教育经历：

2018.10-2019.10　University of Hull (UK), 联合培养博士

2016.09-2020.06 北京师范大学，自然灾害学专业理学博士学位

2013.09-2016.06 北京师范大学，地图学与地理信息系统专业理学硕士学位

2009.09-2013.06 北京师范大学，地理信息系统专业理学学士学位

工作经历：

2020.11-2023.09 中国科学院空天信息创新研究院，博士后

研究方向：

地球系统科学数据共享与知识服务；可持续发展与大数据防灾减灾；灾害遥感；定量（森林/植被）遥感

科研项目：

1. 中国博士后科学基金面上基金：震后山区孕灾环境变化下的“降雨-滑坡-山洪”灾害链过程量化模拟研究（2022M713222），主持

2. 一带一路地球大数据分析与决策支持系统平台研发专题子课题：村镇尺度夜间灯光数据集构建及应用方法研究（XDA19030101-05），子课题负责人

 

代表性论文：

1.Li, C., Chen, F., Wang N., Yu B., and Wang, L., 2023, SDGSAT-1 nighttime light data improve village-scale built-up delineation. Remote sensing of environment 297: 113764. 

2.Li, C., Wang, M., Chen, F., Thomas J. C., and Wang, L., 2023. Integrating the SLIDE model within CAESAR-Lisflood: Modeling the ‘landslide-flash flood’ disaster chain mechanism under landscape evolution after an earthquake in a mountainous area. Catena 227: 107124. 

3.Li, C., Song, J., and Wang, J., 2021. New approach to calculating tree height at the regional scale. Forest Ecosystems 8(24): 1-19. 

4.Li, C., Wang, M., Liu, K. and Thomas J. C., 2020. Landscape evolution of the Wenchuan earthquake-stricken area in response to future climate change. Journal of Hydrology 590(125244):1-13. 

5.Li, C., Wang, M., Liu, K. and Xie J., 2018. Topographic changes and their driving factors after 2008 Wenchuan earthquake. Geomorphology 311: 27-36.

6.Li, C., Wang, M., Liu, K., 2018. A decadal evolution of landslides and debris flows after the Wenchuan earthquake. Geomorphology 323: 1-12.

7.Li, C., Song, J., Wang, J., 2015. Modifying geometric-optical bidirectional reflectance model for direct inversion of forest canopy leaf area index. Remote Sensing 7(9), 11083-11104.

8.Wang L., Yu B., Chen F., Wang N., and Li C.*, 2022. An analysis of eco-environmental changes in rural areas in China based on sustainability indicators between 2000 and 2015. Land 11 (8), 1321.

9.李从容, 汪明, 刘凯, 2019.半方差函数模型在滑坡、泥石流沟分布识别中的应用——以四川洪溪河流域为例[J]. 地理与地理信息科学, 35(2), 53-58. 

10.Li, C., Song, J., Wang, J., The exploring research of a geometric optical canopy reflectance model (goms) for retrieving leaf area index directly, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, July 13, 2014 - July 18, 2014, Quebec City, QC, Canada, 2014; Institute of Electrical and Electronics Engineers Inc.: Quebec City, QC, Canada, 808-811.

11.Wang, L.; Yu, B.; Chen, F.; Li, C.; Li, B.; Wang, N., 2022. A cluster-based partition method of remote sensing data for efficient distributed image processing. Remote Sensing 14(19), 4964. 

12.Qu, Y., Han, W., Fu, L., Li, C., Song, J., Zhou, H., Bo, Y., Wang, J., 2014. Lainet - a wireless sensor network for coniferous forest leaf area index measurement: Design, algorithm and validation. Computers and Electronics in Agriculture 108, 200-208.

 

联系方式：

　　通信地址：北京市朝阳区大屯路甲11号中国科学院地理科学与资源研究所

　　邮  编：100101

　　E–mail: licr@lreis.ac.cn