J9九游会·(中国)真人游戏第一品牌

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副研究员/副教授

  • 姓名:宋金玲
  • 性别:
  • 专家类别:
  • 所属部门:
  • 职务:
  • 职称:副教授
  • 社会任职:
  • 电话:58805452
  • 传真:
  • 电子邮件:songjl@bnu.edu.cn
  • 个人网页:
  • 百人入选时间:
  • 杰青入选时间:
  • 通讯地址:北京市海淀区新街口外大街19号地理学与j9游会真人游戏第一品牌科学学院
  • 邮政编码:

    简历

  •   宋金玲,1978年生,博士,副教授,博士生导师。北京师范大学地理科学学部,主要从事j9游会真人游戏第一品牌模型和地表参数j9游会真人游戏第一品牌反演方面的研究。主持国家自然科学项目2项,先后参加国家973、863、科技支撑等多项科研项目,公开发表学术论文30余篇,担任多个国际j9游会真人游戏第一品牌学科刊物审稿人。

    研究方向

  • 植被参数反演和j9游会真人游戏第一品牌建模

    承担科研项目情况

  • 1. 基于多源数据和GORT模型的多尺度森林LAI垂直分布反演研究,国家自然科学基金面上项目,2019-2022.

    2. 基于多源数据的多时空尺度NDVI和FVC共性产品生成技术及变化分析,国家重点研发计划子课题, 2016-2021.

    3. 林地结构参数综合反演及LAI时间扩展方法研究,科技部973子课题, 2012.1-2017.12.

    4. 融合光学和激光雷达数据反演林地冠层叶面积指数的算法研究,学校自主科研基金项目.2010-2011.

    5. 《第一次全国水利普查水土保持情况普查全国土壤侵蚀影响因子计算分析与制图第I标段—水力侵蚀因子计算分析与制图》中时间序列NDVI数据生成工作,2010-2012.

    6. 融合多源j9游会真人游戏第一品牌数据反演林冠层结构参数的方法研究,国家j9游会真人游戏第一品牌重点j9游会真人游戏第一品牌青年人才专项,2009-2010.

    7. 国家自然科学基金项目:多尺度植被冠层辐射度模型研究及其在地表参数反演中的应用,2008-2010.

    8. 基于多模型的地表参数混合反演方法,科技部973子课题,执行时间,2007-2011.

    获奖及荣誉

    代表性成果

  • 1. Qian Luo,Jinling Song*,Lei Yang,Jindi Wang, Improved Spring Vegetation Phenology Calculation Method Using a Coupled Model and Anomalous Point Detection, Remote Sens,2019,11,1432, doi:10.3390/rs11121432.

    2. Zhu Xiao,Jinling Song*,Retrieval of leaf area index from airborne waveform LiDAR data based on GORT model, IGARSS 2019 .

    3. Qiaoli Wu, Conghe Song, Jinling Song*, Jindi Wang,Impacts of Leaf Age on Canopy Spectral SignatureVariation in Evergreen Chinese Fir Forests, remote sensing, 2018,10, 262, doi:10.3390/rs10020262.

    4. Limin Liao; Jinling Song* ; Jindi Wang; Zhiqiang Xiao, (*) Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI, remote sensing, 2016.5.27, 8(6): 1~23

    5. Congrong Li; Jinling Song* ; Jindi Wang, (*) Modifying Geometric-Optical Bidirectional Reflectance Model for Direct Inversion of Forest Canopy Leaf Area Index, Remote Sensing, 2015.8.28, 7: 11083~11104

    6. Han Ma, Jinling Song*, Jindi Wang, Forest Canopy LAI and Vertical FAVD Profile Inversion from Airborne Full-Waveform LiDAR Data Based on a Radiative Transfer Model, Remote Sens. 2015, 7, 1897-1914; doi:10.3390/rs70201897.

    7. Han Ma, Jinling Song*, Jindi Wang, Improvement of forest LAI retrieval using the extrapolated LiDAR canopy height from MODIS data, Agriculture and forest meteorology, 10.1016/j.agrformet.2014.01.009

    8. Qiaoli Wu, Jinling Song*, Jindi Wang, Zhiqiang Xiao,Forest canopy growth dynamic modeling based on remote sensing products and meteorological data in Daxing’anling of northeast China,SPIE Asia Pacific Remote Sensing 2014.

    9. Han Ma, Jinling Song*, Jindi Wang, Retrieval of forest canopy LAI directly from airborne full-waveform LiDAR data, IEEE International Geoscience and Remote Sensing Symposium,2013.

    10. Jingyi Jiang,Jinling Song, Jindi Wang, Combine MODIS and HJ-1 CCD NDVI with logistic model to generate high spatial and temporal resolution NDVI data,Proceedings of SPIE, 2012.

    11. Han Ma, Jinling Song, Jindi Wang, Hua Yang,Comparing of the extrapolated forest canopy height in larger area by intergeration of LiDAR data and different optical remote sensing products,IEEE International Geoscience and Remote Sensing Symposium,2012.

    12. Cai Wenwen, Song Jinling, Wang Jindi, Xiao Zhiqiang,High spatial-and temporal-resolution NDVI produced by the assimilation of MODIS and HJ-1 data,Canadian Journal of Remote Sensing,Vol. 37, No. 6, pp. 1_16, 2011

    13. Song Jinling, Wang Jindi, Cai Wenwen, Jiang Jingyi, Fusing ASTER data and MODIS LAI product to generate high spatial and temporal resolution LAI data in Heihe River Basin, SPIE Optics + Photonics: Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 2011.

    14. 马晗,宋金玲,王锦地,付卓,融合激光雷达和多角度j9游会真人游戏第一品牌数据反演山地林区叶面积指数,海峡两岸j9游会真人游戏第一品牌会议,2011.

    15. Zhuo Fu, Jin D. Wang, Jin L. Song, Hong M. Zhou, Bai S. Chen, Yong Pang, 2011, Forest canopy Leaf Area Index Estimation using MODIS, MISR and LiDAR observations, Journal of Applied Remote Sensing,Vol.5(053530-1-21).

    16. Cai Wenwen, Song Jinling, Wang Jindi, Xiao Zhiqian,Assimilation MODIS and HJ-1 Reflectance Images To Produce NDVI of High Spatial and Temporal Resolution, The 6th International Conference on Wireless Communications, Networking and Mobile Computing(Wicom 2010), 2010.

    17. 宋金玲, 王锦地, 帅艳民, 肖志强, 像元尺度林地冠层二向反射特性的模拟研究, 光谱学与光谱分析, 29(08), pp 2141-2147,2009.

    18. Song Jinling, Wang Jindi, Xiao Zhiqiang, Xiao Yuetiing ,THE METHOD ON GENERATING LAI PRODUCTION BY FUSING BJ-1 REMOTE SENSING DATA AND MODIS LAI PRODUCT, IEEE International Geoscience and Remote Sensing Symposium, pp 3205-3208, 2009 .

    19. Song Jinling, Wang Jindi, Canopy BRF Computer Simulation of Summer Corn for different underlying surfaces in different growth period, the 6th International Symposium on Digital Earth(ISDE), 2009/9/3.

    20. Fu, Zhuo, Wang, Jindi, Song, Jinling, Zhou, Hongmin, Huang, Huaguo, Comparison of three indirect field measuring methods for forest canopy leaf area index estimation, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, pp IV1011-IV1014, 2009.

    21. Fu, Zhuo, Wang, Jindi, Song, Jinling, Zhou, Hongmin, Pang, Yong, Cai, Wenwen, Forest canopy structural parameters and Leaf Area Index retrieval using multi-sensors synergy observations, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 2009.

    22. Song, Jinling, Qu, Yonghua, Wang, Jindi, Wan, Huawei, Liu, Xiaoqing, Canopy BRF simulation of forest with different crown shape and height in larger scale based on Radiosity method, Geoinformatics 2007: Remotely Sensed Data and Information, 2007/5/25.

    23. Song Jinling, Wang Jindi, Liu Xiaoqing. Computer Simulations of Differing Radiation Regimes on Aspen Trees, Journal of Remote Sensing, Vol.11(5), pp 669-676, 2007.

    24. Song Jinling, Wang Jindi, Liu Xiaoqing, Computer Simulation and Validation of BRF Data of Vegetation Canopy, Journal of Remote Sensing, 11(02), pp 228-234, 2007.

    25. Song, JL, Wang, JD, Wan, HW, Xie, DH , Validation of BRF data based on computer simulation model, 25th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2005), pp 3063-3066, 2005.

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