Personal Information
Keming YANG
Professor
Email：ykm@cumtb.edu.cn
Research Interests
(1) Hyperspectral remote sensing and biochemical parameter inversion.
(2) Remote sensing monitoring of ecological environment quality and geological hazards in mining areas.
(3) Mining subsidence and microwave radar interferometry measurement.
Education/Work Background
1990.09-1994.07, Geological Survey Department, Shandong University of Mining and Technology (Currently Shandong University of Science and Technology), Bachelor;
1994.07-1998.09, Shuoli Coal Mine, Huaibei Mining (Group) Co., Ltd, Engineer;
1998.09-2001.07, School of Resource and Security Engineering, China University of Mining and Technology (Beijing), Master;
2001.07-2007.10, School of Resource and Security Engineering, China University of Mining and Technology (Beijing), Assistant Professor;
2004.03-2007.01, School of Resource and Security Engineering, China University of Mining and Technology (Beijing), PhD;
2007.10-2013.06, School of Earth Science and Surveying Engineering, China University of Mining and Technology (Beijing), Associate Professor;
2014.09-2015.07, College of Mining Engineering, Guizhou University of Engineering Science, Teaching Support Work;
2013.06-Now, School of Earth Science and Surveying Engineering, China University of Mining and Technology (Beijing), Professor.
Teaching Courses
Remote Sensing Principles and Applications.
Frontiers of Information Surveying and Resource Environment Monitoring.
Key Research Funding
[1]. Compilation and spatialization of background data on resources, environment, and economic and social development in the Eurasian continent. Science & Technology Fundamental Resources Investigation Program (Grant No. 2022FY101900), 2022-2026, PI.
[2]. Researching on Discriminating the Spectral Variations and Identifying the Element Types of Crop Polluted by Heavy Metals in Mining Areas. National Natural Science Foundation of China (No. 41971401), 2020-2023.
[3]. Monitoring and Analysis methods of Heavy Metal Environment Pollution in Mining Area Supported by Hyperspectral Remote Sensing Technology. National Natural Science Foundation of China (No. 41271436), 2013-2016.
[4]. Remote sensing monitoring of environmental quality and analysis of geological hazard trends in old closed mines in the southern region of Zhahe mining area. Huaibei Mining Enterprise Research Project (No. 2023-129), 2023-2024.
[5]. Safety monitoring and stability analysis of important surface buildings (structures) at the boundary affected by mining. Huaibei Mining Enterprise Research Project, 2018-2020.
Honors
2022.09, Second Prize of Beijing Education and Teaching Achievement Award.
2022.08, Second Prize of Geographic Information Technology Progress Award.
2020.12, Second Prize for Excellent Textbook on “Remote Sensing Principles and Applications” in the Coal Industry of China.
2020.10, “Fundamentals of Photogrammetry” is a high-quality undergraduate textbook for Beijing universities.
Selected Publications
[1] Keming YANG. Remote Sensing Principles and Applications. Xuzhou: China University of Mining and Technology Press, 2016.08.
[2] Keming YANG. Information extraction technology for hyperspectral remote sensing images. Beijing: Geological Publishing Press, 2013.03.
[3] Keming YANG. Fundamentals of Photogrammetry. Beijing: China Electric Power Press, 2011.08.
[4] Keming YANG, Yanru LI*. Effects of water stress and fertilizer stress on maize growth and spectral identification of different stresses. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2023, 297, 122703.
[5] Keming YANG*, Zhixian HOU, Xiangping WEI, et al. Research on the spatiotemporal prediction of mining deformation with subcritical extraction integrated with D-InSAR Technology. Advances in Space Research, 2023, 72(8), 3082-3095.
[6] Yanru LI, Keming YANG*, Hengqian ZHAO. Scale transfer learning of hyperspectral prediction model of heavy metal content in maize: From laboratory to satellite. International Journal of Remote Sensing, 2023, 44(8), 2590-2610.
[7] Kegui JIANG, Keming YANG*, Yanhai ZHANG, et al. An Extraction Method for Large Gradient Three-Dimensional Displacements of Mining Areas Using Single-Track InSAR, Boltzmann Function, and Subsidence Characteristics. Remote Sensing, 2023, 15(11), 2946.
[8] Ya-xing LI, Keming YANG*, Jianhong ZHANG, et al. Research on time series InSAR monitoring method for multiple types of surface deformation in mining area. Natural Hazards, 2022, 114(3), 2479-2508.
[9] Bing WU, Keming YANG*, Wei GAO, et al. EC-PB Rules for Spectral Discrimination of Copper and Lead Pollution Elements in Corn Leaves. Spectroscopy and Spectral Analysis, 2022, 42(10), 3256-3262. (in Chinese)
[10] Jianhong ZHANG, Min WANG, Keming YANG*, et al. The New Hyperspectral Analysis Method for Distinguishing the Types of Heavy Metal Copper and Lead Pollution Elements. International Journal of Environmental Research and Public Health, 2022, 19, 7755.
[11] Jian WANG, Li YAN, Keming YANG*, et al. Deriving Mining-Induced 3-D Deformations at Any Moment and Assessing Building Damage by Integrating Single InSAR Interferogram and Gompertz Probability Integral Model (SII-GPIM). IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4709817.
[12] Jian WANG, Jun MA, Keming YANG*, et al. Effects and laws analysis for the mining technique of grouting into the overburden bedding separation[J]. Journal of Cleaner Production, 2021, 288, 125121.
[13] Pingjie FU, Wei ZHANG, Keming YANG*, et al. Using the Hilbert–Huang spectrum transformation to estimate soil lead concentration. Remote Sensing Letters, 2021, 12(8), 768-777.
[14] Min WANG, Keming YANG*, Guoping WANG. Relative radiometric calibration of yaw data without calibration field of hyperspectral images based on harmonic analysis. International Journal of Remote Sensing, 2020, 41(14), 5429-5442.
[15] Hui GUO, Keming YANG*, Long CHENG, et al. Using the characteristic parameters of Hilbert marginal spectrum for indirectly estimating copper content in maize leaves under copper stress. Remote Sensing Letters, 2019, 10(11), 1067-1076.