欧聪

 


欧聪,男,1994年生,中国科学院地理科学与资源研究所特别研究助理/博士后。研究方向为农业地理与乡村发展,重点关注农业土地系统遥感监测、乡村地域系统演化过程解析及其转型机理诊断。以第一作者或合作作者发表学术论文20余篇,主持中国博士后基金面上资助项目1项。

教育背景与工作经历:

2021.6至今,中国科学院地理科学与资源研究所,特别研究助理/博士后

2016.9-2021.6,中国农业大学,硕博连读,工学博士

2012.9-2016.6,湖南农业大学,本科就读,管理学学士

主要项目:

博士后面上基金,《京津冀地区乡村地域系统演化过程及其资源环境效应研究》,2022M713116,主持。

获奖情况:

代表性论著:

1)Ou, C., & Wang, Y. (2022). Tracking Spatio-temporal Dynamics of Greenhouse-led Cultivated Land and its drivers in Shandong province, China. Frontiers in Environmental Science, 969.

2)Ou, C., Yang, J., Du, Z., Zhang, T., Niu, B., Feng, Q., Zhu, D. (2021). Landsat-derived annual maps of agricultural greenhouse in Shandong Province, China from 1989 to 2018. Remote Sensing, 13(23), 4830.

3)Ou, C., Yang, J., Du, Z., Liu, Y., Feng, Q., & Zhu, D. (2019). Long-term mapping of a greenhouse in a typical protected agricultural region using landsat imagery and the google earth engine. Remote Sensing, 12(1), 55.

4)Ou, C., Yang, J., Du, Z., Zhang, X., & Zhu, D. (2019). Integrating cellular automata with unsupervised deep-learning algorithms: A case study of urban-sprawl simulation in the Jingjintang urban agglomeration, China. Sustainability, 11(9), 2464.

5)Ou, C., Yang, J., Du, Z., Li, P., & Zhu, D. (2018). Simulating Multiple Land Use Changes by Incorporating Deep Belief Network into Cellular Automata: A Case Study in BEIJING-TIANJINHEBEI Region, China. the 21th AGILE Conference on Geographic Information Science. lund, 12-15.

6)Du, Z., Gao, B., Ou, C., Du, Z., Yang, J., Zhu, D. (2021). A quantitative analysis of factors influencing organic matter concentration in the topsoil of black soil in northeast China based on spatial heterogeneous patterns. ISPRS International Journal of Geo-Information, 10(5), 348.

7)Du, Z., Yang, J., Ou, C., & Zhang, T. (2019). Smallholder crop area mapped with a semantic segmentation deep learning method. Remote Sensing, 11(7), 888.

8)Du, Z., Yang, J., Ou, C., & Zhang, T. (2021). Agricultural land abandonment and retirement mapping in the Northern China crop-pasture band using temporal consistency check and trajectory-based change detection approach. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-12.

联系方式:oucong@igsnrr.ac.cn

通讯地址:北京市朝阳区大屯路甲11号,中科院地理科学与资源研究所;邮编:100101