个人简介
学习与工作经历
2003.07,在西北大学取得地图学与地理信息系统专业硕士学位,并进入山东科技大学工作,担任教学与科研工作;
2008.06,在山东科技大学取得摄影测量与遥感专业博士学位;
2010.02-2013.10,在南京师范大学虚拟地理环境教育部重点实验室从事博士研究工作,并取得地理学博士后证书。
主讲课程
地理信息系统原理与应用,数字高程模型原理与方法
课题
1.主持国家自然科学基金面上项目:DEM纹理的地理空间认知与分析研究(NO.41971339);
2.主持国家自然科学基金面上项目:基于DEM的黄土沟头地貌研究(NO.41471331);
3.国家自然科学基金项目:基于DEM的山东丘陵流域结构谱系及其地理特征研究( NO.41601408)
4.主持国家重点研发项目子课题:渤海生态环境及水色要素遥感巡查技术研发;
5.主持国家卫星海洋应用中心委托项目:海上工程周边藻类监测技术研发.
获奖情况
1.曾荣获山东科技大学优秀教师、优秀班主任,山东科技大学优秀青年科技工作者,山东科技大学十佳青年、山东科技大学学生科技创新优秀指导教师等荣誉称号;
2.作为首位指导教师,指导本科生荣获全国大学生GIS应用技能大赛一等奖、全国测绘科技论文竞赛一等奖、ESRI杯GIS软件开发竞赛一等奖等各类奖项十余次。
近期论文
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1.Hongchun Zhu*, et al. (2018). Loess terrain segmentation from digital elevation models based on the region growth method, Physical Geography, 39(1): 51-66.
2. Zhu, H*., Zhao, Y. , & Liu, H. (2018). Scale characters analysis for gully structure in the watersheds of loess landforms based on digital elevation models. Frontiers of Earth Science,12(2): 431–443.
3.Hongchun Zhu, et al (2018). UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat, Appl. Opt. 57(27): 7722-7732.
4.Zhu HC, Zhao YP, Xu YX, et al. (2018). Hierarchy structure characteristics analysis for the China Loess watersheds based on gully node calibration. Journal of Mountain Science 15(12):2637-2650.
5.Zhu H, et al. (2016).Information Extraction of High Resolution Remote Sensing Images Based on the Calculation of Optimal Segmentation Parameters. PLoS ONE 11(6):e0158585.
6.Liu Haiying and Zhu Hongchun* (2016). Hyperspectral characteristic analysis for leaf nitrogen content in different growth stages of winter wheat, Applied Optics. 55(34): D151-D161. (通讯作者)
7.Haiying Liu, Hongchun Zhu* (2017). Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data, International Journal of Remote Sensing, 38:8-10, 2117-2134.(通讯作者)
8.Zhu Hongchun, Tang Guoan, et al. (2014). Extraction and analysis of gully head of Loess Plateau in China based on Digital Elevation Model. Chinese Geographical Science, 24(3): 328–338.
9. Zhu, H., et al. (2019). Landform classification based on optimal texture feature extraction from DEM data in Shandong Hilly Area, China. Frontiers of Earth Science,13(3): 1-15.
10. Zhu, H., et al. (2019). Spectral Characteristic Analysis and Remote Sensing Classification of Coastal Aquaculture Areas Based on GF-1 Data. Journal of Coastal Research, 90: 49-57.
11. Haiying Liu, Hongchun Zhu*, et al. (2019) Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat, International Journal of Remote Sensing, DOI: 10.1080/01431161.2019.1650984. (Online, 通讯作者)
12. Xiaobin Xu, Zhenhai Li, Xiaodong Yang, Guijun Yang, Cong Teng, Hongchun Zhu*, and Shuaibing Liu. (2019) Predicting leaf chlorophyll content and its nonuniform vertical distribution of summer maize by using a radiation transfer model. Journal of Applied Remote Sensing, 13(3), 034505.(通讯作者)