基于光谱变换定量估算苹果叶片的等效水厚度
王青华, 朱西存, 王凌, 高璐璐, 赵庚星. 基于光谱变换定量估算苹果叶片的等效水厚度[J]. 红外, 2016, 37(11): 42.
WANG Qing-hua, ZHU Xi-cun, WANG Ling, GAO Lu-lu, ZHAO Geng-xing. Quantitative Estimation of Equivalent Water Thickness of Apple Leaves Based on Hyperspectral Transformation[J]. INFRARED, 2016, 37(11): 42.
[1] Zhang L, Zhou Z G, Zhang G W, et al. Monitoring the Leaf Water Content and Specific Leaf Weight of Cotton (Gossypium hirsutum L.) in Saline Soil Using Leaf Spectral Reflectance[J].European Journal of Agronomy, 2012,41:103-117.
[2] 罗永忠, 成自勇. 水分胁迫对紫花苜蓿叶水势、蒸腾速率和气孔导度的影响[J]. 草地学报, 2011,19(2):215-221.
[3] 刘翥,杨玉盛,司友涛,等. 植被恢复对侵蚀红壤可溶性有机质含量及光谱学特征的影响[J].植物生态学报, 2014, 38(11):1174-1183.
[4] Thomas J R, Namken L N, Oerther G F, et al. Estimating Leaf Water Content by Reflectance Measurements[J].Agronomy Journal, 1971, 63: 845-847.
[5] Tucker C J. Remote Sensing of Leaf Water Content in the Near Infrared[J].Remote Sensing of Environment, 1980,10:23-32.
[6] Carter G A. Primary and Secondary Effects of Water Content on the Spectral Reflectance of Leaves[J].American Journal of Botany,1991, 78:916-924.
[7] Inoue Y, Morinaga S, Shibayama M. Non-destructive Estimation of Water Status of Intact Crop Leaves Based on Spectral Reflectance Measurements[J].Japanese Journal of Crop Science, 1993,62: 462-469.
[8] Penuelas J, Filelia L, Biel C, et al. The Reflectance at the 950 970 nm Region as an Indicator of Plant Water Status[J].International ournal of Remote Sensing, 1993,14:1887-1905.
[9] 刘良云, 王纪华, 张永江, 等. 叶片辐射等效水厚度计算与叶片水分定量反演研究[J].遥感学报, 2007, 11(3),289-295.
[10] Seelig H, Hoehn A, Stodieck L. The Assessment of Leaf Water Content Using Leaf Eflectance Ratios in the Visible, Near-, and Short-wave-infrared[J].International Journal of Remote Sensing, 2008,29(13):3701-3713.
[11] Danson F, Steven M., Malthus T. High-spectral Resolution Data for Determining Leaf Water Content[J].International Journal of Remote Sensing, 1992,13 (3):461-470.
[12] Baghzouz M, Devitt D, Morris R. Assessing Canopy Spectral Reflectance of Hybrid Bermudagrass under Various Combinations of Nitrogren and Water Treatments [J].Applied Engineering in Agriculture, 2007,23(6):763.
[13] 王强,易秋香,包安明, 等. 棉花冠层水分含量估算的高光谱指数研究[J]. 光谱学与光谱分析, 2013, 33(2):507-512.
[14] 张倩. 基于决策树方法的航空高光谱遥感土地覆盖分类研究[D].山东科技大学,2005.
[15] 韩兆迎, 朱西存, 刘庆,等. 黄河三角洲土壤有机质含量的高光谱反演[J].植物营养与肥料学报, 2014,20(6): 1545-1552.
[16] 周文芳,李民. 逐步回归分析法的一点不足之处[J].西北水电, 2004(4):49-50.
[17] 郭 轶, 异步电机的智能故障诊断研究[D]. 南昌大学,2015.
[18] 刘秀英, 王力, 常庆瑞, 等. 基于相关分析和偏最小二乘回归的黄绵土土壤全氮和碱解氮含量的高光谱预测[J].应用生态学报, 2015,26(7):2107-2114.
[19] 刘炜, 常庆瑞, 郭曼, 等. 不同尺度的微分窗口下土壤有机质的一阶导数光谱响应特征分析[J].红外与毫米波学报, 2011, 30(4):316-321.
王青华, 朱西存, 王凌, 高璐璐, 赵庚星. 基于光谱变换定量估算苹果叶片的等效水厚度[J]. 红外, 2016, 37(11): 42. WANG Qing-hua, ZHU Xi-cun, WANG Ling, GAO Lu-lu, ZHAO Geng-xing. Quantitative Estimation of Equivalent Water Thickness of Apple Leaves Based on Hyperspectral Transformation[J]. INFRARED, 2016, 37(11): 42.
PDF全文
