Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (13): 2655-2667.doi: 10.3864/j.issn.0578-1752.2013.13.004
• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles Next Articles
DI Qing-Yun, ZHANG Juan-Juan, XIONG Shu-Ping, LIU Juan, YANG Yang, MA Xin-Ming
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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. 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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. 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