鸭脖娱乐app - 鸭脖娱乐网站

   个人简介

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， https://www.researchgate.net/profile/Shan-Lu-5

  教育经历

2004-2007 博士 日本东京大学 生物环境工学

2003-2004 研究生 日本东京大学 生物环境工学

1999-2002 理学硕士 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

2018-2019 访问学者 美国俄克拉荷马大学

   社会兼职

日本高崎健康福祉大学客座教授

   联系方式

E-mail:lus123@nenu.edu.cn

电话：0431-85098715（办公室）

首页：http：//js.nenu.edu.cn/teacher/edit.php？zgh=2008900027 https://www.researchgate.net/profile/Shan-Lu-5

   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

鸭脖娱乐app地理信息科学系人民街5268号

   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）X. Li, Z. Sun*, Shan Lu*, K. Omasa. PROSPECULAR: A model for simulating multi-angular spectral properties of leaves by coupling PROSPECT with a specular function. Remote Sensing of Environment 2023 (297) 113754.

(2) D. Ran, Z. Sun*, Shan Lu*, K. Omasa. Optimizing angular resistant spectral indices to estimate leaf biochemical parameters from multi-angular spectral reflection. Agricultural Forest and Meteorology 2024 (348) 109916.

（3）C. Yao，Z. Sun*, Shan Lu*. Evaluation of PROSPECT inversion approaches using multiangular spectral reflectance factor of leaves. IEEE Transactions on Geoscience and Remote Sensing 2024 (62) 4402716.

（4） Z. Sun, Shan Lu*, K, Omasa. A New Method to Estimate the Leaf Chlorophyll Content from Multiangular Measurements: Anisotropy Index. IEEE Transactions on Geoscience and Remote Sensing, 2023 (61), 44101914.

（5）Z. Sun, Shan Lu*, K, Omasa. MART-soil: A modified analytical radiative transfer mode for simulating multi-angular reflection of soils with different particle size. Geoderma, 2023 (431) 116366.

（6）C. Yao, Z. Sun*, Shan Lu*. Reducing BRDF Effects on the Estimation of Leaf Biochemical Parameters Using the Nonpolarized Reflectance Factor in the Hemispheric Space. IEEE Transactions on Geoscience and Remote Sensing, 2022 (60), 4410717.

（7）X. Wang, Z. Sun, Shan Lu*, Z. Zhang*. Comparison of Phenology Estimated from Monthly Vegetation Indices and Solar-Induced Chlorophyll Fluorescence in China. Frontiers in Earth Science, 2022 (10), 802763.

（8）Z. Sun, Z. Bu*, Shan Lu*, K. Omasa. A General Algorithm of Leaf Chlorophyll Content Estimation for A Wide Range of Plant species. IEEE Transactions on Geoscience and Remote Sensing, 2022 (60), 4406814.

（9）Y. Li, Z. Sun*, Shan Lu*. Optimizing Two-Band Spectral Indices to Estimate Leaf Chlorophyll Content Using the Non-Polarized Reflectance Factors. IEEE Geoscience and Remote Sensing Letters, 2022 (19), 2502005.

（10）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, 2022 (60), 4404715.

（11）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.

（12）Y. Liu, K. Hatou, T. Aihara, T. Akiyama, Y. Kohno, Shan Lu, K. Omasa*. A Robust Vegetation Index based on Different UAV RGB Images to Estimate SPAD Values of Naked Barley Leaves. Remote Sensing, 2021 (13), 686.

(13) 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.

（14）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.

（15）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.

(16) X. Lu, E. Ono, Shan Lu, Y. Zhang, P. Teng, M. Aono, Y. Shimizu, F. Hosoi, K. Omasa. Reconstruction method and optimum range of camera-shooting angle for 3D plant modeling using a multi-camera photography system. Plant Methods, 2021 (16) 118.

(17) 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.

(18)F. Lu, Z. Bu. Shan Lu*. Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance. Sensors 2019, 19194059.

(19)Z. Sun, Y. Zhao, Shan Lu, Y. Lv. 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 （22），947-956.

(20) 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

(21) X. Wang, Z. Wang, W. You, F. Lu, Y, Zhao. Shan Lu*. 利用叶片正反面反射光谱估算叶绿素含量， SPECTROSC SPECT ANAL，2018, 38(8), 2524-2528.

(22) 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

(23) 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

(24)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.

(25)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.

(26) 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.

(27) 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.

(28) 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.

(29) Y. Liu, Shan Lu, Y. Zhao, 2π空间内土壤的偏振辐射亮度分析， 红外， 2015 （5）30-34.

(30) 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.

(31) 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.

(32) 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.

(33) 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.

(34) 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.

(35) 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

(36) 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.

(37) 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。