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Coal Geology & Exploration

Abstract

Background Timely and effective monitoring of the current status of eco-geological environment holds great significance for scientific decision-making regarding both geological environment protection and ecological restoration in underground coal mining areas. Owing to its advantage of large-scale and rapid monitoring, airborne remote sensing technology has emerged as an important approach to the eco-geological environment monitoring of mining areas. Advances This study first clarifies relevant concepts of eco-geological environment monitoring, as well as the monitoring requirements and contents specific to underground coal mining areas. Accordingly, it presents a summary of the advances in research on airborne remote sensing technology for the eco-geological environment monitoring of the areas through a literature survey, followed by a discussion of both the limitations of existing studies and future research opportunities. It can be concluded that the eco-geological environment monitoring of underground coal mining areas is to, by using various observation platforms and technologies, achieve the quantitative monitoring and assessment of the structural and functional changes in the ecological-geological-hazard coupling environment system, along with disaster risks, in mining areas under the disturbance of underground coal mining. The purpose is to provide support for scientific decision-making regarding ecological restoration, as well as the prevention and control of geological disasters, in underground coal mining areas. Underground coal mining activities generally lead to geological and ecological issues such as surface subsidence, vegetation destruction, soil pollution, and water body deterioration in underground coal mining areas. In this context, airborne remote sensing has found wide applications in the eco-geological environment monitoring in underground coal mining areas, involving the monitoring of vegetation indices, soil indices, atmosphere indices, water body indices, geological environment, and hazard-related environment, yielding considerable achievements. Nevertheless, multiple challenges are yet to be addressed, including unstable data acquisition, insufficient collaboration among multi-source platforms and various sensors, and a limited number of elements and indicators that can be monitored currently.Prospects Targeting typical complex flight environments, such as windy-sandy areas in western China and areas with thick loose layers, future efforts should focus on the research and development of data preprocessing algorithms enabling data anti-interference, dynamic matching, and spatiotemporal correction for airborne remote sensing. It is necessary to gradually establish collaborative monitoring technology systems based on multi-source platforms and sensors for the eco-geological environment in underground coal mining areas by fully leveraging the collaboration between multi-platform and multi-type sensors. Furthermore, it is advisable to enhance the capabilities of multi-source data collaboration and fusion, improve the monitoring accuracy of certain indices, and expand the eco-geological environment monitoring indices related to ecological restoration.

Keywords

airborne remote sensing, unmanned aerial vehicle (UAV), underground coal mining, eco-geological environment monitoring

DOI

10.12363/issn.1001-1986.25.10.0763

Reference

[1] 祁和刚,马世志,郑忠友,等. 井工煤矿技术变革研究与中煤集团具体实践[J]. 中国煤炭,2023,49(5):80−86

QI Hegang,MA Shizhi,ZHENG Zhongyou,et al. Research on the technological transformation of underground coal mine and concrete practice of China National Coal Group[J]. China Coal,2023,49(5):80−86

[2] 康红普,姜鹏飞,刘畅. 煤巷智能快速掘进技术与装备的发展方向[J]. 采矿与岩层控制工程学报,2023,5(2):023535

KANG Hongpu,JIANG Pengfei,LIU Chang. Development of intelligent rapid excavation technology and equipment for coal mine roadways[J]. Journal of Mining and Strata Control Engineering,2023,5(2):023535

[3] 王文才,吴周康,李龙龙,等. 近距离煤层重复采动覆岩破坏规律及“两带”发育高度分析[J]. 中国矿业,2024,33(3):160−167

WANG Wencai,WU Zhoukang,LI Longlong,et al. Analysis on failure law of overlying strata and development height of “two zones” in repeated mining of close distance coal seams[J]. China Mining Magazine,2024,33(3):160−167

[4] 潘树仁,潘海洋,朱开成,等. 煤矿开采若干生态环境地质问题及解决思路[J]. 中国煤炭地质,2020,32(9):21−25

PAN Shuren,PAN Haiyang,ZHU Kaicheng,et al. Some environment geological issues and solution thinking during coal mining[J]. Coal Geology of China,2020,32(9):21−25

[5] 王议,梁宏锟,邵治涛,等. 图文解码矿山地质环境问题[J]. 中国矿业,2020,29(增刊2):98−101

WANG Yi,LIANG Hongkun,SHAO Zhitao,et al. Graphic decryption of mining geo–environment problems[J]. China Mining Magazine,2020,29(Sup.2):98−101

[6] 黄登冕,张聪,姚晓军,等. 矿山环境遥感监测研究进展[J]. 遥感技术与应用,2022,37(5):1043−1055

HUANG Dengmian,ZHANG Cong,YAO Xiaojun,et al. Research progress of mine environment remote sensing monitoring[J]. Remote Sensing Technology and Application,2022,37(5):1043−1055

[7] 张成业,李军,雷少刚,等. 矿区生态环境定量遥感监测研究进展与展望[J]. 金属矿山,2022(3):1−27

ZHANG Chengye,LI Jun,LEI Shaogang,et al. Progress and prospect of the quantitative remote sensing for monitoring the eco–environment in mining area[J]. Metal Mine,2022(3):1−27

[8] 李飞跃,李军,肖武,等. 中国矿区生态环境质量遥感评价研究进展[J]. 矿业科学学报,2025,10(3):363−383

LI Feiyue,LI Jun,XIAO Wu,et al. Evaluation of ecological environment quality in China’s mining areas by remote sensing:A review[J]. Journal of Mining Science and Technology,2025,10(3):363−383

[9] 谢础，贾玉红，黄俊，等. 航空航天技术概论(第2版)[M]. 北京：北京航空航天大学出版社，2008.

[10] 金鼎坚,王建超,吴芳,等. 航空遥感技术及其在地质调查中的应用[J]. 国土资源遥感,2019,31(4):1−10

JIN Dingjian,WANG Jianchao,WU Fang,et al. Aerial remote sensing technology and its applications in geological survey[J]. Remote Sensing for Land & Resources,2019,31(4):1−10

[11] 李刚勇,陈春波,李均力,等. 低空无人机遥感在草原监测评价中的应用进展[J]. 生态学报,2023,43(16):6889−6901

LI Gangyong,CHEN Chunbo,LI Junli,et al. Advances in applying low–altitude unmanned aerial vehicle remote sensing in grassland ecological monitoring[J]. Acta Ecologica Sinica,2023,43(16):6889−6901

[12] 袁新悦,甘淑,高莎,等. 免像控无人机技术在矿山地貌形态调查中的应用[J]. 地质通报,2023,42(2/3):479−487

YUAN Xinyue,GAN Shu,GAO Sha,et al. Application of image–free control UAV technology in mining topography survey[J]. Geological Bulletin of China,2023,42(2/3):479−487

[13] 彭桢,王宁. 无人机倾斜摄影测量在采空塌陷区生态综合治理中的应用[J]. 煤炭工程,2024,56(5):36−41

PENG Zhen,WANG Ning. Application of UAV inclined photogrammetry in comprehensive ecological restoration of subsidence area above goafs[J]. Coal Engineering,2024,56(5):36−41

[14] 王昆,杨鹏,吕文生,等. 无人机遥感在矿业领域应用现状及发展态势[J]. 工程科学学报,2020,42(9):1085−1095

WANG Kun,YANG Peng,LYU Wensheng,et al. Current status and development trend of UAV remote sensing applications in the mining industry[J]. Chinese Journal of Engineering,2020,42(9):1085−1095

[15] TRONFIMOV V T,ZILING D G. Ecological geology in the program of “universities of Russia”[J]. Geoecologiya,1994,3:117−120.

[16] 王佟,刘峰,赵欣,等. 生态地质层理论及其在矿山环境治理修复中的应用[J]. 煤炭学报,2022,47(10):3759−3773

WANG Tong,LIU Feng,ZHAO Xin,et al. Theory of ecological geological layer and its application in mine environment remediation[J]. Journal of China Coal Society,2022,47(10):3759−3773

[17] 王佟,孙杰,江涛,等. 煤炭生态地质勘查基本构架与科学问题[J]. 煤炭学报,2020,45(1):276−284

WANG Tong,SUN Jie,JIANG Tao,et al. Basic configuration and scientific problems of coal eco–geological survey[J]. Journal of China Coal Society,2020,45(1):276−284

[18] TROFIMOV V T. Ecological geology,environmental geology,geoecology:Contents and relations[J]. Moscow University Geology Bulletin,2008,63(2):59−69.

[19] 聂洪峰,肖春蕾,任伟祥,等. 生态地质研究进展与展望[J]. 中国地质调查,2021,8(6):1−8

NIE Hongfeng,XIAO Chunlei,REN Weixiang,et al. Progress and prospect of ecogeological research[J]. Geological Survey of China,2021,8(6):1−8

[20] 彭建兵,兰恒星. 略论生态地质学与生态地质环境系统[J]. 地球科学与环境学报,2022,44(6):877−893

PENG Jianbing,LAN Hengxing. Ecological geology and eco–geological environment system[J]. Journal of Earth Sciences and Environment,2022,44(6):877−893

[21] 中华人民共和国生态环境部. 生态保护红线监管技术规范生态功能评价(试行)：HJ 1142—2020[S]. 北京：中国环境科学出版社，2020.

[22] 中华人民共和国国家质量监督检验检疫总局，中国国家标准化管理委员会. 煤矿科技术语 第1部分：煤炭地质与勘查：GB/T 15663. 1—2008[S]. 北京：中国标准出版社，2009.

[23] 武强,刘宏磊,陈奇,等. 矿山环境修复治理模式理论与实践[J]. 煤炭学报,2017,42(5):1085−1092

WU Qiang,LIU Honglei,CHEN Qi,et al. Theoretical study of mine geo–environmental restoration model and its application[J]. Journal of China Coal Society,2017,42(5):1085−1092

[24] 彭苏萍,毕银丽. 黄河流域煤矿区生态环境修复关键技术与战略思考[J]. 煤炭学报,2020,45(4):1211−1221

PENG Suping,BI Yinli. Strategic consideration and core technology about environmental ecological restoration in coal mine areas in the Yellow River Basin of China[J]. Journal of China Coal Society,2020,45(4):1211−1221

[25] 李凤明,丁鑫品,白国良,等. 高原高寒露井联合矿区生态地质环境综合治理模式[J]. 煤炭学报,2021,46(12):4033−4044

LI Fengming,DING Xinpin,BAI Guoliang,et al. Eco–geological environment comprehensive management model of combined mining area of open–pits and underground mines in frigid plateau region[J]. Journal of China Coal Society,2021,46(12):4033−4044

[26] 中华人民共和国环境保护部. 建设项目竣工环境保护验收技术规范 煤炭采选：HJ 672—2013[S]. 北京：中国环境科学出版社，2014.

[27] 中华人民共和国自然资源部. 矿山生态修复技术规范 第1部分：通则：TD/T 1070. 1—2022[S]. 北京：中国标准出版社，2022.

[28] 中国地质调查局. 矿山地质环境调查评价规范：DD2014–05[S]. 北京：中国标准出版社，2014.

[29] 中华人民共和国国土资源部. 矿山地质环境监测技术规程：DZ/T 0287—2015[S]. 北京：中国标准出版社，2015.

[30] 周涛. 基于无人机遥感的煤矸石山植被信息提取与分类[D]. 徐州：中国矿业大学，2022.

ZHOU Tao. Extraction and classification of vegetation information in coal gangue pile based on UAV remote sensing[D]. Xuzhou：China University of Mining and Technology，2022.

[31] 吴志聪. 基于无人机影像的采动影响区植被特征变化精细化分析[D]. 徐州：中国矿业大学，2022.

WU Zhicong. Refinement analysis of changes in vegetation characteristic in the mining affected zones based on UAV imagery[D]. Xuzhou：China University of Mining and Technology，2022.

[32] WU Shuang,DENG Lei,ZHAI Jun,et al. Approach for monitoring spatiotemporal changes in fractional vegetation cover through unmanned aerial system–guided–satellite survey:A case study in mining area[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2023,16:5502−5513.

[33] PAWLIK M,HASKE B,FLORES H,et al. Towards a long–term unmanned aerial vehicle (UAV) monitoring framework for post–mining effects:Prosper–Haniel case[J]. Mining,2024,4(2):211−229.

[34] 张建勇. 利用无人机遥感的矿区复垦耕地的作物生物量精细化评价[D]. 北京：中国矿业大学(北京)，2020.

ZHANG Jianyong. Detailed evaluation of crop above–ground biomass of reclaimed cropland in mining regions using small unmanned aircraft system remote sensing techniques[D]. Beijing：China University of Mining & Technology (Beijing)，2020.

[35] 王静,郭文兵,陈志超,等. 基于无人机遥感的采动影响区冬小麦生物量分布特征[J]. 煤炭学报,2025,50(6):3044−3057

WANG Jing,GUO Wenbing,CHEN Zhichao,et al. Biomass distribution law of winter wheat in mining–affected area based on UAV remote sensing[J]. Journal of China Coal Society,2025,50(6):3044−3057

[36] REN He,ZHAO Yanling,XIAO Wu,et al. Unmanned aerial vehicle (UAV)–based vegetation restoration monitoring in coal waste dumps after reclamation[J]. Remote Sensing,2024,16(5):881.

[37] HU Xiao,NIU Beibei,LI Xinju,et al. Unmanned aerial vehicle (UAV) remote sensing estimation of wheat chlorophyll in subsidence area of coal mine with high phreatic level[J]. Earth Science Informatics,2021,14(4):2171−2181.

[38] LI Quansheng,LI Feiyue,GUO Junting,et al. The synergistic effect of topographic factors and vegetation indices on the underground coal mine utilizing unmanned aerial vehicle remote sensing[J]. International Journal of Environmental Research and Public Health,2023,20(4):3759.

[39] HU Xiao,LI Xinju. Information extraction of subsided cultivated land in high–groundwater–level coal mines based on unmanned aerial vehicle visible bands[J]. Environmental Earth Sciences,2019,78(14):413.

[40] 纪润清,唐佳佳,杨永均,等. 基于无人机遥感的矿山重建植被功能多样性研究[J]. 中国矿业,2023,32(2):43−50

JI Runqing,TANG Jiajia,YANG Yongjun,et al. Research on the functional diversity of restored vegetation on mined land based on UAV remote sensing[J]. China Mining Magazine,2023,32(2):43−50

[41] ZHAO Yanling,ZHENG Wenxiu,XIAO Wu,et al. Rapid monitoring of reclaimed farmland effects in coal mining subsidence area using a multi–spectral UAV platform[J]. Environmental Monitoring and Assessment,2020,192(7):474.

[42] RUAN Mengying,HU Zhenqi,DUAN Xinyi,et al. Using UAV and field measurement technology to monitor the impact of coal gangue pile temperature on vegetation ecological construction[J]. Remote Sensing,2022,14(2):353.

[43] 陈秋计,朱小雅,侯恩科,等. 矿区复垦林地生态修复无人机监测研究[J]. 煤炭科学技术,2020,48(10):192−197

CHEN Qiuji,ZHU Xiaoya,HOU Enke,et al. Study on ecological restoration of reclaimed forest land in mining area based on UAV monitoring[J]. Coal Science and Technology,2020,48(10):192−197

[44] 王美琪,杨建英,孙永康,等. 废弃矿山植被覆盖度无人机遥感快速提取技术[J]. 中国水土保持科学,2020,18(2):130−139

WANG Meiqi,YANG Jianying,SUN Yongkang,et al. Remote sensing rapid extraction technology for abandoned mine vegetation coverage via UAV[J]. Science of Soil and Water Conservation,2020,18(2):130−139

[45] REINPRECHT V,KIEFFER D S. Application of UAV photogrammetry and multispectral image analysis for identifying land use and vegetation cover succession in former mining areas[J]. Remote Sensing,2025,17(3):405.

[46] 王国芳,毕如田,张吴平,等. 典型矿区植被覆盖度时空分布特征及影响因素[J]. 生态学报,2020,40(17):6046−6056

WANG Guofang,BI Rutian,ZHANG Wuping,et al. Temporal and spatial distribution characteristics and influencing factors of vegetation coverage in typical mining areas[J]. Acta Ecologica Sinica,2020,40(17):6046−6056

[47] REN He,ZHAO Yanling,XIAO Wu,et al. A review of UAV monitoring in mining areas:Current status and future perspectives[J]. International Journal of Coal Science & Technology,2019,6(3):320−333.

[48] 胡晓,李新举. 基于无人机的高潜水位煤矿区沉陷耕地提取方法比较[J]. 煤炭学报,2019,44(11):3547−3555

HU Xiao,LI Xinju. Comparison the extraction methods of subsided cultivated land in high–groundwater–level coal mines based on unmanned aerial vehicle[J]. Journal of China Coal Society,2019,44(11):3547−3555

[49] 李娜艳. 基于无人机高光谱影像的煤矿区土壤养分预测方法研究[D]. 太谷：山西农业大学，2022.

LI Nayan. Research on prediction method of soil nutrients in coal mine based on UAV hyperspectral image[D]. Taigu：Shanxi Agricultural University，2022.

[50] ZHAO Yanling,LYU Xuejiao,XIAO Wu,et al. Evaluation of the soil profile quality of subsided land in a coal mining area backfilled with river sediment based on monitoring wheat growth biomass with UAV systems[J]. Environmental Monitoring and Assessment,2021,193(9):576.

[51] 吕雪娇. 高潜水位矿区采煤沉陷损毁耕地无人机遥感动态监测研究[D]. 北京：中国矿业大学(北京)，2022.

LYU Xuejiao. Research on UAV remote sensing dynamic monitoring of cultivated damaged by coal mining subsidence in high groundwater table mining area[D]. Beijing：China University of Mining & Technology (Beijing)，2022.

[52] 刘英,范凯旋,裴为豪,等. 基于PLSR和LSSVM模型的土壤水分高光谱反演[J]. 矿业安全与环保,2024,51(5):147−153

LIU Ying,FAN Kaixuan,PEI Weihao,et al. Hyperspectral inversion of soil moisture based on PLSR and LSSVM models[J]. Mining Safety & Environmental Protection,2024,51(5):147−153

[53] 曹国磊. 特厚煤层开采扰动下沉陷区土壤结构空间变异与土壤水运移特征[D]. 徐州：中国矿业大学，2023.

CAO Guolei. Spatial variation of soil structure and soil water transport in subsidence area disturbed by extra–thick coal seam mining[D]. Xuzhou：China University of Mining and Technology，2023.

[54] REN He,XIAO Wu,ZHAO Yanling,et al. Land damage assessment using maize aboveground biomass estimated from unmanned aerial vehicle in high groundwater level regions affected by underground coal mining[J]. Environmental Science and Pollution Research,2020,27(17):21666−21679.

[55] 孙长斌. 无人机热红外遥感技术对矿区煤火探测识别研究[J]. 中国煤炭,2023,49(增刊2):85−94

SUN Changbin. Research on coal fire detection and identification in mining areas based on UAV thermal infrared remote sensing technology[J]. China Coal,2023,49(Sup.2):85−94

[56] 龙林丽,刘英,张旭阳,等. 无人机在矿区表土特征及地质灾害监测中的应用[J]. 煤田地质与勘探,2021,49(6):200−211

LONG Linli,LIU Ying,ZHANG Xuyang,et al. Application of unmanned aerial vehicle in surface soil characterization and geological disaster monitoring in mining areas[J]. Coal Geology & Exploration,2021,49(6):200−211

[57] 陈玮,徐占军,郭琦. 煤炭矿区耕地土壤有机质无人机高光谱遥感估测[J]. 农业工程学报,2022,38(8):98−106

CHEN Wei,XU Zhanjun,GUO Qi. Estimation of soil organic matter by UAV hyperspectral remote sensing in coal mining areas[J]. Transactions of the Chinese Society of Agricultural Engineering,2022,38(8):98−106

[58] REBELO C,NASCIMENTO J. Measurement of soil tillage using UAV high–resolution 3D data[J]. Remote Sensing,2021,13(21):4336.

[59] 张沛沛,刘怡真. 煤炭开采沉陷与积水对土壤特性的影响研究[J]. 矿业安全与环保,2018,45(3):33−36

ZHANG Peipei,LIU Yizhen. Study on the impacts of coal mining subsidence and ponding on the soil characteristics[J]. Mining Safety & Environmental Protection,2018,45(3):33−36

[60] 解北京,李晓旭,张景顺,等. 井工煤矿甲烷排放精准监测与核算[J]. 煤炭科学技术,2024,52(4):119−130

XIE Beijing,LI Xiaoxu,ZHANG Jingshun,et al. Accurate monitoring and accounting of methane emission in underground coal mine[J]. Coal Science and Technology,2024,52(4):119−130

[61] HAN Tianran,XIE Conghui,LIU Yayong,et al. Development of a continuous UAV–mounted air sampler and application to the quantification of CO2 and CH4 emissions from a major coking plant[J]. Atmospheric Measurement Techniques,2024,17(2):677−691.

[62] KRINGS T,GERILOWSKI K,BUCHWITZ M,et al. Quantification of methane emission rates from coal mine ventilation shafts using airborne remote sensing data[J]. Atmospheric Measurement Techniques,2013,6(1):151−166.

[63] ANDERSEN T,ZHAO Zhao,DE VRIES M,et al. Local–to–regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV–based atmospheric measurements[J]. Atmospheric Chemistry and Physics,2023,23(9):5191−5216.

[64] SHI Tianqi,HAN Zeyu,HAN Ge,et al. Retrieving CH4–emission rates from coal mine ventilation shafts using UAV–based AirCore observations and the genetic algorithm–interior point penalty function (GA–IPPF) model[J]. Atmospheric Chemistry and Physics,2022,22(20):13881−13896.

[65] KRAUTWURST S,GERILOWSKI K,BORCHARDT J,et al. Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO2 and Methane (CoMet) campaign[J]. Atmospheric Chemistry and Physics,2021,21(23):17345−17371.

[66] 袁亮,薛生,郑晓亮,等. 煤矿井下空气质量革命技术现状与展望[J]. 工矿自动化,2023,49(6):32−40

YUAN Liang,XUE Sheng,ZHENG Xiaoliang,et al. Current situation and prospects of air quality revolution technology in coal mines[J]. Journal of Mine Automation,2023,49(6):32−40

[67] 崔艳,宋颖霞,李娜. 煤炭开采项目生态及地下水环境影响后评价重点分析[J]. 煤炭工程,2019,51(10):7−10

CUI Yan,SONG Yingxia,LI Na. Key points of environmental impact post–assessment of ecology and underground water for coal mining projects[J]. Coal Engineering,2019,51(10):7−10

[68] 王莹,孙晨晨,张路,等. 无人机探地雷达对水体和空洞的探测应用研究[J]. 煤田地质与勘探,2025,53(5):207−216

WANG Ying,SUN Chenchen,ZHANG Lu,et al. Application of a UAV–borne GPR system in the detection of water bodies and cavities[J]. Coal Geology & Exploration,2025,53(5):207−216

[69] YANG Bin,DU Weibing,ZOU Youfeng,et al. Reconstruction of coal mining subsidence field by fusion of SAR and UAV LiDAR deformation data[J]. Remote Sensing,2024,16(18):3383.

[70] SHAHMORADI J,TALEBI E,ROGHANCHI P,et al. A comprehensive review of applications of drone technology in the mining industry[J]. Drones,2020,4(3):34.

[71] XU Duo,ZHAO Yixin,ZHANG Kangning,et al. Quantifying thermal spatiotemporal signatures and identifying hidden mining–induced fissures with various burial depths via UAV infrared thermometry[J]. Remote Sensing,2025,17(12):1992.

[72] JIAO Yiheng,ZHANG Hebing,LYU Xiaoxuan,et al. Research on collaborative management technology of deep multi–coal seam mining and pre–reclamation in coal–grain composite area[J]. Ecological Indicators,2024,166:112503.

[73] PUNIACH E,GRUSZCZYŃSKI W,ĆWIĄKAŁA P,et al. Application of UAV–based orthomosaics for determination of horizontal displacement caused by underground mining[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2021,174:282−303.

[74] AN Shikai,YUAN Liang,XU Ying,et al. Ground subsidence monitoring in based on UAV–LiDAR technology:A case study of a mine in the Ordos,China[J]. Geomechanics and Geophysics for Geo–Energy and Geo–Resources,2024,10:57.

[75] ĆWIĄKAŁA P,GRUSZCZYŃSKI W,STOCH T,et al. UAV applications for determination of land deformations caused by underground mining[J]. Remote Sensing,2020,12(11):1733.

[76] ZHAO Yixin,SUN Bo,LIU Shimin,et al. Identification of mining induced ground fissures using UAV and infrared thermal imager:Temperature variation and fissure evolution[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2021,180:45−64.

[77] ZHAO Yixin,ZHANG Kangning,LING Chunwei,et al. A novel method combining strata movement and UAV infrared remote sensing technology to evaluate mining ground damage[J]. International Journal of Coal Science & Technology,2024,11(1):83.

[78] TAO Tao,HAN Keming,YAO Xin,et al. Identification of ground fissure development in a semi–desert aeolian sand area induced from coal mining:Utilizing UAV images and deep learning techniques[J]. Remote Sensing,2024,16(6):1046.

[79] 杨坤. 利用无人机摄影测量监测西部煤矿区地表移动与地裂缝[D]. 北京：中国矿业大学(北京)，2022.

YANG Kun. Monitoring ground movement and fissures in western coal mining area by unmanned aerial vehicle photogrammetry[D]. Beijing：China University of Mining & Technology (Beijing)，2022.

[80] ZHANG Yanjun,KONG Jiayuan,LONG Sifang,et al. Study on the ground fissure development law of coal mining based on UAV photogrammetry and the particle flow theory[J]. Frontiers in Environmental Science,2022,10:915645.

[81] WANG Yunjia,TIAN Feng,HUANG Yi,et al. Monitoring coal fires in Datong coalfield using multi–source remote sensing data[J]. Transactions of Nonferrous Metals Society of China,2015,25(10):3421−3428.

[82] 张雷昕,汪云甲,赵峰,等. 基于无人机热红外遥感的新疆宝安煤矿火区探测[J]. 煤炭工程,2021,53(6):162−166

ZHANG Leixin,WANG Yunjia,ZHAO Feng,et al. Detection and analysis of fire area in Xinjiang Baoan Coal Mine based on UAV thermal infrared remote sensing[J]. Coal Engineering,2021,53(6):162−166

[83] ZHAO Chaoying,CHEN Liquan,YIN Yueping,et al. Failure process and three–dimensional motions of mining–induced Jianshanying landslide in China observed by optical,LiDAR and SAR datasets[J]. GIScience & Remote Sensing,2023,60(1):2268367.

[84] LIAN Xugang,LI Yu,WANG Xiaobing,et al. Research on identification and location of mining landslide in mining area based on improved YOLO algorithm[J]. Drones,2024,8(4):150.

[85] 李梅,毛善君,赵明军. 煤矿智能地质保障系统研究进展与展望[J]. 煤炭科学技术,2023,51(2):334−348

LI Mei,MAO Shanjun,ZHAO Mingjun. Research progress and prospects of coal mine intelligent geological guarantee systems[J]. Coal Science and Technology,2023,51(2):334−348

[86] 廉旭刚,韩雨,刘晓宇,等. 无人机低空遥感矿山地质灾害监测研究进展及发展趋势[J]. 金属矿山,2023(1):17−29

LIAN Xugang,HAN Yu,LIU Xiaoyu,et al. Study progress and development trend of mine geological disaster monitoring by UAV low–altitude remote sensing[J]. Metal Mine,2023(1):17−29

[87] 汤伏全,杨倩. 西部黄土高原矿区采煤沉陷多源遥感监测技术进展与展望[J]. 煤炭科学技术,2023,51(12):9−26

TANG Fuquan,YANG Qian. Progress and prospects of multi–source remote sensing monitoring technology for coal mining subsidence in mining areas of the western Loess Plateau[J]. Coal Science and Technology,2023,51(12):9−26

[88] 高冠杰,侯恩科,谢晓深,等. 基于四旋翼无人机的宁夏羊场湾煤矿采煤沉陷量监测[J]. 地质通报,2018,37(12):2264−2269

GAO Guanjie,HOU Enke,XIE Xiaoshen,et al. The monitoring of ground surface subsidence related to coal seams mining in Yangchangwan coal mine by means of unmanned aerial vehicle with quad–rotors[J]. Geological Bulletin of China,2018,37(12):2264−2269

[89] 侯恩科,首召贵,徐友宁,等. 无人机遥感技术在采煤地面塌陷监测中的应用[J]. 煤田地质与勘探,2017,45(6):102−110

HOU Enke,SHOU Zhaogui,XU Youning,et al. Application of UAV remote sensing technology in monitoring of coal mining–induced subsidence[J]. Coal Geology & Exploration,2017,45(6):102−110

[90] 张俊阳,王昆,赵同彬,等. 矿区地表沉陷与裂缝无人机遥感观测研究现状及发展[J]. 煤炭科学技术,2024,52(增刊2):435−444

ZHANG Junyang,WANG Kun,ZHAO Tongbin,et al. Status and development of UAV remote sensing technology in mining surface subsidence and fracture measuring[J]. Coal Science and Technology,2024,52(Sup.2):435−444

[91] 郑俊良,姚顽强,蔺小虎,等. 无人机LiDAR在采空区沉陷监测中的应用[J]. 西安科技大学学报,2023,43(4):825−835

ZHENG Junliang,YAO Wanqiang,LIN Xiaohu,et al. Application of UAV LiDAR in monitoring subsidence of goaf[J]. Journal of Xi’an University of Science and Technology,2023,43(4):825−835

[92] 陈永春,吴海涛,申礼鹏,等. 采煤沉陷水域水体富营养化指标遥感监测研究进展[J]. 矿业安全与环保,2025,52(2):153−163

CHEN Yongchun,WU Haitao,SHEN Lipeng,et al. Research progress on remote sensing monitoring of water eutrophication indicators in coal mining subsidence water area[J]. Mining Safety & Environmental Protection,2025,52(2):153−163

[93] 侯恩科,张杰,谢晓深,等. 无人机遥感与卫星遥感在采煤地表裂缝识别中的对比[J]. 地质通报,2019,38(2/3):443−448

HOU Enke,ZHANG Jie,XIE Xiaoshen,et al. Contrast application of unmanned aerial vehicle remote sensing and satellite remote sensing technology relating to ground surface cracks recognition in coal mining area[J]. Geological Bulletin of China,2019,38(2/3):443−448

[94] 邓军,王津睿,任帅京,等. 采空区煤自燃高温点识别与探测技术研究与展望[J]. 煤炭学报,2024,49(2):885−901

DENG Jun,WANG Jinrui,REN Shuaijing,et al. Identification and detection technology for high–temperature spontaneous combustion points in goaf areas[J]. Journal of China Coal Society,2024,49(2):885−901

[95] 肖武,任河,赵艳玲,等. 无人机遥感支持下的煤矸石山自燃监测与预警[J]. 煤炭科学技术,2023,51(2):412−421

XIAO Wu,REN He,ZHAO Yanling,et al. Monitoring and early warning the spontaneous combustion of coal waste dumps supported by unmanned aerial vehicle remote sensing[J]. Coal Science and Technology,2023,51(2):412−421

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