[1]胡昊, 白由路, 杨俐苹, 卢艳丽, 王磊, 王贺, 孔庆波. 不同氮营养冬小麦冠层光谱红边特征分析. 植物营养与肥料学报, 2009, 15(6): 1317-1323.Hu H, Bai Y L, Yang L P, Lu Y L, Wang L, Wang H, Kong Q B. Red edge parameters of winter wheat canopy under different nitrogen levels. Plant Nutrition and Fertilizer Science, 2009, 15(6): 1317-1323. (in Chinese)[2]姚霞, 朱艳, 田永超, 冯伟, 曹卫星. 小麦叶层氮含量估测的最佳高光谱参数研究. 中国农业科学, 2009, 42(8): 2716-2725.Yao X, Zhu Y, Tian Y C, Feng W, Cao W X. Research of the optimum hyperspectral vegetation indices on monitoring the nitrogen content in wheat leaves. Scientia Agricultura Sinica, 2009, 42(8): 2716-2725. (in Chinese)[3]梁亮, 杨敏华, 邓凯东, 张莲蓬, 林卉, 刘志宵. 一种估测小麦冠层氮含量的新高光谱指数. 生态学报, 2011, 31(21): 6594-6605.Liang L, Yang M H, Deng K D, Zhang L P, Lin H, Liu Z X. A new hyperspectral index for the estimation of nitrogen contents of wheat canopy. Acta Ecolagica Sinica, 2011, 31(21): 6594-6605. (in Chinese)[4]冯伟, 姚霞, 朱艳, 田永超, 曹卫星. 基于高光谱遥感的小麦叶片含氮量监测模型研究. 麦类作物学报, 2008, 28(5): 851-860.Feng W, Yao X, Zhu Y, Tian Y C, Cao W X. Monitoring leaf nitrogen concentration by hyperspectral remote sensing in wheat. Journal of Triticeae Crops, 2008, 28(5): 851-860. (in Chinese)[5]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. Remote Sensing of Environment, 2002, 81: 337-354.[6]Gitelson A A, Merzlyak M N. Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll. Journal of Plant Physiology, 1996, 148(3-4): 494-500.[7]Richardson A J, Wiegand C L. Distinguishing vegetation from soil background information (by gray mapping of Landsat MSS data). Photogrammetric Engineering and Remote Sensing, 1997, 43: 1541-1552.[8]薛利红, 曹卫星, 罗卫红, 张宪. 小麦叶片氮素状况与光谱特性的相关性研究. 植物生态学报, 2004, 28(2): 172-177.Xue L H, Cao W X, Luo W H, Zhang X. Correlation between leaf nitrogen status and canopy spectral characteristics in wheat. Acta Phytoecologica Sinica, 2004, 28(2): 172-177. (in Chinese)[9]Gupta R K, Vijayan D, Prasad T S. Comparative analysis of red- edge hyperspectral indices. Advances in Space Research, 2003, 32(11): 2217-2222.[10]Marshak A, Knyazikhin Y, Davis A B, Wiscombe W J, Pilewskie P. Cloud-vegetation interaction: use of normalized difference cloud index for estimation of cloud optical thickness. Geophysical Research Letters, 2000, 27(12): 1695-1698.[11]Haboudane D, Miller J R, Pattey E, Zarco-Tejada P J, Strachan I B. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 2004, 90(3): 337-352.[12]Broge N H, Leblanc E. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyII density. Remote Sensing of Environment, 2001, 76(2): 156-172.[13]Reyniers M, Walvoort D J J, de Baardemaaker J. A linear model to predict with a multispectral radiometer the amount of nitrogen in wheat. International Journal of Remote Sensing, 2006, 27(19): 4159-4179.[14]Chen P F, Haboudane D, Tremblay N, Wang J, Vigneault P, Li B G. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat. Remote Sensing of Environment, 2010, 114: 1987- 1997.[15]姚霞, 汤守鹏, 曹卫星, 田永超, 朱艳. 应用近红外光谱估测小麦叶片氮含量. 植物生态学报, 2011, 35(8): 844-852.Yao X, Tang S P, Cao W X, Tian Y C, Zhu Y. Estimating the nitrogen content in wheat leaves by near-infrared reflectance spectroscopy. Chinese Journal of Plant Ecology, 2011, 35(8): 844-852. (in Chinese)[16]谭昌伟, 周清波, 齐腊, 庄恒扬. 水稻氮素营养高光谱遥感诊断模型. 应用生态学报, 2008, 19(6): 1261-1268.Tan C W, Zhou Q B, Qi L, Zhuang H Y. Hyperspectral remote sensing diagnosis models of rice plant nitrogen nutritional status. Chinese Journal of Applied Ecology, 2008, 19(6): 1261-1268. (in Chinese)[17]张玉森, 姚霞, 田永超, 曹卫星, 朱艳. 应用近红外光谱预测水稻叶片氮含量. 植物生态学报, 2010, 34(6): 704-712.Zhang Y S, Yao X, Tian Y C, Cao W X, Zhu Y. Estimating leaf nitrogen content with near infrared reflectance spectroscopy in rice. Chinese Journal of Plant Ecology, 2010, 34(6): 704-712. (in Chinese)[18]李映雪, 朱艳, 田永超, 尤小涛, 周冬琴, 曹卫星. 小麦冠层反射光谱与籽粒蛋白质含量及相关品质指标的定量关系. 中国农业科学, 2005, 38(7): 1332-1338. Li Y X, Zhu Y, Tian Y C, Zhou D Q, Cao W X. Relationship of grain protein content and relevant quality traits to canopy reflectance spectra in wheat. Scientia Agricultura Sinica, 2005, 38(7): 1332-1338.[19]黄文江, 王纪华, 刘良云, 赵春江, 王锦地, 杜小鸿. 冬小麦红边参数变化规律及其营养诊断. 遥感技术与应用, 2008, 18(4): 206-211. Huang W J, Wang J H, Liu L Y, Zhao C J, Wang J D, Du X H. The red edge parameters diversification disciplinarian and its application for nutrition diagnosis. Remote Sensing Technology and Application, 2008, 18(4): 206-211. (in Chinese)[20]王渊, 黄敬峰, 王福民, 刘占宇. 油菜叶片和冠层水平氮素含量的高光谱反射率估算模型. 光谱学与光谱分析, 2008, 28(2): 273-277. Wang Y, Huang J F, Wang F M, Liu Z Y. Predicting nitrogen concentrations from hyperspectral reflectance at leaf and canopy for rape. Spectroscopy and Spectral Analysis, 2008, 28(2): 273-277. (in Chinese)[21]李映雪, 朱艳, 田永超, 姚霞, 秦晓东, 曹卫星. 小麦叶片氮含量与冠层反射光谱指数的定量关系. 作物学报, 2006, 32(3): 358-362.Li Y X, Zhu Y, Tian Y C, Yao X, Qin X D, Cao W X. Quantitative realationship between leaf nitrogen concentration and canopy reflectance spectra. Acta Agronomica Sinica, 2006, 32(3): 358-362. (in Chinese)[22]冯伟, 姚霞, 田永超, 朱艳, 李映雪, 曹卫星. 基于高光谱遥感的小麦叶片糖氮比监测. 中国农业科学, 2008, 41(6): 1630-1639.Feng W, Yao X, Tian Y C, Zhu Y, Li Y X, Cao W X. Monitoring the sugar to nitrogen ratio in wheat leaves with hyperspectral remote sensing. Scientia Agricultura Sinica, 2008, 41(6): 1630-1639. (in Chinese) |