Research on Mine Ecological Environment Monitoring Technology Based on Multi-source Remote Sensing Data: A Case Study in Northern Shaanxi Coal Base

MA Lu; CHEN Ying; LIN Nan

doi:10.12401/j.nwg.2024110

Northwestern Geology > 2025 > 58(2): 91-101. > DOI: 10.12401/j.nwg.2024110

MA Lu，CHEN Ying，LIN Nan. Research on Mine Ecological Environment Monitoring Technology Based on Multi-source Remote Sensing Data: A Case Study in Northern Shaanxi Coal Base[J]. Northwestern Geology，2025，58（2）：91−101. doi: 10.12401/j.nwg.2024110

Citation:

PDF (11301 KB)

Research on Mine Ecological Environment Monitoring Technology Based on Multi-source Remote Sensing Data: A Case Study in Northern Shaanxi Coal Base

Xi’an Meihang Remote Sensing Information Co., Ltd., Xi’an 710199, Shaanxi, China

More Information

Received Date: September 07, 2023
Revised Date: July 24, 2024
Accepted Date: November 24, 2024

Graphical Abstract

Abstract

Abstract

The exploitation of mineral resources can have negative effects on the local ecological environment and the livelihoods of nearby residents. Remote sensing technology provides a more cost-effective and comprehensive approach to monitoring mine ecology compared to traditional ground-based methods. Its high spectral, spatial, and temporal resolution enables a comprehensive and dynamic reflection of the status and development trends of ecological issues in mines. The northern Shaanxi coal base is a significant coal energy base in China. This paper focused on a production mine, comprehensively utilized Optical Remote Sensing and Radar Remote Sensing technologies, we can accurately capture the characteristics of regional elements such as ground subsidence, land damage, as well as surface water and vegetation conditions induced by coal mining activities. For key monitoring areas, the Unmanned Aerial Vehicle (UAV) remote sensing technology further enables refined monitoring and identification of local elements such as ground fissures and unstable slopes. This has systematically established a comprehensive remote sensing monitoring technology system for mine ecological environment, encompassing data acquisition, data processing, remote sensing interpretation, and data analysis. Research results indicate that multi-source remote sensing technology, with its outstanding global perspective, macro-analysis capabilities, and robust data traceability, has demonstrated an irreplaceable advantage in the field of mine ecological environment monitoring, achieving remarkable application effects. According to the proposal, the future intelligent mine environmental monitoring and early warning system should be developed with a focus on “multi-network integration + real-time monitoring + intelligent operation + task collaboration + comprehensive perception + autonomous decision-making”.

FullText(HTML)

References (24)

References

陈国良, 时洪涛, 汪云甲, 等. 矿山地质环境“天—空—地—人”协同监测与多要素智能感知[J]. 金属矿山, 2023（1）: 9−16.

CHEN Guoliang, SHI Hongtao, WANG Yunjia, et al. Integrated Space-Air-Ground-Human Monitoring and Multiple Parameters Intelligence Sensing of Mine Geological Environment[J]. Metal Mine,2023(1):9−16.

范立民. 论矿山地质环境监测体系[J]. 陕西地质, 2017, 35（1）: 61−64. doi: 10.3969/j.issn.1001-6996.2017.01.012

FAN Limin. Monitoring System of Mining Geo-Environment[J]. Geology of Shaanxi,2017,35(1):61−64. doi: 10.3969/j.issn.1001-6996.2017.01.012

高俊华, 邹联学, 龙欢, 等. 基于遥感动态监测的吉林省矿山地质环境及生态修复变化特征分析[J]. 自然资源遥感, 2022, 34（3）: 240−248.

GAO Junhua, ZOU Lianxue, LONG Huan, et al. Analysis on characteristics of mine geological environment and ecological restoration changes in Jilin Province based on dynamic remote sensing monitoring[J]. Remote Sensing for Natural Resources,2022,34(3):240−248.

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.

韩海辉, 王艺霖, 任广利, 等. 几种高光谱分析法在蚀变矿物信息提取中的对比分析——以北山老金厂为例[J]. 西北地质, 2020, 53（4）: 223−234.

HAN Haihui, WANG Yilin, REN Guangli, et al. A Comparative Analysis of Several Hyperspectral Methods in the Extraction of Altered Minerals: A Case Study of Laojinchang in Beishan Area[J]. Northwestern Geology,2020,53(4):223−234.

韩海辉, 李健强, 易欢, 等. 遥感技术在西北地质调查中的应用及展望[J]. 西北地质, 2022a, 55（3）: 155−169.

HAN Haihui, LI Jianqiang, YI Huan, et al. Application and Prospect of Remote Sensing Technology in Geological Survey of Northwest China[J]. Northwestern Geology,2022a,55(3):155−169.

韩海辉, 张转, 任广利, 等. 一种快速识别基性—超基性岩的新方法——基性度遥感指数法[J]. 西北地质, 2022b, 55（2）: 71−81.

HAN Haihui, ZHANG Zhuan, REN Guangli, et al. A New Method for Fast Identification of Basic—ultrabasic Rocks—Basic Degree Index from Remote Sensing Image[J]. Northwestern Geology,2022b,55(2):71−81.

韩亚超, 高子弘, 杨达昌, 等. 我国城市水体数量与质量遥感调查应用现状与建议[J]. 城市地质, 2022, 17（4）: 485−492. doi: 10.3969/j.issn.1007-1903.2022.04.013

HAN Yachao, GAO Zihong, YANG Dachang, et al. Review and suggestions of remote sensing survey of urban water bodies quantity and quality in our country[J]. Urban Geology,2022,17(4):485−492. doi: 10.3969/j.issn.1007-1903.2022.04.013

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.

蔺楠, 陈莹, 马露, 等. 陕北煤炭基地矿山生态修复成效评估体系构建与实现[J]. 西北地质, 2023, 56（3）: 89−97. doi: 10.12401/j.nwg.2023085

LIN Nan, CHEN Ying, MA Lu, et al. Construction and Implementation of Evaluation System for Ecological Restoration Effectiveness of Mines in Northern Shaanxi Coal Base[J]. Northwestern Geology,2023,56(3):89−97. doi: 10.12401/j.nwg.2023085

李诗雨. 基于长时序InSAR的金属矿山地表形变监测技术研究[D]. 重庆: 重庆大学, 2022.

LI Shiyu. Research on Surface Deformation Monitoring Technology of Metal Mines based on Long-Time-Series InSAR[D]. Chongqing:Chongqing University, 2022.

苗旭, 李九一, 宋小燕等. 2000-2020年鄂尔多斯市植被NDVI变化格局及归因分析[J]. 水土保持研究, 2022, 29（3）: 300−305. doi: 10.3969/j.issn.1005-3409.2022.3.stbcyj202203040

MIAO Xu, LI Jiuyi, SONG Xiaoyan, et al. Analysi on Change Pattern and Attribution of Vegetation NDVI in Ordos City from 2000 to 2020[J]. Research of Soil and Water Conservation,2022,29(3):300−305. doi: 10.3969/j.issn.1005-3409.2022.3.stbcyj202203040

王凤娟. 论遥感影像在矿山地质环境监测治理方面的应用[J]. 世界有色金属, 2020（12）: 264−265. doi: 10.3969/j.issn.1002-5065.2020.12.121

WANG Fengjuan. Discussion on the application of remote sensing image in mine geological environment monitoring and treatment[J]. World Nonferrous Metals,2020(12):264−265. doi: 10.3969/j.issn.1002-5065.2020.12.121

吴松. 无人机航空摄影测量在矿山动态监测中的应用[J]. 能源与节能, 2023（2）: 173−176. doi: 10.3969/j.issn.2095-0802.2023.02.047

WU Song. Application of UAV Aerial Photogrammetry in Mine Dynamic Monitoring[J]. Energy and Energy Conservation,2023(2):173−176. doi: 10.3969/j.issn.2095-0802.2023.02.047

徐友宁, 武征, 赵子长. 西北地区矿产资源开发的环境地质问题及其类型[J]. 西北地质, 2001, 34（2）: 28−33. doi: 10.3969/j.issn.1009-6248.2001.02.005

XU Youning, WU Zheng, ZHAO Zichang. The Problems of Environmental Geology and Database for Mining in Northwestern China[J]. Northwestern Geology,2001,34(2):28−33. doi: 10.3969/j.issn.1009-6248.2001.02.005

徐友宁. 矿山环境地质与地质环境[J]. 西北地质, 2005, 38（4）: 108−112. doi: 10.3969/j.issn.1009-6248.2005.04.016

XU Youning. Mine Environmental geology and geological environment[J]. Northwestern Geology,2005,38(4):108−112. doi: 10.3969/j.issn.1009-6248.2005.04.016

徐友宁, 李玉武, 张江华, 等. 宁夏石嘴山采煤塌陷区地质环境治理模式研究[J]. 西北地质, 2015, 48（4）: 183−189. doi: 10.3969/j.issn.1009-6248.2015.04.018

XU Youning, LI Yuwu, ZHANG Jianghua, et al. Treatment Model on Geo-Environment in the Coal Mine Collapse Area of Shizuishan City, Ningxia[J]. Northwestern Geology,2015,48(4):183−189. doi: 10.3969/j.issn.1009-6248.2015.04.018

徐友宁, 张江华, 何芳, 等. 西北地区矿山地质环境调查与防治研究[J]. 西北地质, 2022, 55（3）: 129−139.

XU Youning, ZHANG Jianghua, HE Fang, et al. Investigation and Preventive Research of Mine Geological Environment in Northwest China[J]. Northwestern Geology,2022,55(3):129−139.

杨金中, 聂洪峰, 荆青青. 初论全国矿山地质环境现状与存在问题[J]. 国土资源遥感, 2017, 29（2）: 1−7.

YANG Jinzhong, NIE Hongfeng, JING Qingqing. Preliminary analysis of mine geo-environment status and existing problems in China[J]. Remote Sensing for Land and Resources,2017,29(2):1−7.

郑志琴. 基于D-InSAR技术的矿区地表沉陷监测及其数据处理研究[D]. 西安: 西安科技大学, 2015.

ZHENG Zhiqin. Surface Subsidence Monitoring and Data Processing Research of Mining Area Based on D-InSAR Technology[D]. Xi’an: Xi’an University of Science and Technology, 2015.

Chen W, Li X, He H. A review of fine-scale land use and land cover classification in open-pit mining areas by re-mote sensing techniques[J]. Remote Sensing,2017,10(2):10010015−10010033.

Gallwey J, Robiati C, Coggan J, et al. A Sentinel-2 based multispectral convolutional neural network for detecting arti-sanal small-scale mining in Ghana: Applying deep learning toshallow mining[J]. Remote Sensing of Environment,2020,248:111970−111984. doi: 10.1016/j.rse.2020.111970

Johansen K, Erskine P, Mccabe M. Using unmanned aerial vehicles to assess the rehabilitation performance of open cut coal mines[J]. Journal of Cleaner Production,2019,209:819−833. doi: 10.1016/j.jclepro.2018.10.287

Li L, Zhang R, Sun J, et al. Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm[J]. Journal of Environmental Health Science and Engineering,2021,19(1):401−414. doi: 10.1007/s40201-021-00613-0

Cited By

Cited by

Periodical cited type(5)

1.	赵志远，葛超英，徐雯佳. 时序InSAR技术对淮扬区域地面沉降监测. 四川地质学报. 2025(01): 162-169 .
2.	张忠辉，杜钊锋，薛贵东，孙祺，李少峰. 基于多源监测数据的大雁塔近40年变形特征分析. 测绘科学. 2024(06): 29-37 .
3.	褚洪义，杨博，魏东琦，李汶洪，黄兆欢，张茗爽，乔冈. 多年冻土InSAR地表变形监测与土壤水热过程研究. 西北地质. 2024(06): 244-254 . 本站查看
4.	史元博，朱兴国，卢全中，杨利荣，刘聪，龚方圆，岳乐平. 西安凹陷f12地裂缝发育区第四系及裂缝沉降特征. 西北地质. 2023(05): 185-196 . 本站查看
5.	程霞，王辉，王国瑞，杜灵通，魏采用，周峰. 基于DinSAR技术的宁东煤炭基地区域性地表沉降监测. 西北地质. 2023(06): 369-375 . 本站查看

Other cited types(0)

Get Citation

PDF

XML

Article views PDF downloads Cited by(5)

Turn off MathJax

Article Contents

Abstract

References

	HU Xiangxiang, SHI Yaya, HU Liangbai, WU Tao, PANG Dongdong, LIU Shuailing, SONG Bao. 2025: Evaluation of Loess Landslide Susceptibility by Combining InSAR and Information-Machine Learning Coupling Model. Northwestern Geology, 58(2): 159-171. DOI: 10.12401/j.nwg.2024112
	LIN Mingming, ZHAO Yong, WANG Kun, ZHANG Fan, LIU Xiaolei, LI Jinxin. 2024: Early Identification of Potential Dangers of Loess Landslide Based on Multi-Source and Time Series InSAR. Northwestern Geology, 57(6): 268-277. DOI: 10.12401/j.nwg.2024083
	CHU Hongyi, YANG Bo, WEI Dongqi, LI Wenhong, HUANG Zhaohuan, ZHANG Mingshuang, QIAO Gang. 2024: Research on InSAR Surface Deformation and Soil Hydrothermal Process in Permafrost. Northwestern Geology, 57(6): 244-254. DOI: 10.12401/j.nwg.2024001
	CHENG Xia, WANG Hui, WANG Guorui, DU Lingtong, WEI Caiyong, ZHOU Feng. 2023: Monitoring Regional Surface Subsidence of Ningdong Coal Base by DinSAR. Northwestern Geology, 56(6): 369-375. DOI: 10.12401/j.nwg.2023056
	JIA Jun, LI Zhizhong, GUO Xiaopeng, WU Wenying. 2023: Application of Multi–source Remote Sensing Technology on Investigation of Geological Disasters Induced by Rainfall in Mian County. Northwestern Geology, 56(3): 268-280. DOI: 10.12401/j.nwg.2023069
	ZHANG Linfan. 2023: Early Identification of Hidden Dangers of Loess Landslide Based on Time Series InSAR: A Case Study of Southwest Bailuyuan. Northwestern Geology, 56(3): 250-257. DOI: 10.12401/j.nwg.2023086
	DONG Ying, ZHANG Maosheng, LIU Jie, ZHANG Xinshe, FENG Li. 2019: Coupling Relationship between Groundwater and Ground Fissures of Land Subsidence in Xi'an City and Risk Prevention and Control Technology. Northwestern Geology, 52(2): 95-102. DOI: 10.19751/j.cnki.61-1149/p.2019.02.010
	DONG Ying, ZHANG Maosheng, LIU Jie, ZHANG Xinshe, FENG Li. 2019: Water Release Compaction Effect and Microstructure Change of Aquifer System in Xi'an. Northwestern Geology, 52(2): 63-71. DOI: 10.19751/j.cnki.61-1149/p.2019.02.007
	ZHAO Juan, XU Guang, YANG Baorong, GUO Haiming, LI Debiao, MA Zhengting, WEI Liqiong, XIONG Shengyun. 2018: Technique and Application Result of 1:25 000 Geochemical Survey in EastKunlun, Qinghai Province. Northwestern Geology, 51(1): 209-217.
	ZHU Li-feng, LI Yi-zhao, LIU Fang, ZHU Hua. 2005: Features on ground fractures and exploration train of thought in Xi’an. Northwestern Geology, 38(4): 102-107.

Research on Mine Ecological Environment Monitoring Technology Based on Multi-source Remote Sensing Data: A Case Study in Northern Shaanxi Coal Base