高美玲 讲师

地质工程与测绘学院

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学位: 工学博士

毕业院校: 武汉大学

邮件: gaomeiling@chd.edu.cn

电话:

出生年月: 1993-09-09

办公地点: 地学科技大厦

个人资料

  • 学院: 地质工程与测绘学院
  • 性别:
  • 出生年月: 1993-09-09
  • 职称: 讲师
  • 学位: 工学博士
  • 学历: 博士研究生
  • 毕业院校: 武汉大学
  • 联系电话:
  • 电子邮箱: gaomeiling@chd.edu.cn
  • 通讯地址:
  • 邮编:
  • 传真:
  • 办公地址: 地学科技大厦
  • 教育经历:

    2010.09-2014.07 长安大学 地理信息科学 学士

    2014.09-2019.12 武汉大学 地图制图学与地理信息工程 博士

    2017.10-2018.10 美国国家大气研究中心 应用气象学 联合培养博士生

个人简介

社会职务

研究领域

多源数据融合

城市热环境研究

开授课程

本科生:

地理信息系统原理

地理信息科学导论

研究生:

《Principle and Method of Geographic Information System》

《遥感技术及地学应用》

科研项目

国家自然科学基金青年基金:关中平原城市群高时空分辨率地表温度模拟与分析,20211-202312月,主持

陕西省自然科学基础研究计划:西安市热环境缓解策略及其对城市热舒适度的影响研究,20211-202212月,主持

中央高校基本科研业务费资助专项项目:基于GEE的长时序近地表气温反演及时空变化监测,20211-202212月,主持


论文

[1] Meiling Gao, Huanfeng Shen*, Xujun Han, Huifang Li, and Liangpei Zhang. Multiple timescale analysis of the urban heat island effect based on the Community Land Model: a case study of the city of Xi’an, China[J]. Environmental monitoring and assessment, 2018, 190(1): 8. (SCI)

[2] Meiling Gao, Fei Chen, Huanfeng Shen*, Michael Barlage, Huifang Li, Zhenyu Tan, and Liangpei Zhang. Efficacy of Possible Strategies to Mitigate the Urban Heat Island Based on Urbanized High-Resolution Land Data Assimilation System (u-HRLDAS)[J]. Journal of the Meteorological Society of Japan, 2019, 97(6). (SCI)

[3] Meiling Gao, Fei Chen, Huanfeng Shen*,Huifang Li. A tale of two cities: different urban heat mitigation efficacy with the same strategies[J]. Theoretical and Applied Climatology, 2020: 1-16. (SCI)

[4] Meiling GaoZhenhong Li*,Zhenyu Tan, Huifang Li, Jianbing Peng. Use of Google Earth Engine to generate a 20-year 1 km×1 km monthly air temperature product over Yellow River Basin[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021.DOI:10.1109/JSTARS.2021.3116258.(SCI)

[5] Meiling Gao, Zhenhong Li, Zhenyu Tan, Qi Liu, and Huanfeng Shen*.Simulating the Response of the Surface Urban Heat Environment to Land Use and Land Cover Changes: A Case Study of Wuhan, China[J]. Remote Sensing, 2021: 13, no. 22: 4495. https://doi.org/10.3390/rs13224495.(SCI)

[6] Zhenyu Tan, Meiling Gao, Xinghua Li*,Liangcun Jiang. A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network, IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI: 10.1109/TGRS.2021.3050551.(SCI)

[7] Huifang Li, Yanan Li, Tao Wang, Zhihua Wang, Meiling Gao, Huanfeng Shen. Quantifying 3D Building Form Effects on Urban Land Surface Temperature and Modeling Seasonal Correlation Patterns[J], Building and Environment, 2021, https://doi.org/10.1016/j.buildenv.2021.108132.(SCI)

[8] Zhenyu Tan, Meiling Gao, Yuan Jun, Liangcun Jiang, Duanhong Tao*. A Robust Model for MODIS and Landsat Image Fusion Considering Input Noise [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, DOI: 10.1109/TGRS.2022.3145086.(SCI)

[9] Zhenyu Tan,Xinghua Li*, Meiling Gao, Liangcun Jiang. The Environmental Story During the COVID-19 Lockdown: How Human Activities Affect PM2.5 Concentration in China? IEEE Geoscience and Remote Sensing Letters, 2020, DOI: 10.1109/LGRS.2020.3040435.(SCI)

[10] Zhenyu Tan, Liping Di, Mingda Zhang, Liying Guo, and Meling Gao. An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion. Remote Sensing, 11(24):2898, 2019. (SCI)

[11] Meiling Gao, Fei Chen, Huanfeng Shen, Michael Barlage. Contrasting the Urban-heat Island Characteristics at Two Different Climate Zones: A Case Study of Xi'an and Wuhan City, China. 10th International Conference on Urban Climate/14th Symposium on the Urban Environment. 2018.

[12] Meiling Gao, Huanfeng Shen, Xujun Han, and Weijing Chen. Numerical simulation of diurnal variation of urban land surface temperature based on CLM4. 5. 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE, 2016: 183-187.

[13] Tao Wang, Huifang Li, Huanfeng Shen, Meiling Gao. Impact of urban spatial form on daytime land surface temperature: in communities of Wuhan. 2019 International Geoscience and Remote Sensing Symposium (IGRSS). IEEE, 2019: 7451-7454.


科技成果

荣誉奖励

工作经历