个人简历
东北师范大学，地理科学学院，教授。地理信息科学系主任。2004-2007PhD日本东京大学生物环境工学2003-2004ResearchStudent日本东京大学生物环境工学1999-2002MSc东北师范大学自然地理1995-1999BA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承担的科研项目：1.吉林省科技厅，20180101313JC，异面叶植物水分状况的高光谱遥感估算，2018/01-2020/12，12.0万元，在研，主持。2.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。3.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。4.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。5.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。
研究领域
植被高光谱遥感""
近期论文
(1) 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) 1-15(2) X. Gao, Shan Lu*. The relationship of the leaf surface wettability and degree of reflectance polarization. Spectroscopy and Spectral Analysis, 2018 (38) 923-928.(3)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(4)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.(5) 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(6) 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 (7) 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 (8) 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 （9）T. Yang，W. Zhao，Z. Wang，X, Lu，Shan Lu* Changes of Cropping System in China Based on Remotely Sensed NDVI data. Scientia Agricultural Sinica 2015,（48），1915-1925(10) 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. (11) 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 (12) 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 (13) 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.(14) 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 （15）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.(16) 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.
