个人信息简介 姓名：贾坤
学历：博士
职称：副教授
电话：
邮箱：jiakun@bnu.edu.cn

研究方向与招生

主要研究方向：植被遥感监测、土地覆盖遥感分类、农业遥感、生态遥感
招收博士生和硕士生

教育经历
[1]. 2006.09-2011.07，中国科学院遥感应用研究所地图学与地理信息系统专业，博士学位，导师：吴炳方研究员、李强子研究员。
[2]. 2002.09-2006.07，中南大学信息物理工程学院测绘工程专业，学士学位。

工作经历
[1]. 2016.11-今，北京师范大学地理科学学部，副教授；
[2]. 2015.09-2016.10，北京师范大学地理学与遥感科学学院，副教授；
[3]. 2015.03-2015.08，北京师范大学地理学与遥感科学学院，讲师；
[4]. 2011.08-2015.02，北京师范大学全球变化与地球系统科学研究院，讲师。

承担课程
[1]. 2014-2016年与赵祥和姚云军老师合开《全球陆表遥感应用》研究生课程
[2]. 2017年开始开设《农业遥感》研究生课程

科研项目
国家自然科学基金面上项目：耦合辐射传输模型与植被生长模型的植被覆盖度遥感反演方法研究，2017.1-2020.12，项目负责人；
国家自然科学基金青年项目：基于机器学习和融合算法的全球陆表植被覆盖度遥感估算方法研究，2014.1-2016.12，项目负责人；
国家科技部863项目第一课题子课题：全球变化特征参量数据产品生成技术-GLASS植被覆盖度产品算法，2014.1-2016.12，子课题负责人；
国家自然科学基金重点项目：基于集群式算法的陆表遥感反演模型，2014.1-2017.12，子课题负责人；
国家重点研发计划：全球气候数据集生产及气候变化关键过程和要素监测，2016.7-2021.6，骨干。

著作论文
[1] Kun Jia, L. Yang, S. Liang, Z. Xiao, X. Zhao, Y. Yao, X. Zhang, B. Jiang, D. Liu, Long Term Global Land Surface Satellite Fractional Vegetation Cover Product Derived from MODIS and AVHRR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(2), 508-518.
[2]Kun Jia, Y. Li, S. Liang, X. Wei and Y. Yao, Combining Estimation of Green Vegetation Fraction in an Arid Region from Landsat 7 ETM+ Data, Remote Sensing, 2017, 9(11), 1121.
[3]Kun Jia, S. Liang, X. Gu, F. Baret, X. Wei, X. Wang, Y. Yao, L. Yang, Y. Li, Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data, Remote Sensing of Environment, 2016, 177, 184-191.
[4]Kun Jia, S. Liang, S. Liu, Y. Li, Z. Xiao, Y. Yao, B. Jiang, X. Zhao, X. Wang, S. Xu, J. Cui, Global land surface fractional vegetation cover estimation using general regression neural networks from MODIS surface reflectance, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(9), 4787-4796.
[5]Kun Jia, S. Liang, X. Wei, Q. Li, X. Du, B. Jiang, Y. Yao, X. Zhao, Y. Li, Fractional forest cover changes in Northeast China from 1982 to 2011 and its relationship with climatic variations, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8, 775-783.
[6]Kun Jia, S. Liang, N. Zhang, X. Wei, X.F. Gu, X., Zhao, Y. Yao, X. Xie, Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93, 49-55.
[7] Tu Y., Kun Jia*, S. Liang, X. Wei, Y. Yao, X. Zhang,Fractional vegetation cover estimation in heterogeneous areas by combining a radiative transfer model and a dynamic vegetation model, International Journal of Digital Earth, 2020, 13, 487-503.
[8]Tao G., Kun Jia*, X. Zhao, X. Wei, X. Xie, X. Zhang, B. Wang, Y. Yao, X. Zhang, Generating High Spatio-Temporal Resolution Fractional Vegetation Cover by Fusing GF-1 WFV and MODIS Data, Remote Sensing, 2019, 11, 2324.
[9]Liu D., Kun Jia*, X. Wei, M. Xia, X. Zhang, Y. Yao, X. Zhang, B. Wang, Spatiotemporal Comparison and Validation of Three Global-Scale Fractional Vegetation Cover Products, Remote Sensing, 2019, 11, 2524.
[10]Wang B., Kun Jia*, S. Liang, X. Xie, X. Wei, X. Zhao, Y. Yao, X. Zhang, Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover, Remote Sensing, 2018, 10, 1927.
[11]Liu D., L. Yang, Kun Jia*, S. Liang, Z. Xiao, X. Wei, Y. Yao, M. Xia, Y. Li, Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods, Remote Sensing, 2018, 10, 1648.
[12]Yang L., Kun Jia*, S. Liang, M. Liu, X. Wei, Y. Yao, X. Zhang, D. Liu, Spatio-Temporal Analysis and Uncertainty of Fractional Vegetation Cover Change over Northern China during 2001–2012 Based on Multiple Vegetation Data Sets, Remote Sensing, 2018, 10, 549.
[13]Wang X., Kun Jia*, S. Liang, Q. Li, X. Wei, Y. Yao, X. Zhang, Y. Tu, Estimating Fractional Vegetation Cover From Landsat-7 ETM+ Reflectance Data Based on a Coupled Radiative Transfer and Crop Growth Model, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10), 5539-5546.
[14]Yang L., Kun Jia*, S. Liang, X. Wei, Y. Yao, X. Zhang, A robust algorithm for estimating surface fractional Vegetation cover from Landsat data, Remote Sensing, 2017, 9(8), 857.
[15]Wang X., Kun Jia*, S. Liang, Y. Zhang, Fractional vegetation cover estimation method through dynamic Bayesian network combining radiative transfer model and crop growth model, IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12), 7442-7450.
[16]Yang L., Kun Jia*, S. Liang, J. Liu, X. Wang, Comparison of four machine learning methods for generating the GLASS fractional vegetation cover product from MODIS data, Remote Sensing, 2016, 8(8), 682.

重要奖项
2017年 李小文遥感科学青年奖
2016年4月获科技部国家遥感中心2016年度遥感青年科技人才创新资助计划资助
2013和2014年获得北京师范大学“京师英才”奖
2011年12月获得“2011年度中国科学院院长优秀奖”

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