Chengye Zhang

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Chengye Zhang


PhD, Associate professor, PhD supervisor


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




Contact:czhang@cumtb.edu.cn / zhangchengye001@163.com




Research Interests

quantitative remote sensing; multi- and hyper-spectral remote sensing; remote sensing of vegetation; machine learning; radiative transfer model.


Academic Background

2013-2018,PhD, Peking University.

2016-2017, Joint PhD, Purdue University.

2009-2013, Bachelor, Beihang University.

Papers

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.

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

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.

Chengye Zhang, Jun Yue*, Qiming Qin. Deep Quadruplet Network for Hyperspectral Image Classification with a Small Number of Samples. Remote Sensing, 2020, 12(4), 647.

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.

Chengye Zhang, Jun Yue*, Qiming Qin. Global Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 4748-4759.

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, Tingting Qin, Chengye Zhang*, et al. Automated generation of consistent annual maximum NDVI on coal bases with a new algorithm. Scientific Data, 2024. https://doi.org/10.1038/s41597-024-03543-2.

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, 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, 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.

Yaling Xu, Jun Li*, Chengye Zhang, et al. Dynamics of Carbon Sequestration in Vegetation Affected by Large-Scale Surface Coal Mining and Subsequent Restoration. Scientific Reports, 2024, 14: 13479.

Jianghe Xing, Zhenwei Li, Jun Li*, Shouhang Du, Wei Li, Chengye Zhang. A classification framework with multi-level fusion of object-based analysis and convolutional neural network: a case study for land use classification in mining areas. Geo-spatial Information Science, 2024: 1-17.

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: 1-22.

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)

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.

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.

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.(accepted)

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, 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, 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.

Yuanheng Sun ; Huazhong Ren ; Tianyuan Zhang ; Chengye Zhang ; Qiming Qin. Crop Leaf Area Index Retrieval Based on Inverted Difference Vegetation Index and NDVI. IEEE Geoscience and Remote Sensing Letters. Year: 2018, 15(11): 1662 – 1666.

Chengye Zhang, Qiming Qin*, Tianyuan Zhang, Yuanheng Sun, Chao Chen. Endmember extraction from hyperspectral image based on discrete firefly algorithm (EE-DFA). ISPRS Journal of Photogrammetry and Remote Sensing. 2017, 126: 108-119.

Chengye Zhang, Huazhong Ren, Yanzhen, Liang, Suhong Liu, Qiming Qin*, Okan Ersoy. Advancing the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Remote Sensing. 2017, 9(11): 1191.

Chengye Zhang, Huazhong Ren, Qiming Qin*, Okan K. Ersoy. A new narrow band vegetation index for characterizing the degree of vegetation stress due to copper: the copper stress vegetation index (CSVI). Remote Sensing Letters. 2017, 8:6, 576-585.

Tianyuan Zhang, Huazhong Ren, Qiming Qin*, Chengye Zhang, Yuanheng Sun. Surface Water Extraction from Landsat 8 OLI Imagery Using the LBV Transformation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 99:1-13.

Tianyuan Zhang ; Huazhong Ren ; Yuanheng Sun ; Chengye Zhang ; Qiming Qin. Simultaneous retrieval of leaf area index and fractional canopy cover using SAIL model and PSO algorithm. IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2017:5446-5449.

Yuanheng Sun ; Huazhong Ren ; Gongqi Zhou ; Tianyuan Zhang ; Chengye Zhang ; Qiming Qin. The estimation and validation of fractional vegetation cover based on GaoFen-4 satellite imager. IGARSS 2017 - 2017 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2017:3495-3498.

Qiming Qin, Zili Zhang, Li Chen, Nan Wang, Chengye Zhang*. Oil and gas reservoir exploration based on hyperspectral remote sensing and super low frequency electromagnetic detection. Journal of Applied Remote Sensing. 2016,10(1): 016017.

Chao Chen, Qiming Qin, Li Chen, Hong Zheng, Wenzhe Fa, Abduwasit Ghulam, Chengye Zhang. Photometric correction and reflectance calculation for lunar images from the Chang’E-1 CCD stereo camera. Journal of the Optical Society of America A. 2015, 32(12): 2409-2422.

Chengye Zhang, Qiming Qin*, Li Chen, Nan Wang, Shanshan Zhao, Jian Hui. Rapid determination of coalbed methane exploration target region utilizing hyperspectral remote sensing. International Journal of Coal Geology. 2015, 150: 19-34.

Chengye Zhang, Qiming Qin, Li Chen, Nan Wang, Yanbing Bai, Shanshan Zhao. Hyperspectral remote sensing for coal-bed methane exploration. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 13, 2014 - July 18, 2014. Quebec City, QC, Canada. pp. 262-265.