Hengqian ZHAO


Personal Information

Hengqian ZHAO

Associate professor

Emailzhaohq@cumtb.edu.cn

Research Interests

(1) Hyperspectral quantitative analysis models

(2) Remote sensing of resources and environment in the mining area

(3) Dual carbon targets and sustainable development

(4) Remote sensing big data analysis and artificial intelligence interpretation

(5) Research and development of hyperspectral non-destructive rapid testing and analysis technology

Education/Work Background

2006.09-2010.06 China University of Mining and Technology, Geographic Information Systems, Bachelor;

2010.09-2015.07 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Cartography and Science of Geographic Information Systems, PhD;

2015.07-2015.12 College of Geoscience and Surveying EngineeringChina University of Mining and Technology (Beijing), Assistant;

2016.01-2018.06 College of Geoscience and Surveying EngineeringChina University of Mining and Technology (Beijing), Lecturer;

2018.12-2019.12 USDA Southern Plains Agricultural Research Center, Visitor Scholar;

2018.07-Now College of Geoscience and Surveying EngineeringChina University of Mining and Technology (Beijing), Associate Professor.

Teaching Courses

High-Resolution Remote Sensing

Interpretation and Application of Remote Sensing Images

New Technology of Modern Surveying and Mapping and Frontier of Natural Resources Survey and Monitoring

Modern Surveying and Mapping Theory and Method

Key Research Funding

[1] Hyperspectral Quantitative Analysis of Mineral Pigments in Ancient Chinese Heavy Color Paintings, National Natural Science Foundation of China Project, 2018.01-2020.12, PI

[2] Research on Key technologies for Retrieving vegetation Physicochemical Parameters in Mining areas based on Satellite multi-spectral Data, Key Open Project of State Key Laboratory of Coal Resources and Safe Mining, 2020.12-2022.09, PI

[3] Research on Monitoring methods of peanut and soybean planting Area in Northeast China based on Remote Sensing Spatiotemporal Big Data, Shenyang Institute of Atmospheric Environment, China Meteorological Administration Joint Key Open Fund Project, 20221.06-2023.05, PI

Honors

(1) Outstanding talents in Beijing;

(2) Member of the Calibration Committee of China Remote Sensing Application Association;

(3) Member of Young and middle-aged editorial Board member of the Journal of China University of Mining and Technology;

(4) The Yueqi Young Scholar of China University of Mining and Technology (Beijing);

(5) Outstanding graduate of Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.


Selected Publications

[1]  Hengqian Zhao, Yifeng Yang, etc. Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio[J]. Computers and Electronics in Agriculture, 2023, 207:107743. (Q1, IF=8.3)

[2]  Pan Wang, Hengqian Zhao*, etc. Fast Tailings Pond Mapping Exploiting Large Scene Remote Sensing Images by Coupling Scene Classification and Sematic Segmentation Models[J]. Remote Sensing, 2023, 15(2): 327. (Q1, IF=5.349)

[3]  Hengqian Zhao, Zihan Yang, etc. Emergency Monitoring of a Tailings Pond Leakage Accident Based on the GEE Platform, Sustainability, 2022(14): 8558. (Q1, IF=3.889)

[4]  Hancong Fu, Hengqian Zhao*, etc. Cotton aphid infestation monitoring using Sentinel-2 MSI imagery coupled with derivative of ratio spectroscopy and random forest algorithm[J]. Frontiers in Plant Science, 2022, 13: 1029529-1029529. (Q1, IF=6.627)

[5]  Hengqian Zhao, Chenghai Yang, etc. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing, 2020(12): 1930.( Q1,IF=5.349)

[6]  Hengqian Zhao, Yunli Wang, etc. Spectral reflectance characterization and fiber type discrimination for common natural textile materials using a portable spectroradiometer[J]. Journal of Archaeological Science, 2019, 111: 105026. (Q1, IF=3.508)

[7]  Hengqian Zhao, Xuesheng Zhao. Nonlinear unmixing of minerals based on the log and continuum removal model[J]. European Journal of Remote Sensing, 2019, 52(1): 277-293. (Q1, IF=3.168)

[8]  Hengqian Zhao, Xuesheng Zhao, etc., A Mineral Feature Extraction Method Based on Virtual Band Simulation[J], Remote Sensing Letters, 2017(8): 547-556. (Q1, IF= 2.369)

[9]  Hengqian Zhao, Xuesheng Zhao, etc., Mineral Absorption Feature Extraction from High-Density Vegetation Area using Reference Spectral Background Removal[J], IEEE Geoscience and Remote Sensing Letters, 2016(13): 1994-1998. (Q1, IF= 5.343)

[10]  Hengqian Zhao, Lifu Zhang, etc., Hyperspectral Feature Extraction Based on the Reference Spectral Background Removal Method [J], IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015(8):2832-2844. (Q1, IF= 4.715)