柴琳娜
柴琳娜,女,1980年生,博士,北京师范大学讲师,硕士生导师。主要从事被动微波遥感的理论和应用研究。主持国家自然科学面上基金1项,先后参加国家973、863、国家自然科学重点基金等多项科研项目,公开发表学术论文30余篇,担任多个国际遥感学科刊物审稿人。
 
研究方向:植被、冻土
讲授课程:本科生《微波遥感》、研究生《微波遥感》
办 公 室:生地楼660
邮    箱:chai@bnu.edu.cn
工作经历
2010.8至今,北京师范大学,地理学与遥感科学学院,讲师
2009.6 - 2010.1,美国加州大学圣巴巴拉分校,计算地球系统科学研究所,访问学者
2002.7 - 2005.6,武汉工程大学,网络信息中心,助理工程师
教育经历
2005.9 - 2010.7,北京师范大学,地理学与遥感科学学院,地图学与地理信息系统,获理学博士
1998.9 - 2002.6,武汉理工大学,计算机科学与技术学院,计算机技术及应用,获工学学士
主要研究项目:
[1]973项目“复杂地表遥感信息动态分析与建模”第六课题“土壤-植被水热参数多模式遥感协同反演与动态分析”子课题“被动微波植被含水量反演算法及地表冻融过程相变水量空间分辨率提升研究”,2013.01 – 2017.08
[2]国家自然科学基金面上项目“植被微波辐射模型参数化研究”,负责人,2012.01 - 2015.12
[3]国家自然科学基金重点项目“黑河流域生态-水文过程综合遥感观测试验:定标与真实性检验”子课题“地基微波辐射特征观测与地表冻融真实性检验”,2012.01 - 2015,12
[4]国家自然科学基金重点项目“复杂地表冻融过程被动微波遥感机理研究”子课题“植被覆盖冻结地表微波辐射研究”, 2011.01 - 2014,12
代表性论文:
SCI
[1]Linna Chai, Lixin Zhang, Xiaoran Lv, Zhenguo Hao, Shuzhen Liu, An investigation into the feasibility of using passive microwave technique to monitor the soil freeze/thaw erosion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2014.2348652. (online: 2014-09-05)
[2]Linna Chai, Lixin Zhang, Yuanyuan Zhang, Zhenguo Hao, Lingmei Jiang, Shaojie Zhao, Comparison of the classification accuracy of three soil freeze/thaw discrimination algorithms in China using SSMIS and AMSR-E passive microwave imagery. International Journal of Remote Sensing, 35(22), 7631-7649, 2014.
[3]Linna Chai, Yonghua Qu, Lixin Zhang, Shunlin Liang, Jindi Wang, Estimating time-series leaf area index based on recurrent nonlinear autoregressive neural networks with exogenous inputs, International Journal of Remote Sensing, 33(8), 5712-5731, 2012.
[4]Tao Zhang, Lingmei Jiang, Linna Chai, Tianjie Zhao, Qi Wang. Estimating mixed-pixel component soil moisture contents using biangular observations from the HiWATER airborne passive microwave data, IEEE Geoscience and Remote Sensing Letters, 12(5), 1146-1150, 2015.
EI
[1]Linna Chai, Lixin Zhang, Zhenguo Hao, Lingmei Jiang, Shaojie Zhao, Xiaokang Kou, A new method to determine the freeze-thaw erosion, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 747-750, 2013.
[2]Linna Chai, Jiancheng Shi, Lixin Zhang, Tom Jackson, Refinement of microwave vegetation indices, Remote Sensing and Modeling of Ecosystems for Sustainability VII, Proc. of SPIE, 7809, 780904, 2010.
[3]Linna Chai, Jiancheng Shi, Lixin Zhang, Lingmei Jiang, A parameterized microwave model for short vegetation layer, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 3023-3026, 2010.
[4]Linna Chai, J. Shi, J. Du, J.Tao, T. Jackson, P.E.O'neill,L. Zhang, Y. Qu, J. Wang, A study on estimation of aboveground wet biomass based on the microwave vegetation indices, Proc. of IEEE International Geoscience and Remote Sensing Symposium, III, 924-927, 2009.
[5]Linna Chai, Yonghua Qu, Lixin Zhang, Jindi Wang, LAI retrieval from cyclopes and modis products using artificial neural networks, IGARSS, III, 1064-1067, 2008.
[6]Linna Chai, Lixin Zhang, Guihua Yu, Yonghua Qu, Keping Du, Workflow-based system design for the online inspection of spatial data, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, Proc. of SPIE, 7146, 71460G, 2008.
[7]Qi Wang, Linna Chai, Shaojie Zhao, Tao Zhang, An inversion method to estimate the wheat water content based on vegetation optical depth, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 4291-4294, 2014.
[8]Qi Wang, Linna Chai, Estimating Vegetation Optical Depth Using L-band Multi-angle Passive Microwave Airborne Data in HiWATER, Proc. of SPIE Asia Pacific Remote Sensing, vol. 9260, 92602X, 2014.
[9]Qinyu Ye, Linna Chai, Lingmei Jiang, Shaojie Zhao, A downscaling approach of phase transition water content using AMSR2 and MODIS products, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 3323-3326, 2014.
[10]Qinyu Ye, Linna Chai, A new algorithm for phase transition water content retrieval during soil freeze-thaw process using microwave radiometer, Proc. of SPIE Asia Pacific Remote Sensing, vol. 9260, 92600R, 2014.
[11]Xiaokang Kou, Linna Chai, Lingmei Jiang, Shaojie Zhao, Fengmin Wu, A new dielectric model for vegtation in frozen environment - part I: modeling section, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 4042-4045, 2013.
[12]Fengmin Wu, Linna Chai, Lixin Zhang, Shaojie Zhao, Xiaokang Kou, Juntao Yang, A new dielectric model for vegetation in frozen environment - part II: validation section, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 1364-1367, 2013.
[13]Fengmin Wu, Linna Chai, Lixin Zhang, Lingmei Jiang, Juntao Yang, Retrieval of single scattering albedo of winter wheat in north China plain based on AMSR-E data, Proc. of IEEE International Geoscience and Remote Sensing Symposium, 6487-6490, 2012.
中文核心
[1]柴琳娜, 吴凤敏, 张立新, 施建成, 基于AMSR-E数据反演华北平原冬小麦单散射反照率, 遥感学报. 19(1), 153-171, 2015.
[2]柴琳娜, 张立新, 施建成, 吴凤敏, 棉花和大豆等效散射反照率估算, 遥感学报, 17(1), 17-33, 2013.
[3]柴琳娜, 屈永华, 张立新, 梁顺林, 王锦地, 基于自回归神经网络的时间序列叶面积指数估算, 地球科学进展, 24(7), 756-768, 2009.
[4]王琦, 柴琳娜, 赵少杰, 张涛, 基于多角度微波辐射亮温数据反演冬小麦光学厚度, 遥感技术与应用(待刊)
[5]叶勤玉, 柴琳娜, 蒋玲梅, 赵天杰. 基于AMSR2和MODIS数据的土壤冻融相变水量降尺度方法, 遥感学报, 18(06), 1147-1157, 2014.
[6]寇晓康, 柴琳娜, 赵少杰, 吴凤敏, 植被的微波介电常数研究进展, 北京师范大学学报(自然科学版), 49(6), 619-625, 2013.
[7]张立新, 蒋玲梅, 柴琳娜, 赵少杰, 赵天杰, 李欣欣, 地表冻融过程被动微波遥感机理研究进展, 地球科学进展, 26(10), 1023-1029, 2011.