李伟 青年研究员

 李伟，2024年9月博士毕业获南京农业大学农业信息学博士学位，现为钟山青年研究员。主要从事农业卫星遥感，围绕卫星影像融合、作物生长监测开展研究。

部分论著：

Li, W., Li, D., Liu, S., Baret, F., Ma, Z., He, C., Warner, T.A., Guo, C., Cheng, T., Zhu, Y., Cao, W., & Yao, X. (2023). RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background. ISPRS Journal of Photogrammetry and Remote Sensing, 200, 138-152.

Li, W., Jiang, J., Guo, T., Zhou, M., Tang, Y., Wang, Y., Zhang, Y., Cheng, T., Zhu, Y., Cao, W., & Yao, X. (2019). Generating Red-Edge Images at 3 M Spatial Resolution by Fusing Sentinel-2 and Planet Satellite Products. Remote Sensing, 11.

Ma, Z., Li, W., Warner, T.A., He, C., Wang, X., Zhang, Y., Guo, C., Cheng, T., Zhu, Y., Cao, W., & Yao, X. (2023). A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data. International Journal of Applied Earth Observation and Geoinformation, 122, 103386.

Jia, M., Li, W., Wang, K., Zhou, C., Cheng, T., Tian, Y., Zhu, Y., Cao, W., & Yao, X. (2019). A newly developed method to extract the optimal hyperspectral feature for monitoring leaf biomass in wheat. Computers and Electronics in Agriculture, 165, 104942.

Zheng, H., Li, W., Jiang, J., Liu, Y., Cheng, T., Tian, Y., Zhu, Y., Cao, W., Zhang, Y., & Yao, X. (2018). A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle. Remote Sensing, 10, 2026.

Zhu, J., Lu, J., Li, W., Wang, Y., Jiang, J., Cheng, T., Zhu, Y., Cao, W., & Yao, X. (2023). Estimation of canopy water content for wheat through combining radiative transfer model and machine learning. Field Crops Research, 302, 109077.

Mustafa, G., Zheng, H., Li, W., Yin, Y., Wang, Y., Zhou, M., Liu, P., Bilal, M., Jia, H., Li, G., Cheng, T., Tian, Y., Cao, W., Zhu, Y., & Yao, X. (2023). Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods. Frontiers in Plant Science, 13.

Khan, I.H., Liu, H., Li, W., Cao, A., Wang, X., Liu, H., Cheng, T., Tian, Y., Zhu, Y., Cao, W., & Yao, X. (2021). Early Detection of Powdery Mildew Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat. Remote Sensing, 13.

已授权发明专利：

朱艳、李伟、姚霞、李栋、唐金昕、许鑫文、吕铭豫、郭彩丽、郑恒彪、程涛、曹卫星，一种缓解LCC与秸秆-土壤背景影响的小麦LAI估算方法，ZL 2023 1 0400044.2，2024.2.27.

姚霞、李伟、程涛、朱艳、田永超、曹卫星、张羽、马吉峰，一种基于Sentinel-2卫星影像红边波段改进小麦生长早期叶面积指数估算的方法，ZL 2022 1 0172049.5，2022.3. 22.