Dekun Yuan (θ’εΎ·ε€)
China University of Petroleum (East China)
Ph.D. Student, China University of Petroleum (East China)
I am a first-year Ph.D. student in the College of Oceanography and Sapce Informatics at China University of Petroleum (East China). Before that, I received my M.S. degree in College of Computer Science & Technology at Qingdao University.
My research interests lie in the deep learning, computer vision, microscopic image processing, and multimodal.
My full paper list can be found at *******
Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms
IEEE Transactions on Geoscience and Remote Sensing
D. Yuan, S. Zhang, H. Li, J. Zhang, S. Yang and Y. Bai
[Arxiv] [Github] [Page] [Demo]
In this study, we obtained the optimal time-series of Vm25 by evaluating the Vm25 retrieved through the EnKF regarding the GPP simulation at different time steps. We computed and selected the variables having high correlations with Vm25 to model this factor using four ML algorithms.
Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine Learning
Remote Sensing
Kong, D.; Yuan, D.; Li, H.; Zhang, J.; Yang, S.; Li, Y.; Bai, Y.; Zhang, S.
[Arxiv] [Github] [Page] [Demo]
We compared the performance of the H-LUE model against two widely used LUE models (VPM and VPRM) using observed daily GPP from 180 flux sites that cover nine different PFTs.