谷洋洋 青年研究员

 谷洋洋，钟山青年研究员，2024年获南京农业大学农业信息学博士学位。研究方向为作物表型监测，主要专注基于点云、光谱和图像等多源遥感信息融合的作物三维光合表型研究，相关成果发表在《Remote Sensing of Environment》、《Computers and Electronics in Agriculture》、《IEEE Transactions on Geoscience and Remote Sensing》、《Plant Phenomics》和《Plant Methods》等国际核心期刊。

部分论著：

Gu, Y., Wang, Y., Wu, Y., Warner, T., Guo, T., Ai, H., Zheng, H., Cheng, T., Zhu, Y., Cao, W., Yao, X.*. Novel 3D photosynthetic traits derived from the fusion of UAV LiDAR point cloud and multispectral imagery in wheat [J]. Remote Sensing of Environment. 2024, 311: 114244. 

Gu, Y., Wang, Y., Guo, T., Guo, C., Wang, X., Jiang, C., Cheng, T., Zhu, Y.*, Cao, W., Chen, Q.*, Yao, X.*. Assessment of the influence of UAV-borne LiDAR scan angle and flight altitude on the estimation of wheat structural metrics with different leaf angle distributions [J]. Computers and Electronics in Agriculture. 2024, 220: 108858. 

Gu, Y., Ai, H., Guo, T., Liu, P., Wang, Y., Zheng, H., Cheng, T., Zhu, Y.*, Cao, W., Yao, X.*. Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR [J]. Plant Methods. 2023, 19: 134. 

Wang Y., Gu Y., Tang J., Warner, T., Guo C., Zheng H., Hosoi, F., Cheng T., Zhu Y., Cao W., Yao X.*. Quantify wheat canopy leaf angle distribution using terrestrial laser scanning data [J]. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 1-15.

Wu, Y., Wang, W., Gu, Y., Zheng, H., Yao, X., Zhu, Y., Cao, W., Cheng, T.*. SPSI: A novel composite index for estimating panicle number in winter wheat before heading from UAV multispectral imagery [J]. Plant Phenomics. 2023, 5: 0087. 

Pan Y., Wu W., Zhang J., Zhao Y., Zhang J., Gu Y., Yao X., Cheng T., Zhu Y., Cao W., Tian Y.*. Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing [J]. Computers and Electronics in Agriculture, 2023, 208:107769.