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教育经历 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 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 2021.09-至今,北京师范大学地理科学学部,教授 2016.11-2021.08,北京师范大学地理科学学部,副教授 2015.09-2016.10,北京师范大学地理学与遥感科学学院,副教授 2015.03-2015.08,北京师范大学地理学与遥感科学学院,讲师 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 2014-2016年合作开设《全球陆表遥感应用》研究生课程 2017年开始开设《农业遥感》研究生课程 2022年开始开设《城市遥感》本科生课程 科研项目 国家自然科学基金面上项目:多尺度时空一致的植被覆盖度遥感反演方法研究,2022.1-2025.12,项目负责人 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 国家自然科学基金重大项目:地表异常遥感探测与即时诊断方法,2022.1-2026.12,子课题负责人 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 重要奖项 2019年 仲英青年学者 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” 2020年北京师范大学优秀新生导师 2018年本科生优秀实习工作者 2017年度教育部高校辅导员培训和研修基地 “深度辅导先进个人”

研究领域

生态环境遥感、地理信息分析、植被遥感

近期论文

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Kun Jia, Linqing 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. Kun Jia, Jingcan Liu, Y. Tu, Q. Li, Z. Sun, X. Wei, Y. Yao, X. Zhang, Land use and land cover classification using Chinese GF-2 multispectral data in a region of the North China Plain, Frontiers of Earth Science, 2019, 13, 327-335. Kun Jia, Yuwei 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. 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. 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. 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. 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. Chen Zhulin, T. Shi, X. Zhang, Kun Jia*, H. Jiang, B. Yuan, A Hybrid Leaf Area Index Estimation Method of Dioscorea Polystachya Turczaninow Using Sentinel-2 Vegetation Indices,IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4415713. Chen Zhulin, Kun Jia*, X. Wei, Y. Liui, Y. Zhan, M. Xia, Y. Yao, X. Zhang, Improving leaf area index estimation accuracy of wheat by involving leaf chlorophyll content information, Computers and Electronics in Agriculture, 2022, 196, 106902. Li Jie, Kun Jia*, X. Wei, M. Xia, Z. Chen, Y. Yao, X. Zhang, H. Jiang, B. Yuan, G. Tao, L. Zhao, High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent, International Journal of Applied Earth Observation and Geoinformation, 2022, 108, 102743. Xia Mu, Kun Jia*, Reconstructing Missing Information of Remote Sensing Data Contaminated by Large and Thick Clouds Based on an Improved Multitemporal Dictionary Learning Method, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5605914. Tao Guofeng, Kun Jia*, X. Wei, M. Xia, B. Wang, X. Xie, B. Jiang, Y. Yao, X. Zhang, Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models, International Journal of Applied Earth Observations and Geoinformation, 2021, 101, 102362. Xia Mu, Kun Jia*, W. Zhao, S. Liu, X. Wei, B. Wang, Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau, Ecological Indicators, 2021, 123, 107274. Liu Duanyang, Kun Jia*, H. Jiang, M. Xia, G.Tao, B. Wang, Z. Chen, B. Yuan, J. Lie,Fractional vegetation cover estimation algorithm forFY-3B reflectance data based on random forest regression method, Remote Sensing, 2021, 13, 2165. Liu Duanyang, Kun Jia*, M. Xia, X. Wei, Y. Yao, X. Zhang, G. Tao, Fractional vegetation cover estimation algorithm based on recurrent neural network for MODIS 250 m reflectance data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 6532-6543. Li Jie, Kun Jia*, Y. Liu, B. Yuan, M. Xia, W. Zhao, Spatiotemporal distribution of Zika virus and its spatially heterogeneous relationship with the environment, International Journal of Environmental Research and Public Health, 2021, 18, 290. Wang Bing, Kun Jia*, X. Wei, M. Xia, Y. Yao, X. Zhang, D. Liu, G. Tao, Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods, ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 167, 214-229. Chen Zhulin, Kun Jia*, C. Xiao, D. Wei, X. Zhao, J. Lan, X. Wei, Y. Yao, B. Wang, Y. Sun, L. Wang, Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Di erent Feature Selection and Machine Learning Methods, Remote Sensing, 2020, 12, 2110 Tu Yixuan, Kun Jia*, X. Wei, Y. Yao, M. Xia, T. Zhang, B. Jiang, A time-efficient fractional vegetation cover estimation method using the dynamic vegetation growth information from time series GLASS FVC product, IEEE Geoscience and Remote Sensing Letters, 2020, 17(10), 1672-1676. Tu Yixuan, 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. Tao Guofeng, 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. Liu Duanyang, 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. Wang Bing, 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. Liu Duanyang, 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. Yang Linqing, 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. Wang Xiaoxia, 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. Yang Linqing, 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. Wang Xiaoxia, 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. Yang Linqing, 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. 李钰溦,贾坤*,魏香琴,姚云军,孙俊,牟丽秋,中国北方地区植被覆盖度遥感估算及其变化分析,国土资源遥感,2015, 27, 112-117. 江海英,贾坤,赵祥,魏香琴,王冰,姚云军,张晓通,江波.2020. 山地叶面积指数反演理论、方法与研究进展. 遥感学报,24(12):1433-1449

学术兼职

《遥感学报》编委 《草地学报》青年编委 Frontiers in Environmental Science 副主编 中国生态学学会生态遥感专业委员会委员 中国测绘学会深空探测遥感测绘工作委员会委员 中国遥感应用协会黄土高原遥感分会理事 中国空间科学学会空间地球科学专业委员会青年委员

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