Jun Li

Personal Information

Jun Li

Professor,

Email: junli@cumtb.edu.cn & junli_geo@126.com


Research Interests

1Remote sensing monitoring of ecological environment

2Digital ecological governance

3Remote sensing monitoring of natural resources

4Remote sensing big data analysis

5Geographical artificial intelligence and industry application

Academic Background

2005-2009, Bachelor in Geomatics, Wuhan University.

2009-2014, Ph.D. in Cartography and GIS, Peking University.

2012-2013, Joint Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA.

Teaching Courses

Geographic Information Analysis and Modeling

Spatial Data Analysis

Key Research Funding

[1]. 2023.9-2024.4, Hequ Open-pit Coal Industry of Shanxi Coking Coal Group, Research on Ecological Health Intelligent Assessment and Early Warning and high-quality Collaborative Development of open-pit Coal Mines in the Yellow River Basin

[2]. 2023.5.22-2025.5.22, "Chunhui Program" cooperative scientific research project of the Ministry of Education, Research on Soil Water Content retrieval in mining area by integrating Remote sensing and hydrological model (202201628),

[3]. 2022.9-2026.8, National Key Research and Development Plan Project, Monitoring Technology of Ecosystem degradation of Coal Energy Base in Western Arid Region (2022YFF1303301)

[4]. 2023.1-2026.12, National Natural Science Foundation of China Project, Research on Spatio-temporal processes and driving mechanisms of vegetation evolution in typical mining areas in Northern China supported by multi-source Data (42271480)

[5]. 2021.9-2021.12 Shenhua Nortel Shengli Energy Company, big data analysis of environmental impact of coal open-pit mining in Shengli Mining Area of Shengli Energy

Honors

2023, First prize of China Geographic Information S&T Progress Award

2023, China Remote Sensing Conference "New Forces of Remote Sensing"

2023, Lecturer of National first-class Undergraduate course

2023, China University of Mining and Technology (Beijing) teaching pioneer

2022, First Prize of Science and Technology Award of China Coal Industry Association

2022, Beijing Excellent Undergraduate graduation Design (thesis) instructor

2022, Second prize of Beijing Education and Teaching Achievement Award

2021, the teaching team of the Ideological and political Demonstration course of graduate education courses in Beijing universities

2021, University Excellent undergraduate Education Team in Beijing

2020, First prize of National Coal industry education and teaching achievements

2019, Beijing high-quality undergraduate teaching materials courseware

2019, Yueqi Young Scholar, China University of Mining and Technology (Beijing)

2018, First Prize of Teaching Achievement Award of China University of Mining and Technology (Beijing)

2015, Third prize of Shanxi Science and Technology Progress Award

Selected Publications

[1] Yaling Xu, Li Guo, Jun Li*, Chengye Zhang et al. Automatically identifying the vegetation destruction and restoration of various open-pit mines utilizing remotely sensed images: Auto-VDR. Journal of Cleaner Production, 2023, 137490.

[2] 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

[3] Jun Li, Yaling Xu, Chengye Zhang*, et al. 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.

[4] Jun Li, Yanqiu Pei, Shaohua Zhao, Rulin Xiao, et al. A review of remote sensing for environmental monitoring in China, Remote Sensing, 2020, 12(7), 1130.

[5] Li, J, Zhu, Y, Liu, J, Zhang, C, Sang, X, Zhong, Q. Parcel-level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China. Transactions in GIS. 2021; 00: 1– 25.

[6] 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.

[7] 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.

[8] Jun Li, Chuanying PengChengye Zhanget alGeneral statistical rules of vegetation disturbance range by open-pit mining based on a large sample: Acase study of Shendong coal baseJ].Journal of China Coal Society202348(2): 975985

[9] Jun Li, Xiao Sang, Chengye Zhang, Wei Zhao, Xinhua Liu,  Hongpeng Wang, Jinyang Wang, Jiayao Li, Ying Yang. Analysis of Long Time Series Soil Moisture Content Changes in Resource Based Cities - Taking Xilinhot City as an Example, Surveying and Mapping Bulletin, 2021, 0 (7): 17-22,38

[10] Jun Li, Juqing Liu, Xuesheng Zhao, Qian Huang, Wenbin Sun, Zhihua Xu, Hao Wang. A Trajectory Data Management and Analysis Framework Supported by Geographic Grid Models: Methods and Applications. Journal of Wuhan University (Information Science Edition), 2021,46 (05): 640-649

[11] Jun Li, Juqing Liu, Lin You, Yan Yu,  Xiaopan Zhang, Heng Dong. Research on the intelligent decision-making system and application of land reserve supported by spatiotemporal big data, China Land Science, 2019, 33 (9): 111-120