近五年以第一或通讯作者发表的主要学术论文有： 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） |