
徐斌元,男,汉族,甘肃省张掖人,群众。2019年6月毕业于华中农业大学资源与环境学院地理信息科学专业,获理学学士学位;2025年6月毕业于华中农业大学资源与环境学院资源环境信息工程专业,获博士学位。2026年4月至今在河西学院农业与生态工程学院任讲师。
联系方式:xby@hxu.edu.cn
一、主讲课程
农业人工智能、3S技术原理与应用、农业定量遥感
二、研究方向
作物表型监测、作物生长监测、植被定量遥感等
三、近十年发表的主要论文及发明专利
以第一/共同第一作者或通讯/共同通讯作者发表的论文:
1.Xu, B., H. Tian, S. Pan, X. Li, R. Meng, O. Melo, A. McDonald, M. Picone, X. Song, E. Severnini, K. Young, and F. Zhao. (2025). HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1-km gridded data for soybean, maize, wheat, and rice (1950-2020). Earth System Science Data, 17 (11), 6353-6377. (中科院1区Top, IF = 11.2)
2.Xu, B., R. Meng, P. Zhao, F. Zhao, Y. Wang, W. Deng, X. Yang, J. Liu, and H. Tian. (2025). Uncovering environmental drivers of Erigeron annuus distribution in Dajiuhu-Shennongjia wetland using multi-scale remote sensing data. Pest Management Science, 81(10), 6791-6806. (中科院1区Top, IF = 3.8)
3.Lv, Z.#, B. Xu#, L. Zhong, G. Chen, Z. Huang, et al. (2024). Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method. Computers and Electronics in Agriculture, 224, 109232. (中科院1区Top, IF = 7.7)
4.Xu, B., R. Meng, G. Chen, L. Liang, Z. Lv, et al. (2023). Improved weed mapping in corn fields by combining UAV-based spectral, textural, structural, and thermal measurements. Pest Management Science, 79(7), 2591-2602. (中科院1区Top, IF = 4.1)
合作发表论文:
5.Zhang, R, H. Xiong, Y. Liu, Y. Xu, L. Huang, B. Wen, W. Zhao, P. Zhao, B. Xu, Y. Bai, R. Meng (2026). Plant functional traits and diversity of community link to the plant invasion dominance in the subalpine wetland of Shennongjia National Nature Reserve, China. Plants 15(11): 1702. (中科院2区, IF = 4.7)
6.Zhao, P, R. Meng, B. Xu, J. Wu, Y. Shen, J. Liu, B. Huang, T. Yin, M. P. Ferreira, and F Zhao (2026). Improved grass species mapping in high-diversity wetland by combining UAV-based spectral, textural, geometric measurements. Remote Sensing 18(6): 927. (中科院2区, IF = 4.2)
7.Huang, Z., L. Zhong, F. Zhao, J. Wu, H. Tang, Z. Lv, B. Xu, et al. (2023). A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 204, 397-420. (中科院1区Top, IF = 10.6)
8.Lv, Z., R. Meng, G. Chen, F. Zhao, B. Xu, et al. (2023). Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight. Precision Agriculture, 24, 1593-1618. (中科院2区, IF = 5.4)
9.Zhou, L., R. Meng, X. Yu, Y. Liao, Z. Huang, Z. Lv, B. Xu, et al. (2023). Improved yield prediction of ratoon rice using unmanned aerial vehicle-based multi-temporal feature method. Rice Science, 30(3), 247-256. (中科院2区, IF = 5.6)
10.Meng, R., B. Xu, F. Zhao, Y. Dong, C. Wang, R. Sun, et al. (2022). Characterizing the provision and inequality of primary school greenspaces in China’s major cities. Urban Forestry & Urban Greening, 75, 127670. (中科院1区, IF = 6.4, 2022年McBride最佳论文奖, 导师一作)
11.Zhou, L., R. Meng, Y. Tan, Z. Lv, Y. Zhao, B. Xu, et al. (2022). Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment. Urban Forestry & Urban Greening, 69, 127489. (中科院1区, IF = 6.4)
12.Xu, L., L. Zhou, R. Meng, F. Zhao, B. Xu, et al. (2022). An improved approach to estimate ratoon rice aboveground biomass by integrating UAV based spectral, textural and structural features. Precision Agriculture, 1-26. (中科院2区, IF = 5.4)
13.Zeng, L., G. Peng, R. Meng, J. Man, W. Li, B. Xu, et al. (2021). Wheat yield prediction based on unmanned aerial vehicles-collected Red–Green–Blue Imagery. Remote Sensing, 13(15), 2937. (中科院2区, IF = 4.2)
14.Lv, Z., R. Meng, J. Man, L. Zeng, M. Wang, B. Xu, et al. (2021). Modeling of winter wheat fAPAR by integrating unmanned aircraft vehicle-based optical, structural, and thermal measurement. International Journal of Applied Earth Observation and Geoinformation, 102, 102407. (中科院1区Top, IF = 7.6)
15.孟冉, 周龙飞, 徐乐, 吕振刚, 徐斌元, 刘婷婷, 曾小茜, 廖益贵. (2021). 农业遥感技术助力智慧农业可持续发展. 智慧农业导刊, 2021, 1(10), 17-24.
16.Meng, R., Z. Lv, J. Yan, G. Chen, F. Zhao, L. Zeng, & B. Xu. (2020). Development of spectral disease indices for southern corn rust detection and severity classification. Remote Sensing, 12(19), 3233. (中科院2区, IF = 4.2)
专利:
1. 一种基于高光谱的植物病害快速检测方法(国家发明专利 公布号CN 115326720 A)。发明人:孟冉,吕振刚,陈庚申,赵峰,徐斌元,严建兵
四、近十年完成或参与完成及在研的项目
1. 河西学院博士科研启动金(2027-2030),校级,主持
2. 甘肃省联合科研基金重大项目(2026-2029),省部级,参与