Jun Li

go back

Jun Li


PhD, Professor, PhD supervisor,Vice Dean of College of Geoscience and Surveying Engineering


Affiliation: China University of Mining & Technology, Beijing, 100083, China




Contact:junli@cumtb.edu.cn / junli_geo@126.com







Research Interests

remote sensing of ecology and environment; geospatial analysis; ecology and environment in mining areas; machine learning; spatiotemporal data mining.


Academic Background

2009-2014,PhD, Peking University.

2012-2013, Joint PhD, University of Illinois at Urbana-Champaign, USA.

2005-2009, Bachelor, Wuhan University.

Papers

Jun Li, Jianghe Xing, Shouhang Du, Shihong Du, Chengye Zhang, Wei Li. Change Detection of Open-Pit Mine Based on Siamese Multiscale Network. IEEE Geoscience and Remote Sensing Letters,2023.,20:5.

Jun Li, Yaling Xu, Chengye Zhang*, Junting Guo, Xingjuan Wang, Yicong Zhang. Unmixing the coupling influence from driving factors on vegetation changes considering spatio-temporal heterogeneity in mining areas: a case study in Xilinhot, Inner Mongolia, China. Environment Monitoring and Assessment, 2023, 195: 224.

Jun Li, Tianyu Guo, Chengye Zhang, Fei Yang*. Establishment and evaluation of the fractional vegetation cover (FVC) model in mining area based on multi driving factors. Photogrammetric Engineering & Remote Sensing, 2022, 88(10): 665-671.

Jun Li, Juqing Liu*, Linwei Qiao, Yaoyuan Zhang, Wenle Lu, Chengye Zhang, Qian Huang, Hao Wang. gsstSIM: A high-performance and synchronized similarity analysis method of spatiotemporal trajectory based on grid model representation. Transactions in GIS, 2022, 26(5): 2206-2224.

Jun Li, Tingting Qin, Chengye Zhang*, Huiyu Zheng, Junting Guo, Huizhen Xie, Caiyue Zhang, Yicong Zhang. A New Method for Quantitative Analysis of Driving Factors for Vegetation Coverage Change in Mining Areas: GWDF-ANN. Remote Sensing, 2022, 14(7), 1579.

Jun Li, Suping Peng*, Chengye Zhang, Fei Yang, Xiao Sang. Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application[J]. Journal of Mining Science and Technology, 2022, 7(1): 9-25+88.

Jun Li, Yan Zhu, Juqing Liu, Chengye Zhang*, Xiao Sang, Qianqian Zhong. Parcel-level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China. Transactions in GIS, 2021, 25(6): 2766-2790.

Jun Li, Yanqiu Pei, Shaohua Zhao*, Rulin Xiao, Xiao Sang, Chengye Zhang. A review of remote sensing for environmental monitoring in China. Remote Sensing, 2020, 12(7), 1130.

Jun Li, Juqing Liu*, Xiaolong Mei, Wentong Sun, Qian Huang, Yaoyuan Zhang, LinweiQiao, Chengye Zhang. Design and Implementation of Trajectory Data Management and Analysis Technology Framework Based on Spatiotemporal Grid Model. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 43: 471-476.

Chengye Zhang, Feiyue Li, Jun Li*, Kai Zhang, Wenyan Ran, Menghao Du, Junting Guo, Gefei Hou. Assessing the effect, attribution, and potential of vegetation restoration in open-pit coal mines’ dumping sites during 2003-2020 utilizing remote sensing. Ecological Indicators, 2023, 155.

Wei Li, Jun Li*, Shouhang Du, et al. Multi-Level Difference Network for Change Detection from Very High-Resolution Remote Sensing Images: A Case Study in Open-Pit Mines, Remote Sensing, 2023, 15(14): 3482.

Chengye Zhang, Jianghe Xing, Jun Li*, et al. A new method for the extraction of tailing ponds from very high-resolution remotely sensed images: PSVED, International Journal of Digital Earth, 2023,16(1): 2681-2703, DOI: 10.1080/17538947.2023.2234338

Yuanheng Sun, Jun Li*, Chengye Zhang, Feiyue Li, Wei Chen, Ying Li. Environment monitoring of mining area with comprehensive mining ecological index (CMEI): a case study in Xilinhot of Inner Mongolia, China. International Journal of Sustainable Development & World Ecology, 2023 (在线发表). DOI: 10.1080/13504509.2023.2205835

Yaling Xu, Li Guo, Jun Li*, Chengye Zhang, Wenyan Ran, Jingyu Hu, Haitao Mao. Automatically identifying the vegetation destruction and restoration of various open-pit mines utilizing remotely sensed images: Auto-VDR. Journal of Cleaner Production, 2023, 137490.

Shouhang Du, Jianghe Xing, Jun Li*, Shihong Du, Chengye Zhang, Yaqin Sun. Open-pit mine extraction from very high resolution remote sensing images using OM-DeepLab. Natural Resources Research, 2022, 31(6): 3173-3194.

Junting Guo, Quansheng Li, Huizhen Xie, Jun Li*, Linwei Qiao, Chengye Zhang, Guozhu Yang, Fei Wang. Monitoring of Vegetation Disturbance and Restoration at the Dumping Sites of the Baorixile Open-Pit Mine Based on the LandTrendr Algorithm. International Journal of Environmental Research and Public Health, 2022, 19(15), 9066.

Xiao Sang, Jun Li*, Chengye Zhang, Jianghe Xing, Xinhua Liu, Hongpeng Wang, Caiyue Zhang. Downscaling Microwave Soil Moisture Products with SM-RDNet for Semiarid Mining Areas. Water, 2022, 14(11), 1792.

Hongru Bi, Wei Chen, Jun Li*, Junting Guo, Changchao She. Modeling impacts of mining activity-induced landscape change on local climate. Environmental Science and Pollution Research, 2022, 00: 1-14.

Fei Yang, Jinyang Wang , Chengye Zhang , Jun Li*, Huizhen Xie, Zeren Zhuoge. The Impact of Human Activities on Net Primary Productivity in a Grassland Open-Pit Mine: The Case Study of the Shengli Mining Area in Inner Mongolia, China. Land, 2022, 11(5), 743.

Shouhang Du, Wei Li, Jun Li*, Shihong Du, Chengye Zhang, Yaqin Sun. Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach. International Journal of Mining, Reclamation and Environment, 2022: 1-24.

Chengye Zhang, Huiyu Zheng, Jun Li*, Tingting Qin, Junting Guo, Menghao Du. A Method for Identifying the Spatial Range of Mining Disturbance Based on Contribution Quantification and Significance Test. International Journal of Environmental Research and Public Health, 2022, 19(9): 5176.

Chengye Zhang, Jun Li*, Lei Shaogang, Yang Jinzhong, Yang Nan. Progress and Prospect of the Quantitative Remote Sensing for Monitoring the Eco-environment in Mining Area[J]. Metal Mine, 2022, 51(03): 1-27.

Jun Li*, Yan Zhu, Zhenwei Li, Wenle Lu, Yang Ji, Xiao Sang. Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data. Journal of Advanced Transportation, 2021, 1-18.

Zihao Wang, Jun Li*, Yan Zhu, Zhenwei Li, Wenle Lu. Analyzing Spatiotemporal Characteristics of Taxi Drivers' Cognition to Passenger Source Based on Trajectory Data. International Symposium on Web and Wireless Geographical Information Systems. Springer, 2020: 90-94.

Chengye Zhang, Yanqiu Pei, Jun Li*, Qiming Qin, Jun Yue. Application of Luojia 1-01 Nighttime Images for Detecting the Light Changes for the 2019 Spring Festival in Western Cities, China. Remote Sensing, 2020, 12(9), 1416.

Jun Li*, Qingqi Li, Yan Zhu, Yan Ma, Yubin Xu, Chao Xie. An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data. Journal of Advanced Transportation, 2019: 1-15.

Yinger Zheng, Juqing Liu, Jun Li*, Yubin Xu, Qian Huang, Yan Zhu, Yanqiu Pei. Design of fine management system for civil aviation airspace resources based on spatiotemporal grid model. Proceedings of 2019 IEEE 1st International Conference on Civil Aviation Safety and information Technology, 2019: 547-551.

Ziheng Song, Junting Guo*, Jun Li, Chengye Zhang, Fei Wang, Liping Sun. Spatio-temporal Characteristics of Vegetation Coverage in the Open-pit Mine Waste Dump of Baorixile Based on Landsat Images. 2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS), 2022: 308-312.

Fei Wang, Junting Guo*, Shouhang Du, Jun Li, Ziheng Song, Chengye Zhang, Zhenwei Li. Object-based image analysis combined with improved DenseNet for land use classification in mining areas. The International Association of Chinese Professionals in Geographic Information Sciences, 2022.(accepted)

Chengye Zhang*, Huazhong Ren, Xiujuan Dai, Qiming Qin, Jun Li, Tianyuan Zhang, Yuanheng Sun. Spectral characteristics of copper-stressed vegetation leaves and further understanding of the copper stress vegetation index. International Journal of Remote Sensing, 2019, 40(12): 4473-4488.

Chengye Zhang*, Huazhong Ren, Ziyi Huang, Jun Li, Qiming Qin, Tianyuan Zhang,Yuanheng Sun. Assessment of the application of copper stress vegetation index on Hyperion image in Dexing Copper Mine, China. Journal of Applied Remote Sensing, 2019, 13(1): 014511.

Jun Li, Qingqi Li, Yan Zhu, Yan Ma, Yanan Zhou. Extracting Coach Schedule Information from Massive Trajectory Data, 26th International Conference on Geoinformatics, 2018: 1-5.

Jun Li,Yuan Zhang,Qiming Qin,Yueguan Yan, Investigating the Impact of Human Activity on Land Use/Cover Change in China’s Lijiang River Basin from the Perspective of Flow and Type of Population,Sustainability, 2017, 9(3): 383.

Ya’nan Zhou, Jun Li, Li Feng, Xin Zhang, Xiaodong Hu, Adaptive scale selection for multiscale segmentation of satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3641-3651.

Jun Li, Xiang Wang, Yubin Xu, Qingqi Li, Yunpeng Li. Analyzing impact factors of airport taxiing delay based on ads-b data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, 42(2/W7).

Jian Liu, Qiming Qin, Jun Li*, Yunpeng Li. Rural road extraction from high-resolution remote sensing images based on geometric feature inference. ISPRS International Journal of Geo-Information, 2017, 6(10): 314.

Heng Dong, Jun Li*, Yanbin Yuan, Lin You, Chao Chen. A component-based system for agricultural drought monitoring by remote sensing[J]. Plos one, 2017, 12(12): e0188687.

Yanan Zhou, Li Feng, Yuehong Chen, Jun Li, Object-based land cover mapping using adaptive scale segmentation from ZY-3 satellite images, IGARSS, 2017: 63-66。

Yuan Zhang, Jun Li, Qiming Qin,Identification of Factors Influencing Locations of Tree Cover Loss and Gain and Their Spatio-Temporally-Variant Importance in the Li River Basin, China. Remote Sens. 2016, 8(3), 201.

Yuan Zhang,Jun Li,Qiming Qin,Ruofeng Xu,Cong Lin, Spatially variant lagged responses of forest extent and landscape patterns to socioeconomic drivers in the Li River Basin, China[J]. Journal of Applied Remote Sensing, 2016, 10(1): 016020.

Jun Li, Jingjing Wang, Junfei Zhang, Qiming Qin, Tanvi Jindal, Jiawei Han, A probabilistic approach to detect mixed periodic patterns from moving object data, Geoinformatica, 2016, 20(4): 715-739.

Jun Li,Yuan Zhang,Xiang Wang,Qiming Qin,Zhuangzhuang Wei,Jingze Li, Application of GPS trajectory data for investigating the interaction between human activity and landscape pattern: a case study of the Lijiang River Basin, China[J]. ISPRS International Journal of Geo-Information, 2016, 5(7): 104.

Yunhao Chen, Hao Sun & Jun Li ,Estimating daily maximum air temperature with MODIS data and a daytime temperature variation model in Beijing urban area, Remote Sensing Letters, 2016,7:9, 865-874.

Jun Li, Huayang Dai, Yuan Zhang, Xiang Wang, Qiming Qin, Hongbo Jiang, Extracting Map Information from Trajectory and Social Media Data, Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2015: 18-21.

Chao Chen, Qiming Qin, Ning Zhang, Jun Li, Li Chen, Jun Wang, Xuebin Qin, Xiucheng Yang, Extraction of bridges over water from high-resolution optical remote sensing images based on mathematical morphology. International Journal of Remote Sensing, 2014,35(10): 3664-3682.

Cong Lin, Qiming Qin, Ruofeng Xu, Yuan Zhang, Jun Li, 2014. Spatiotemporal analysis of ecological capacity of Li River Basin, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014: 1445-1448 .

Ruofeng Xu, Qiming Qin, Cong Lin, Yuan Zhang, Jun Li, . Investigating the impact of road network development on land cover change in Lijiang River Basin. 2014 IEEE Geoscience and Remote Sensing Symposium,2014: 4243-4246.

Yanan Zhou, Xiaodong Hu, Jun Li. Real-time Dynamic Visualization Techniques for Massive Geospatial Data. ICDM Workshops ,2014: 1143-1149.

Jun Li,Qiming Qin,Jiawei Han,Lu-An Tang,Kin Hou Lei,Mining Trajectory Data and Geotagged Data in Social Media for Road Map Inference,Transactions in GIS,2014,19(1):1-18. SSCI

Tanvi Jindal, Prasanna Giridhar, Lu-An Tang, Jun Li, Jiawei Han, Spatiotemporal Periodical Pattern Mining in Traffic Data, 2013: 1-8.

Xie Chao, Qin Qiming, Li Jun, Zhao Jianghua. Vehicle Acceleration Noise: A Solution for Real-time Highway Traffic Estimation Based on Low-speed Floating Vehicles, IEEE International Geoscience and Remote Sensing Symposium, 2013: 3658-3661.

Yue Zhao, Qiming Qin, Jun Li, Chao Xie, Runqiang Chen. Highway map matching algorithm based on floating car data, 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012:5982-5985.

Jun Li, Qiming Qin, Chao Xie, Yue Zhao. Integrated use of spatial and semantic relationships for extracting road networks from floating car data. International Journal of Applied Earth Observation and Geoinformation, 2012, 19: 238-247.

Jun Li, Qiming Qin, Chao Xie, Yue Zhao, Jinliang Wang, Using Floating Car Data to Automatically Generate Digital Road Maps. Proceedings for ISPRS workshop on Dynamic and Multi-dimensional GIS, 2011:160-164.

Yue Zhao, Jian Liu , Runqiang Chen , Jun Li , Chao Xie , Wenjiang Niu , Danyang Geng , Qiming Qin, A new method of road network updating based on floating car data, 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011:1878-1881.

Jun Li, Yue Zhao, Chao Xie, et. al. Equational buffer and its potential application, 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011:2992-2995.

Yue Zhao, Jian Liu, Runqiang Chen, Jun Li, et. al. A new method of road network updating based on floating car data, 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011:1878-1881.

Qiming Qin, Haijian Ma and Jun Li, Damage Detection and Assessment System of Roads for Decision Support for Disaster, Key Engineering Materials, 2011, 467: 1144-1149.

Jun Li, Qiming Qin, Haijian Ma and Weilin Yuan, Study on Road Damage Assessment Based on RS and GIS,2010 IEEE International Geoscience and Remote Sensing Symposium, 2010:4534-4537.

Hongbo Jiang, Qiming Qin, Jun Li, Shaohua Zhao, Heng Dong, Weilin Yuan and Rongbo Cui, Validation for the Absolute Radiometric Calibration of the HJ-1B CCD Sensors of China, 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010:2876-2879.

Lin You, Qiming Qin, Heng Dong, Jun Li, Jinliang Wang and Xuebin Yang, The Component-based Design and Development of Remote Sensing System for Drought Monitoring, 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010:3849-3852.

Heng Dong, Qiming Qin, Lin You, Xinxin Sui, Jun Li, Hongbo Jiang, Jinliang Wang, Haixia Feng, Hongmei Sun, Models for Estimating Leaf Area Index of Different Crops Using Hyperspectral Data, 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010:3283-3286.