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林琳

博士后

办公电话:18201116699

电子邮件: LinL0109@163.com

研究组主页:

教育背景
09/2004-07/2008 东北师范大学,生态学 学士
09/2009-07/2012 中国科学院,自然地理学 硕士
09/2012-07/2018 中国科学院,生态学 博士
工作经历
2018.10-今,清华大学地球系统科学系,博士后
研究兴趣
遥感与人工智能(AI)
奖励荣誉
研究概况
职称 博士后 办公电话 18201116699
电子邮件 LinL0109@163.com 研究组主页
教育背景 09/2004-07/2008  东北师范大学,生态学 学士<br>
09/2009-07/2012  中国科学院,自然地理学 硕士<br>
09/2012-07/2018  中国科学院,生态学 博士
工作经历 2018.10-今,清华大学地球系统科学系,博士后
研究兴趣 遥感与人工智能(AI) 奖励荣誉

1. Lin, L., Yan, J., Ma, K., Zhou, W., Chen, G., Tang, R., Zhang, Y., 2017. Characterization of particulate matter deposited on urban tree foliage: A landscape analysis approach. Atmospheric Environment. 171, 59-69.

2. Lin, L., G. Chen, J. Yan, R. Tang, X. Yuan, Z. Yin, and R. Zhang. 2018. A factor analysis of landscape metrics of particles deposited on leaf surface. Environmental Science and Pollution Research. 25:28391-28402.

3. Lin, L., Yan, J., Chen, G., Tang, R., Bao, L., Ma, K., … Zhou, S. 2018. Does magnification of SEM image influence quantification of particulate matters deposited on vegetation foliage. Micron, 115, 7–16.

4. Yan, J., Lin, L, et al., 2016. A novel approach for quantifying particulate matter distribution on leaf surface by combining SEM and object-based image analysis. Remote Sensing of Environment. 173: 156-161.(First co-author)

5. Yan, J, Lin, L, Zhou, W, Han, L, Ma, K, 2016. Quantifying the characteristics of particulate matters captured by urban plants using an automatic approach. J Environ Sci-China. 39:259-267.

6. Lu Y, Fu B, Lin L, 2015. Land Degradation Research: The Need for a Broader Focus. Environmental Science & Technology, 49: 689-690.