欢迎访问河南省科学院地理研究所官方网站!

李阳光

来源: 本站 查看:

liyangguang.png


个人简况:

李阳光,男,汉族,中共党员,河南太康人

 

研究方向:

主要从事城市遥感、夜间灯光遥感和全球贫困度估算等方面研究

 

学历教育:

2019/09—2024/06   华东师范大学,地图学与地理信息系统专业   博士

2018/09—2019/06   华东师范大学,科研助理

2015/09—2018/06   浙江农林大学,森林经理学专业   硕士

2011/09—2015/06   平顶山学院,地理科学专业   学士

 

主要科研项目:

1、  国家自然科学基金:高时空分辨率积雪数据集支持下青藏高原植被返青对积雪融化的响应研究,2021-2024,参与,结项

2、  国家自然科学基金:基于夜光遥感的多时空尺度社会经济指标感知能力验证和关键技术研究,2023-2026,参与,在研

3、  国家自然科学基金:集合卡尔曼滤波耦合辐射传输模型的亚热带典型森林MODIS LAI时间序列同化,2017-2020,参与,结项

4、  浙江省与中国林业科学研究院省院合作林业科技项目:亚热带典型森林碳汇精准监测及时空模拟研究,2017-2019,参与,结项

 

代表性论文论著:

1、  Li Yangguang, Wu Bin, Wang Congxiao, Chen Zuoqi, Liu Shaoyang, Yu Bailang. (2024). Measuring Human Settlement Wealth Index at 10-Km Resolution in Low- and Middle-Income Countries from 2005 to 2020 Using Multi-Source Remote Sensing Data. International Journal of Digital Earth, 17(1): 2353160.

2、  Li Yangguang, Song Zhichao, Wu Bin, Yu Bailang, Wu Qiusheng, Hong Yuchen, Liu Shaoyang, Wu Jianping. (2022). Evaluating the ability of NOAA-20 monthly composite data for socioeconomic indicators estimation and urban area extraction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 1837-1845.

3、  Li Yangguang, Han Ning., Li Xuejian, Du Huaqiang, Mao Fangjie, Cui Lu, Liu Tengyan, Xing Luqi. (2018). Spatiotemporal estimation of bamboo forest aboveground carbon storage based on Landsat data in Zhejiang, China. Remote Sensing, 10(6), 898.

4、  李阳光, 杜华强, 毛方杰, 李雪建, 崔璐, 韩凝, & 徐小军. (2019). 基于时序 Landsat 数据的浙江省竹林信息提取及时空演变. 林业科学, 55(3), 88-96.

5、  Liu Shaoyang, Wang Congxiao, Chen Zuoqi, Li Wei, Zhang Lingxian, Wu Bin, Huang Yan, Li Yangguang, Ni Jingwen, Wu Jianping, Yu Bailang. (2024). Efficacy of the SDGSAT-1 glimmer imagery in measuring sustainable development goal indicators 7.1.1, 11.5.2, and target 7.3. Remote Sensing of Environment, 305, 114079.

6、  Liu Shaoyang, Wang Congxiao, Chen Zuoqi, Li Qiaoxuan, Wu Qiusheng, Li Yangguang, Wu Jianping, Yu Bailang. (2024). Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications. International Journal of Applied Earth Observation and Geoinformation, 126, 103626.

7、  Wang Congxiao, Chen Zuoqi, Yu Bailang, Wu Bin, Wei Ye, Yuan, Liu Shaoyang, Tu Yue, Li Yangguang, Wu Jianping. (2023). Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data. Computers Environment and Urban Systems, 107, 102056.

8、  Hong Yuchen, Wu Bin, Song Zhichao, Li Yangguang, Wu Qiusheng, Chen Zuoqi, Liu Shaoyang, Yang Chengshu, Wu Jianping, Yu Bailang. A monthly night-time light composite dataset of NOAA-20 in China: a multi-scale comparison with S-NPP. International Journal of Remote Sensing, 2021, 42(20): 7931-7951.

 

获得奖励: