author":"Y Gao","year":"2009","unstructured":"Gao, Y., Kerle, N., Mas, J.F.: Object-based image analysis for coal fire-related land cover mapping in coal mining areas. Geocarto Int. 24(1), 25\u201336 (2009)","journal-title":"Geocarto Int."},{"issue":"5","key":"15_CR8","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1080\/00288230709510408","volume":"50","author":"Y Han","year":"2007","unstructured":"Han, Y., Li, M., Li, D.: Vegetation index analysis of multi-source remote sensing data in coal mine wasteland. NZ. J. Agric. Res. 50(5), 1243\u20131248 (2007)","journal-title":"NZ. J. Agric. Res."},{"issue":"3","key":"15_CR9","doi-asserted-by":"publisher","first-page":"3088","DOI":"10.3390\/rs70303088","volume":"7","author":"H Huo","year":"2015","unstructured":"Huo, H., Ni, Z., Gao, C., Zhao, E., Zhang, Y., Lian, Y., Zhang, H., Zhang, S., Jiang, X., Song, X., Zhou, P., Cui, T.: A study of coal fire propagation with remotely sensed thermal infrared data. Remote Sens. 7(3), 3088\u20133113 (2015)","journal-title":"Remote Sens."},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.jenvman.2016.07.070","volume":"182","author":"SK Karan","year":"2016","unstructured":"Karan, S.K., Samadder, S.R., Maiti, S.K.: Assessment of the capability of remote sensing and GIS techniques for monitoring reclamation success in coal mine degraded lands. J. Environ. Manage. 182, 272\u2013283 (2016)","journal-title":"J. Environ. Manage."},{"key":"15_CR11","unstructured":"Manevitz, L.M., Yousef, M.: One-class SVMS for document classification. J. Mach. Learn. Res., 139\u2013154 (2001)"},{"issue":"1","key":"15_CR12","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1080\/14498596.2017.1345666","volume":"63","author":"N Mezned","year":"2018","unstructured":"Mezned, N., Dkhala, B., Abdeljaouad, S.: Multitemporal and multisensory Landsat ETM+ and OLI 8 data for mine waste change detection in northern Tunisia. J. Spat. Sci. 63(1), 135\u2013153 (2018)","journal-title":"J. Spat. Sci."},{"issue":"1","key":"15_CR13","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1080\/12269328.2012.674430","volume":"15","author":"T Mien","year":"2012","unstructured":"Mien, T.: Mine waste water management and treatment in coal mines in Vietnam. Geosyst. Eng. 15(1), 66\u201370 (2012)","journal-title":"Geosyst. Eng."},{"key":"15_CR14","doi-asserted-by":"publisher","unstructured":"Mukherjee, J., Mukhopadhyay, J., Chakravarty, D., Aikat, S.: Automated seasonal detection of coal surface mine regions from Landsat 8 OLI images. In: IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 2435\u20132438 (2019). https:\/\/doi.org\/10.1109\/IGARSS.2019.8898789","DOI":"10.1109\/IGARSS.2019.8898789"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Mukherjee, J.: A study on automated detection of surface and sub-surface coal seam fires using isolation forest from Landsat 8 OLI\/TIRS images. In: IGARSS 2022\u20132022 IEEE International Geoscience and Remote Sensing Symposium, pp. 5512\u20135515 (2022)","DOI":"10.1109\/IGARSS46834.2022.9883726"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Mukherjee, J., Mukherjee, J., Chakravarty, D.: Automated seasonal separation of mine and non mine water bodies from Landsat 8 OLI\/TIRS using clay mineral and iron oxide ratio. IEEE J. Sel. Topics in Appl. Earth Observ. Remote Sens. 12(7), 2550\u20132556 (2019)","DOI":"10.1109\/JSTARS.2019.2895385"},{"key":"15_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/978-981-15-8697-2_45","volume-title":"Computer Vision, Pattern Recognition, Image Processing, and Graphics","author":"J Mukherjee","year":"2020","unstructured":"Mukherjee, J., Mukherjee, J., Chakravarty, D.: Automated Detection of Mine Water Bodies Using Landsat 8 OLI\/TIRS in Jharia. In: Babu, R.V., Prasanna, M., Namboodiri, V.P. (eds.) NCVPRIPG 2019. CCIS, vol. 1249, pp. 480\u2013489. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-8697-2_45"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Mukherjee, J., Mukherjee, J., Chakravarty, D., Aikat, S.: A novel index to detect opencast coal mine areas from Landsat 8 OLI\/TIRS. IEEE J. Sel. Topics in Appl. Earth Observ. Remote Sens. 12(3), 891\u2013897 (2019)","DOI":"10.1109\/JSTARS.2019.2896842"},{"key":"15_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/978-3-030-34869-4_43","volume-title":"Pattern Recognition and Machine Intelligence","author":"J Mukherjee","year":"2019","unstructured":"Mukherjee, J., Mukherjee, J., Chakravarty, D., Aikat, S.: Unsupervised Detection of Active, New, and Closed Coal Mines with Reclamation Activity from Landsat 8 OLI\/TIRS Images. In: Deka, B., Maji, P., Mitra, S., Bhattacharyya, D.K., Bora, P.K., Pal, S.K. (eds.) PReMI 2019. LNCS, vol. 11941, pp. 397\u2013404. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-34869-4_43"},{"issue":"28","key":"15_CR20","doi-asserted-by":"publisher","first-page":"35605","DOI":"10.1007\/s11042-020-10479-3","volume":"80","author":"J Mukherjee","year":"2021","unstructured":"Mukherjee, J., Mukherjee, J., Chakravarty, D., Aikat, S.: Seasonal detection of coal overburden dump regions in unsupervised manner using Landsat 8 OLI\/TIRS images at jharia coal fields. Multimedia Tools Appl. 80(28), 35605\u201335627 (2021)","journal-title":"Multimedia Tools Appl."},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Mukherjee, J., Mukhopadhyay, J., Chakravarty, D.: Investigation of seasonal separation in mine and non mine water bodies using local feature analysis of land sat 8 OLI\/TIRS images. In: 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 8961\u20138964 (2018)","DOI":"10.1109\/IGARSS.2018.8517579"},{"issue":"4","key":"15_CR22","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1080\/10106049.2012.706648","volume":"28","author":"GP Petropoulos","year":"2013","unstructured":"Petropoulos, G.P., Partsinevelos, P., Mitraka, Z.: Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal Landsat TM imagery. Geocarto Int. 28(4), 323\u2013342 (2013)","journal-title":"Geocarto Int."},{"issue":"1","key":"15_CR23","doi-asserted-by":"publisher","first-page":"973","DOI":"10.5721\/EuJRS20164951","volume":"49","author":"R Popelkov\u00e1","year":"2016","unstructured":"Popelkov\u00e1, R., Mulkov\u00e1, M.: Multitemporal aerial image analysis for the monitoring of the processes in the landscape affected by deep coal mining. Eur. J. Remote Sens. 49(1), 973\u20131009 (2016)","journal-title":"Eur. J. Remote Sens."},{"issue":"3","key":"15_CR24","doi-asserted-by":"publisher","first-page":"4484","DOI":"10.1007\/s10668-020-00784-0","volume":"23","author":"AK Ranjan","year":"2021","unstructured":"Ranjan, A.K., Sahoo, D., Gorai, A.: Quantitative assessment of landscape transformation due to coal mining activity using earth observation satellite data in Jharsuguda coal mining region, Odisha, India. Environ. Dev. Sustain. 23(3), 4484\u20134499 (2021)","journal-title":"Environ. Dev. Sustain."},{"key":"15_CR25","first-page":"582","volume":"12","author":"B Sch\u00f6lkopf","year":"1999","unstructured":"Sch\u00f6lkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J., Platt, J.: Support vector method for novelty detection. Adv. Neural Inf. Process. Syst. 12, 582\u2013588 (1999)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"15_CR26","doi-asserted-by":"crossref","unstructured":"Tracher, G.B., T.T.: Coal fire burning out of control around the world: thermodynamic recipe for environmental catastrophe. Int. J. Coal Geol. 59, 7\u201317 (2004)","DOI":"10.1016\/j.coal.2003.03.002"},{"key":"15_CR27","unstructured":"USGS: Using the USGS Landsat Level-1 Data Product. https:\/\/www.usgs.gov\/land-resources\/nli\/landsat\/using-usgs-landsat-level-1-data-product\/ Accessed 11 Sep 2019"},{"issue":"14","key":"15_CR28","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1080\/01431160600589179","volume":"27","author":"H Xu","year":"2006","unstructured":"Xu, H.: Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 27(14), 3025\u20133033 (2006)","journal-title":"Int. J. Remote Sens."},{"issue":"1","key":"15_CR29","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.11.015025","volume":"11","author":"X Zeng","year":"2017","unstructured":"Zeng, X., Liu, Z., He, C., Ma, Q., Wu, J.: Detecting surface coal mining areas from remote sensing imagery: an approach based on object-oriented decision trees. J. Appl. Remote Sens. 11(1), 015025 (2017)","journal-title":"J. Appl. Remote Sens."},{"key":"15_CR30","doi-asserted-by":"publisher","unstructured":"Zhang, M., Zhou, W., Li, Y.: The analysis of object-based change detection in mining area: a case study with pingshuo coal mine. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2\/W7, 1017\u20131023 (2017). https:\/\/doi.org\/10.5194\/isprs-archives-XLII-2-W7-1017-2017","DOI":"10.5194\/isprs-archives-XLII-2-W7-1017-2017"}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-31417-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T22:46:23Z","timestamp":1729377983000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-31417-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031314162","9783031314179"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-31417-9_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nagpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/vnit.ac.in\/cvip2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"307","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}