[1]
|
Feng Xiaoming, Zhao Yingshi. A spectral -directional reflectance remote sensing model of the semiarid landscape[J]. Journal of Remote Sensing, 2005, 9 (4): 337-342. (in Chinese) |
[2]
|
|
[3]
|
|
[4]
|
Wu Chaoyang, Niu Zheng, Wang Jindi, et al. Predicting leaf area index in wheat using angular vegetation indices derived from in situ canopy measurements [J]. Canadian Journal of Remote Sensing, 2010, 36(4): 301-312. |
[5]
|
Qin Wenhan, Xiang Yueqin. An analytica1 model for bidirectional reflectance factor of multi -component vegetation canopies [J]. Science China (Series C), l996, 26: 542-551. (in Chinese) |
[6]
|
|
[7]
|
Sandmeier St, Muller Ch, Hosgood B, et al. Physical mechanisms in hyperspectral BRDF data o f grass and watercress [J]. Remote Sensing of Environment, 1998, 66: 222-233. |
[8]
|
|
[9]
|
Sandmeier S, Deering D W. Structure analysis and classification of Boreal forests using airborne hyperspectral BRDF data from ASAS [J]. Remote Sensing of Environment, 1999, 69: 281-295. |
[10]
|
|
[11]
|
|
[12]
|
D'Entremont, Schaaf R P, Lucht C B, et al. Retrieval of red spectral albedo and bidirectional reflectance from 1km2 satellite observations for the New England region [J]. Journal of Geophysical Research, 1999, 104: 6229-6339. |
[13]
|
|
[14]
|
Gao Feng, Schaaf C B, Strahler A H, et al. Detecting vegetation structure using a Kernel-Based BRDF model [J]. Remote Sensing of Environment, 2003, 86:1 98-205. |
[15]
|
Shen Guangrong, Wang Renchao. A study on multicomponent bidirectional reflectance model for rice [J]. Chinese Journal of Applied Ecology, 2003, 14(3): 394-398. (in Chinese) |
[16]
|
|
[17]
|
Li Yunmei. Theroy and Application of Vegetation Radiation Transfor [M]. Nanjing: Nanjing Normal Unversity, 2005: 11. (in Chinese) |
[18]
|
|
[19]
|
Schneider Th, Manakos I. BRDF approximation of maize and canopy parameter retrieval by ProSail inversion [C]//The 3rd EARSEL Workshop on Imaging Spectroscopy, 2003, 5: 13-16. |
[20]
|
|
[21]
|
|
[22]
|
Huang Wenjiang, Wang Jihua, Liu Liangyun, et al. Remote sensing identification of plant structural types based on multi -temporal and bidirectional canopy spectrum [J]. Transactions of The Chinese Society of Agricultural Engineering, 2005, 21(6) :1-5. (in Chinese) |
[23]
|
|
[24]
|
Schut. Imaging spectroscopy for characterization of grass swards [D]. Netherlands: Wageningen University, 2003. |
[25]
|
Casa R, Jones H G. Retrieval of crop canopy properties: a comparison between model inversion from hyperspectral data and image classification [J]. International Journal of Remote Sensing, 2004, 25( 6): 1119-1130. |
[26]
|
|
[27]
|
Zhang Dongyan. Diagnosis mechanism and methods of crop chlorophyll information based on hypersepctral imaging technology [D]. Hangzhou: Zhejiang University, 2012. (in Chinese) |
[28]
|
|
[29]
|
Wang Zhijie, Coburn C A, Ren Xuemin, et al. Effect of soil surface roughness and scene components on soil surface bidirectional reflectance factor [J]. Canadian Journal of Soil Science, 2012, 92(2): 297-313. |
[30]
|
|
[31]
|
Liu Qinhuo, Xin Xiaozhou, Tang Pin, et al. Research Model,Application and Uncertainty of Quantitative Remote Sensing [M]. Beijing: Science Press, 2010: 1. (in Chinese) |
[32]
|
|
[33]
|
Wang Zhijie, Coburn C A, Ren Xuemin, et al. Effect of soil surface roughness and scene components on soil surface bidirectional reflectance factor [J]. Canadian Journal of Soil Science, 2012, 92(2): 297-313. |
[34]
|
|
[35]
|
Li Xiaowen, Strahler A, Zhu Qijiang. Geometric -optical bidirectional reflectance modelling of ground objects and its progress in measurement [J]. Remote Sensing For Land Resources, 1991, 7(1): 9-19. (in Chinese) |
[36]
|
|
[37]
|
Kimes D S, Newcomb W W, Tucker C J, et al. Directional reflectance factor distribution for cover types of Northern Afirica [J]. Remote Sensing of Enviroment, 1985, 18:1-19. |
[38]
|
|
[39]
|
|
[40]
|
Kimes D S. Dynamics of directional reflectance factor distributions for vegetation canopies [J]. Application Optics, 1993, 22(9): 1364-1372. |
[41]
|
|
[42]
|
Kuusk A. The angular distribution of reflectance and vegetation indices in barley and clover canopies [J]. Remote Sensing of Enviroment, 1991, 37: 143-151. |
[43]
|
|
[44]
|
Li Yunmei. Studying on rice BRDF model integration and its application [D]. Hangzhou: Zhejiang Unversity, 2001. (in Chinese) |
[45]
|
|
[46]
|
Chen Jieliang. Hyperspectral Remote Sensing Information Extraction and BRDF Model of Soil [M]. Hangzhou: Zhejiang University, 2008. (in Chinese) |
[47]
|
Li Yunmei, Wang Renchao, Wang Xiuzhen, et al. Effect of rice canopy structural changes on bidirectional reflectance[J]. Chinese Journal of Applied Ecology, 2001, 32 (3):47-52.(in Chinese) |
[48]
|
|
[49]
|
|
[50]
|
Haboudane D, Miller J, Tremblay N, et al. Integrated narrow -band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture[J]. Remote Sensing of Environment, 2002, 81: 416-426. |
[51]
|
|
[52]
|
Tan Changwei, Wang Jihua, Lu Jianfei, et al. Summer maize growth supervision and nutrition diagnosis with red edge parameters [J]. Chinese Journal of Eco-Agriculture, 2007, 15(1): 82-86. (in Chinese) |
[53]
|
|
[54]
|
Niu Zheng. Recent advance in studies on vegetative bidirectional reflecting property [J]. Remote Sensing Technology and Appication, 1997, 12(3): 49-57. (in Chinese) |
[55]
|
Li Yunmei, Wang Renchao, Wang Xiuzhen, et al. Simulation of bidirectional reflectance on rice canopy and its inversion[J]. Chinese Journal of Rice Science, 2002, 16 (3): 291 -294. (in Chinese) |
[56]
|
Fan Wenjie, Yan Binyan, Xu Xiru, et al. Crop area and leaf area index simultaneous retrieval based on spatial scaling transformation [J]. Science China Earth Science, 2010, 40 (12): 1735-1732. (in Chinese) |
[57]
|
|
[58]
|
Yang Guijun, Xing Zhurong, Huang Wenjiang, et al. Analysis of winter wheat canopy structure for different plant types of growth period [J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(7): 227-234.(in Chinese) |
[59]
|
|
[60]
|
Zhang Zhengyi. Effect on Yield and Quality of Soybean in Different Sowing Density and Relay-cropping [M]. Chengdu: Sichuan Agricultural University, 2008. (in Chinese) |
[61]
|
|
[62]
|
Sims D A, Gamon J A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages [J]. Remote Sensing of Environment, 2002, 81: 337-354. |
[63]
|
|
[64]
|
Haboudane D, Miller J R, Pattey E. Hyperspectral vegetation in dices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture [J]. Remote Sensing of Environment, 2004, 90: 337-352. |
[65]
|
|