职  称:教授
研究方向:植被高光谱遥感
办公电话:0431-85098715
办公地点:地理楼316
电子邮件:lus123@nenu.edu.cn

个人简历

东北师范大学,地理科学学院,教授。 个人主页:http://js.nenu.edu.cn/teacher/index.php?zgh=2008900027 教育经历: 2004-2007 PhD 日本东京大学 生物环境工学 2003-2004 Research Student 日本东京大学 生物环境工学 1999-2002 MSc 东北师范大学 自然地理 1995-1999 BA 东北师范大学 地理教育 工作经历: 2016至今 东北师范大学 地理科学学院 教授、博士导 2008-2016 东北师范大学 地理科学学院 副教授 2007-2008 博士后 日本农业环境技术研究所 联系方式: E-mail:lus123@nenu.edu.cn Tel: 0431-85098715(Office) 地址: 长春市人民大街5268号 东北师范大学 地理科学学院 地理信息科学系 5268 Renmin Street, Department of Geographic Information Science, School of Geographical Sciences, Northeast Normal University. 研究经历与主要研究方向: 多年来从事高光谱遥感影像分类、植被参量遥感反演和估算的相关研究。主要的研究兴趣是植被反射光谱特性、植被生化物质含量的遥感估算、植被指数的开发等。 已发表论文: (1) M. Liu, Z. Sun*, Shan Lu*, K. Omasa. Combining Multiangular, Polarimetric, and Hyperspectral Measurements to Estimate Leaf Nitrogen Concentration from Different Plant Species. IEEE Transactions on Geoscience and Remote Sensing, 2021 accepted. (2) X. Li, Z. Sun*, Shan Lu*, K. Omasa. A multi-angular invariant spectral index for the estimation of leaf water content across a wide range of plant species in different growth stages. Remote Sensing of Environment, 2021(253) 112230 (3) Y. Li, Z. Sun*, Shan Lu*, K. Omasa. Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020(13) 3669-3682 (4) Z. Wang, Z. Sun*, Shan Lu*. Optimal vegetation index for assessing leaf water potential using reflectance factors from the adaxial and abaxial surfaces. Computers and Electronics in Agriculture 2020(172), 105337 (5) C. Yao, Shan Lu*, Z. Sun*. Estimation of leaf chlorophyll content with polarization measurements: Degree of linear polarization. Journal of Quantitative Spectroscopy & Radiative Transfer 2020(242), 106787 (6) W. Li, Z. Sun*, Shan Lu*, K. Omasa. Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor. Plant, Cell & Environment 2019, 42(11), 3152-3165 (7) F. Lu, Z. Bu. Shan Lu*. Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance. Sensors 2019, 19194059 (8) X. Gao, Shan Lu*. 植物叶片润湿性与光谱反射偏振度关系研究,SPECTROSC SPECT ANAL,2018, 38(3),923-928 (9) Shan Lu, F. Lu, W. You, Z. Wang, Y. Liu, K. Omasa*. A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons. Plant Methods 2018, 14(15), 1-15 (10) W. You, Z. Wang, F. Lu, Y. Zhao, Shan Lu*, Spectral Indices to Assess Carotenoid/Chlorophyll Ratio From Adaxial and Abaxial Leaf Reflectance. Spectroscopy Letters. 2017 (50) 387-393 (11) Y. Liu, Y. Zhao, H. Liu, Shan Lu*. Analysis on impact factors of thermal polarized radiation characteristics of the soil. Spectroscopy and Spectral Analysis, 2016 (6) 1813-1817. (12) Shan Lu, X. Lu, W. Zhao, Y. Liu, Z. Wang, K. Omasa*. Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces. Journal of Experimental Botany 2015 (66), 5625–5637 (13) X. Lu, Shan Lu* Effects of adaxial and abaxial surface on the estimation of leaf chlorophyll content using hyperspectral vegetation indices. International Journal of Remote sensing 2015 (36), 1447-1469 (14) Shan Lu, S. Inoue*, H. Shibaike, S. Kawashima, S. Yonemura, M. Du. Detection potential of maize pollen release stage by using vegetation indices and red edge obtained from canopy reflectance in visible and NIR region. Journal of Agricultural Meteorology 2015 (71), 153-160 (15) Z. Sun, Y. Lv, Shan Lu*. An assessment of the bidirectional reflectance models basing on laboratory experiment of natural particulate surfaces. Journal of Quantitative Spectroscopy & Radiative Transfer 2015 (136), 102-119 (16) T. Yang,W. Zhao,Z. Wang,X, Lu,Shan Lu* Changes of Cropping System in China Based on Remotely Sensed NDVI data. Scientia Agricultura Sinica 2015,(48),1915-1925 (17) H. Ge,Shan Lu* Y. Zhao. Effects of leaf hair on leaf reflectance and hyperspectral vegetation indices. Spectroscopy and Spectral Analysis, 2012 (32) 439-444. (18) Shan Lu, Y. Shimizu, J. Ishii, I. Washitani, K. Omasa* Identification of invasive vegetation using hyperspectral imagery in the shore of the Kinu River, Japan. Journal of Agricultural Meteorology. 2011 (67) 85-88 (19) Shan Lu, Y. Shimizu, J. Ishii, S. Funakoshi, I. Washitani, K. Omasa*. Estimation of abundance and distribution of moist tall grasses from hyperspectral imagery in Watarase wetland, Japan. ISPRS Journal of Photogrammetry and Remote Sensing. 2009(64)674-682 (20) J. Ishii*, Shan Lu, Y. Shimizu, S. Funakoshi, I. Washitani, K. Omasa. Mapping potential habitats of threatened plant species in a moist tall grassland using hyperspectral imagery. Biodiversity and conservation. 2009(18)2521-2535. (21) Shan Lu, K. Oki, Y. Shimizu and K. Omasa*. Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data. International Journal of Remote sensing. 2007(28): 963-984 (22) Shan Lu, S. Funakoshi, Y. Shimizu, J. Ishii, A.M. de Asis, M. Ajima, I. Washitani and K. Omasa*. Estimation of plant abundance and distribution of Miscanthus sacchariflorus and Phragmites australis using matched filtering of hyperspectral image. Eco-Engineering. 2006 (18):65-70. (23) K. Oki*, Shan Lu, T. Saruwatari, T. Suhama and K. Omasa. Evaluation of supervised classification algorithms for identifying crops using airborne-hyperspectral data. International Journal of Remote Sensing. 2006 (10):1993-2002. 承担的科研项目: 1. 国家自然科学基金面上项目, 41971290, 基于多角度偏振遥感信息估算植被生物物理化学参数研究,2020-01-2023-12, 61万元, 在研,主持 2.吉林省科技厅,20180101313JC,异面叶植物水分状况的高光谱遥感估算, 2018/0 1-2020/12,12.0万元,已结题,主持。 3. 吉林省教育厅,【2014】B038, 叶片茸毛对利用高光谱指数进行生化物质含量反 演的影响,2014/01-2016/12,5.0万元,已结题,主持。 4. 国家自然科学基金国际合作项目,41210304039,基于和谐东亚的地理学合作与发 展国际学术研讨会,2012/06-2012/12,4.0万元,已结题,主持。 5. 国家自然科学基金青年项目,41001258,高光谱遥感反演植物生化物质含量的叶片 结构依存性研究,2011/01-2013/12,18.0万元,已结题,主持。 6. 教育部留学回国人员科研启动基金,遥感技术用于积雪监测,2010/09 - 2013/08 ,4.0万元,已结题,主持。

社会兼职

  • 吉林省遥感协会副理事长
  • “Remote Sensing” 客座编辑
  • “Sensors”客座编辑

获奖情况 (数据来源:科学技术处、社会科学处)

教学信息

  • 本科课程:
        遥感概论
        遥感数字图像处理
    
    研究生课程:
        遥感与GIS应用
        遥感地学模型

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. 基于多角度偏振遥感信息估算植被生物物理化学参数研究,2019年
  • 2. 异面叶植物水分状况的高光谱遥感估算,2018年
  • 3. 吉林省国土资源厅全省耕地质量等级评定汇总,2017年
  • 4. 吉林省建设用地强度控制指标测算更新,2017年
  • 5. 长春长江路经济开发区土地集约利用更新评价,2017年
  • 6. 叶片茸毛对利用高光谱指数进行生化物质含量反演的影响,2015年
  • 7. 基于和谐东亚的地理学合作与发展国际学术研讨会,国家自然科学基金委员会,2012年
  • 8. 高光谱遥感反演植物生化物质含量的叶片结构依存性研究,国家自然科学基金委员会,2010年
  • 9. 遥感技术用于积雪监测,教育部,2010年
  • 论文:
  • 1. A multi-angular invariant spectral index for the estimation of leaf water content across a wide range of plant species in different growth stages,REMOTE SENS ENVIRON,2021年
  • 2. Improvement of Leaf Chlorophyll Content Estimation Using Spectral Indices From Nonpolarized Reflectance Factor in the Laboratory and Field,IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020年
  • 3. Optimal vegetation index for assessing leaf water potential using reflectance factors from the adaxial and abaxial surfaces,COMPUT ELECTRON AGR,2020年
  • 4. Estimation of leaf chlorophyll content with polarization measurements: Degree of linear polarization,J QUANT SPECTROSC RA,2020年
  • 5. Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor,PLANT CELL ENVIRON,2019年
  • 6. Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance,SENSORS,2019年
  • 7. Optical properties of reflected light from leaves: a case study from one species,IEEE T GEOSCI REMOTE,2019年
  • 8. Classification of Urban Hyperspectral Remote Sensing Imagery Based on Optimized Spectral Angle Mapping,JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,2019年
  • 9. 偏振反射信息在植被遥感双向反射研究中的作用,遥感学报 ,2018年
  • 10. 利用叶片正反面反射光谱估算叶绿素含量,SPECTROSC SPECT ANAL,2018年
  • 11. 植物叶片润湿性与光谱反射偏振度关系研究,SPECTROSC SPECT ANAL,2018年
  • 12. A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons,PLANT METHODS,2018年
  • 13. Spectral indices to assess the carotenoid/chlorophyll ratio from adaxial and abaxial leaf reflectance,SPECTROSC LETT,2017年
  • 14. 影响土壤偏振亮度温度的因子分析,SPECTROSC SPECT ANAL,2016年
  • 15. Detection potential of maize pollen release stage by using vegetation indices and red edge obtained from canopy reflectance in visible and NIR region,Journal of Agricultural Meteorology,2015年
  • 16. Comparing vegetation indices for remote chlorophyll measurement of white poplar and Chinese elm leaves with different adaxial and abaxial surfaces,J EXP BOT,2015年
  • 17. An assessment of the bidirectional reflectance models basing on laboratory experiment of natural particulate surfaces,J QUANT SPECTROSC RA,2015年
  • 18. 基于遥感影像NDVI数据的中国种植制度分布变化,中国农业科学,2015年
  • 19. Effects of adaxial and abaxial surface on the estimation of leaf chlorophyll content using hyperspectral vegetation indices,INT J REMOTE SENS,2015年
  • 20. Enhance Photoelectrochemical Water Splitting on Hematite Thin Film with Layer-by-Layer Deposited Ultrathin TiO2 Underlayer,INT J HYDROGEN ENERG,2014年
  • 21. Photoelectrochemical Water Splitting with Rutile TiO2 Nanowires Array: Synergistic Effect of Hydrogen Treatment and Surface Modification with Anatase Nanoparticles,ELECTROCHIM ACTA,2014年
  • 22. A Highly Efficient White Light (Sr3,Ca,Ba)(PO4)3Cl:Eu2+, Tb3+, Mn2+ Phosphor Via Dual Energy Transfers for White Light-Emitting Diodes,INORG CHEM,2014年
  • 23. Eu2+, Tb3+, Mn2+ Triactivated Ba3MgSi2O8 Red-Emitting Phosphors for Near Ultraviolet Lighting Emitting Diodes,ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY,2013年
  • 24. Color tuning of (K1-x,Nax)SrPO4:0.005Eu2+, yTb3+ blue-emitting phosphors via crystal field modulation and energy transfer,JOURNAL OF MATERIALS CHEMISTRY C,2013年
  • 25. Effects of leaf surface wax on leaf spectrum and hyperspectral vegetation indices,Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International,2013年
  • 26. Detection of invasive plant with hyperspectral imagery in the riverbed of Kinu River, Japan,International Geoscience and Remote Sensing Symposium (IGARSS),2012年
  • 27. 叶片茸毛对叶片反射光谱及高光谱植被指数的影响研究,SPECTROSC SPECT ANAL,2012年
  • 28. Identification of invasive vegetation using hyperspectral imagery in the shore of the Kinu River,Japan,Journal of Agricultural Meteorology ,2011年
  • 29. Detection of maize pollen release with hyperspectral band ratio,The International Conference on Multimedia Technology(2010 ICMT),2010年
  • 30. Estimation of abundance and distribution of two moist tall grasses in the Watarase wetland,Japan,using hyperspectral imagery,ISPRS J PHOTOGRAMM,2009年
  • 31. Mapping potential habitats of threatened plant species in a moist tall grassland using hyperspectral imagery,BIODIVERS CONSERV,2009年
  • 32. Comparison between several feature extraction/classification methods for mapping complicated agricultural land use patches using airborne hyperspectral data,INT J REMOTE SENS,2007年
  • 33. Evaluation of supervised classification algorithms for identifying crops using airborne hyperspectral data,INT J REMOTE SENS,2006年
  • 34. Estimation of Plant Abundance and Distribution of Miscanthus sacchariflorus and Phragmites australis Using Matched Filtering of Hyperspetral Image,Eco-Engineering,2006年
  • 35. 基于遥感和GIS的长岭县土地利用/覆被时空变化研究,吉林农业大学学报,2006年
  • 36. Mapping Snow Cover Using AVHRR/NDVI 10-day Composite Data,Journal of Agricultural Meteorology,2005年
  • 37. 松嫩沙地土地利用变化的社会经济驱动机制分析——以吉林省前郭县为例,东北师大学报 ,2002年
  • 38. 地理图形信息分析方法及其在土地利用研究中的应用,东北师大学报 ,2002年
  • 39. 论精确农业建设的地理信息技术关键,地球信息科学 ,2001年
  • 40. 大布苏湖全新世沉积芯的粒度特征与湖面波动,东北师大学报 ,2000年
信息维护