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高博

时间:2021-06-17



个人概况

                                        姓 名:高博                   性 别:男                                                                 

高博.png

学    历:博士研究生  政治面貌:中共党员

毕业院校:中国科学院遥感与       专 业:地图学与地理信息系统

数字地球研究所  

电子邮件:gaobo@cnu.edu.cn     职 称:副教授(硕导)

通信地址:北京市海淀区西三环北路105号,首都师范大学




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研究方向

面向京津冀的遥感辐射传输机理研究与遥感数据融合技术研究

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教育/工作背景

2021.1~今  正规网投平台排行榜/地信国际学院  副教授

2016.9~2020.12 正规网投平台排行榜/地信国际学院  讲师

2014.9~2016.9 首都师范大学水资源安全北京实验室 博士后

2010.9~2014.6 中国科学院遥感与数字地球研究所 博士

2007.9~2009.6 武汉大学遥感信息工程学院 硕士

2003.9~2007.6 郑州大学环境与水利学院 学士

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专业方向

本人在首都师范大学水资源安全北京实验室工作期间,主要面向京津冀水资源安全开展研究,主持多项国家级、省部级课题(国家自然科学青年基金1项,中国博士后面上基金1项,北京市博士后工作资助1项);同时参与多项国家级、省部级等类型项目。

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部分已发表文章

1. B. Gao, HL. Gong, et al. “Reconstruction of Spatiotemporally Continuous MODIS-Band Reflectance in East and South Asia from 2012 to 2015”. Remote Sensing, 2020, 12: 3674

2. B. Gao, HL. Gong, et al. “Reconstruction of MODIS Spectral Reflectance under Cloudy-Sky Condition”. Remote Sensing, 2016, 8(9): 727

3. B. Gao, HL. Gong, et al. “A Method for Retrieving Daily Land Surface Albedo from Space at 30-m Resolution”. Remote Sensing, 2015, 7(8): 10951-10972

4. B. Gao, L. Jia, et al. “Derivation of Land Surface Albedo at High Resolution by Combining HJ-1A/B Reflectance Observations with MODIS BRDF Products”. Remote Sensing, 2014, 6(9): 8966-8985

5. B. Gao, L. Jia, et al. “An Improved Method For Retrieving Land Surface Albedo Over Rugged Terrain”. IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 554-558

6. B. Gao, HL. Gong, et al. “A Method for Retrieving Shortwave Narrowband Reflectance at Cloudy Pixel Considering Spatial Heterogeneity”. IEEE International Geosciences and Remote Sensing Symposium, 2016, Beijing, China

7. B. Gao, L. Jia, M. Menenti, 2012, The retrieval of land surface albedo in rugged terrain. In: The Second International Workshop on Earth Observation and Remote Sensing Applications, Shanghai, China, 8-11 June 2012, pp. 41-45

8. B. Gao, L. Jia, et al. “An improved Bidirectional Reflectance Distribution Function (BRDF) over rugged terrain based on moderate spatial resolution remote sensing data”. IEEE International Geosciences and Remote Sensing Symposium, Melbourne, Australia, 21-26 July 2013, pp.2466-2469

9. P. Guo, JC. Shi, B. Gao. “Evaluation of Errors Induced by Soil Dielectric Models for Soil Moisture Retrieval at L-Band”. IEEE International Geosciences and Remote Sensing Symposium, 2016, Beijing, China

10. Chen, Hanyue, Zheng Niu, B. Gao, and Wenjing Huang. “Estimation of planted forest leaf area index from TM imagery using the algorithm based on geometric-optical model”. The Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012), Shanghai, China, 8-11 June 2012,pp. 230-234