陈镔捷，男，1995年9月出生，博士，地理与空间信息技术系助理研究员。主要从事大数据与深度学习在大气环境遥感方面的研究，在国内外核心期刊发表论文数篇。
教育经历：
2017.09–2022.06，获得浙江大学农学博士学位（硕博连读），所学专业：农业遥感与信息技术
2013.09–2017.06，获得浙江大学理学学士学位，所学专业：资源环境科学
工作经历：
2022年7月至今宁波大学地理与空间信息技术系助理研究员
发表论文：
[1] Binjie Chen, Yang Ye, Cheng Tong, Jinsong Deng*, Ke Wang, Yang Hong. A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 2020. GIScience & Remote Sensing, 2022, 59, 670–685.
[2] Binjie Chen, Shixue You, Yang Ye, Yongyong Fu, Ziran Ye, Jinsong Deng*, Ke Wang, Yang Hong. An Interpretable Self-Adaptive Deep Neural Network for Estimating Daily Spatially-Continuous PM2.5 Concentrations across China. Science of the Total Environment, 2021, 768, 144724.
[3] Binjie Chen, Yi Lin, Jinsong Deng*, Zheyu Li, Li Dong, Yibo Huang, Ke Wang. Spatiotemporal dynamics and exposure analysis of daily PM2.5 using a remote sensing-based machine learning model and multi-time meteorological parameters. Atmospheric Pollution Research, 2021, 12, 23–31.
[4] 陈镔捷, 叶扬, 林溢, 游诗雪, 邓劲松*, 杨武，王珂. 耦合注意力机制DNN的PM2.5估算及时空特征分析. 遥感学报, 2022, 26(5), 1027–1038.
[5] Shixue You, Qiming Zheng, Binjie Chen, Zhihong Xu, Yue Lin, Muye Gan, Congmou Zhu, Jinsong Deng*, Ke Wang. Identifying the spatiotemporal dynamics of forest ecotourism values with remotely sensed images and social media data: A perspective of public preferences. Journal of Cleaner Production, 2022, 341(6), 130715.