基本信息：
张成业，副教授、博士生导师。国际矿山测量协会委员、中国遥感应用协会遥感自主工程软件专委会委员、中国测绘学会矿山测量专委会委员，Remote Sensing、煤田地质与勘探、自然资源遥感、金属矿山等SCI/EI/核心期刊青年编委或专刊主编。2013年本科毕业于北京航空航天大学遥感科学与技术专业；同年保送至北京大学直博，获得北京大学和美国普渡大学联合培养博士学位，获“北京大学优秀博士学位论文”、北京市优秀毕业生。发表SCI/EI收录论文20余篇，出版教材/专著2部，授权国家发明专利14项，授权计算机软件著作权13项，受邀参编《大国重器》科普图书。获得国家地理信息科技进步奖一等奖2项、全国煤炭工业科学技术奖一等奖、煤炭行业教学成果奖一等奖、教育部科技进步奖二等奖。主持和参与国家自然科学基金、高分重大专项、科技部国家科技平台项目、国际合作项目等各类科研项目十余项。主讲本科生《遥感数字图像处理》、《遥感导论》以及研究生《高分辨率遥感》、《航空航天遥感技术》、《学术规范与中英文论文写作》等课程。受邀担任IEEE TGRS、ISPRS、J-STARS、IJRS、JARS、地球科学等20余个国内外知名期刊的审稿人，捷克国家自然科学基金国际评审专家。
电子邮箱：czhang@cumtb.edu.cn 或 zhangchengye001@163.com
团队网站：www.rsgisai.com
知乎主页：https://www.zhihu.com/people/rsgisai
研究方向:
1、生态环境遥感监测及其信息化系统开发
2、自然资源遥感监测评价与智能决策
荣誉与奖励：
1. 2023年，国家地理信息科技进步奖一等奖
2. 2022年，全国煤炭行业科学技术奖一等奖
3. 2022年，全国大学生测绘学科创新创业智能大赛—一等奖指导教师
4. 2022年，第二届教师教学创新大赛一等奖
5. 2022年， 挑战杯首都大学生创业计划竞赛北京市银奖指导教师
6. 2021年，yl7703永利官网（北京）本科生优秀班主任、就业创业工作先进个人
7. 2021年，yl7703永利官网（北京）优秀教学成果奖一等奖
8. 2020年，全国煤炭行业教育教学成果一等奖
9. 2020年，yl7703永利官网（北京）优秀教学质量奖一等奖
10. 2020年，yl7703永利官网（北京）大创优秀指导教师奖、优秀全程导师奖
11. 2019年，中国大学生GIS软件开发竞赛优秀指导老师奖，中国测绘学会
12. 2013—2018年，国家奖学金、北京大学校长奖学金、北京大学三好学生、北京大学优秀博士学位论文、北京市优秀毕业生
13. 2018年，教育部科技进步奖二等奖
14. 2016年，国家地理信息科技进步奖一等奖
代表性论著：
1.张成业,李军*,雷少刚,杨金中,杨楠. 矿区生态环境定量遥感监测研究进展与展望. 金属矿山, 2022(3): 1-27.（期刊约稿，高PCSI论文、高被引论文，领跑者F5000中国精品科技期刊顶尖学术论文）
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. (SCI)
3. Chengye Zhang, Feiyue Li, Jun Li, et al. 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. (SCI)
4. 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. Environmental Monitoring and Assessment. 2023, 195(1). (SCI)
5. Chengye Zhang, Huiyu Zheng, Jun Li*, et al. 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. (SCI)
6. 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. (SCI)
7. Jun Li, Tingting Qin, Chengye Zhang*, et al. A new method for quantitative analysis of driving factors for vegetation coverage change in mining areas: GWDF-ANN. Remote Sensing. 2022, 14(7): 1579. (SCI)
8. Chengye Zhang, Huiyu Zheng, Jun Li*, et al. 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. (SCI)
9. Jun Li, Yan Zhu, Juqing Liu, Chengye Zhang*, et al. 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. (SCI)
10. Chengye Zhang, Jun Yue, Qiming Qin. Deep quadruplet network for hyperspectral image classification with a small number of samples. Remote Sensing. 2020, 12: 647. (SCI)
11. Chengye Zhang, Yanqiu Pei et al. 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: 1416. (SCI)
12. 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. (SCI)
13. Chengye Zhang, Qiming Qin*, Li Chen, et al. Rapid determination of coalbed methane exploration target region utilizing hyperspectral remote sensing. International Journal of Coal Geology. 2015, 150: 19-34. (SCI)
14. Chengye Zhang*, Huazhong Ren, Xiujuan Dai, et al. 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. (SCI)
15. Chengye Zhang*, Huazhong Ren, Ziyi Huang, et al. 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. (SCI)
16. Chengye Zhang, Qiming Qin*, Tianyuan Zhang, et al. Endmember extraction from hyperspectral image based on discrete firefly algorithm (EE-DFA). ISPRS Journal of Photogrammetry and Remote Sensing. 2017, 126: 108-119. (SCI)
17. Chengye Zhang, Huazhong Ren, et al. Advancing the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Remote Sensing. 2017, 9(11): 1191. (SCI)
18. 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. (SCI)
19. 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. (SCI)
20. 张成业,李飞跃,李军*,邢江河,杨金中,郭俊廷,杜守航. 基于DeepLab v3+与GF‒2高分辨率影像的露天煤矿区土地利用分类. 煤田地质与勘探, 2022, 50(6): 94-103.（EI）
21. 张成业，邢江河，李军*，桑潇. 基于U-net网络和GF-6影像的尾矿库空间范围识别. 自然资源遥感, 2021, 33(4): 252-257.
22. 李军,彭传盈,张成业*,李全生,张凯,刘举庆,马雪松.基于大样本的露天开采植被扰动范围一般性统计规律——以神东煤炭基地为例. 煤炭学报, 2023, 48(2): 975-985.（EI，卓越期刊论文）
23. 张成业，李小娟，刘东升，任芳，袁德宝. PIE遥感图像处理专题实践. 北京：地质出版社，2021.
