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Random forest algorithm and regional applications of spectral inversion model for estimating canopy nitrogen concentration in rice 被引量:1

Random forest algorithm and regional applications of spectral inversion model for estimating canopy nitrogen concentration in rice
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出处 《遥感学报》 CSCD 北大核心 2014年第4期923-945,共23页 NATIONAL REMOTE SENSING BULLETIN
基金 Foundation: National Natural Science Foundation of China (No.41371407, 40771155)
random forest algorithm, nitrogen inversion model, upscaling, regional application
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  • 1Blackmer T M, Schepers J S, Varvel G E and Walter-Shea E A. 1996. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies. Agronomy Journal, 88(1): 1-5 [DOI: 10 2.134/agronj 1996.00021962008800010001 x ].
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  • 7Grimm R, Behrens T, M-rker M and Elsenbeer H. 2008. Soil organic carbon concentrations and stocks on Barro Colorado Island-Digital soil mapping using Random Forests analysis. Geoderma, 146 ( 1/2): 102-113 [DOI: 10.1016/j.geoderma.2008.05.008 ].
  • 8李小正,谢瑞芝,王克如,白中英,李少昆,王方永,高世菊.利用神经网络提取棉花叶片数字图像氮素含量的初步研究[J].作物学报,2007,33(10):1662-1666. 被引量:18
  • 9林芬芳,陈祝炉,王珂,邓劲松,许红卫.基于傅里叶变换红外光谱和siPLS-GA-PLS的水稻叶片氮素含量预测研究[J].红外与毫米波学报,2009,28(4):277-280. 被引量:11
  • 10刘布春,王石立,马玉平.国外作物生长模型区域应用中升尺度问题的研究[J].中国生态农业学报,2003,11(4):89-91. 被引量:12

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