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作 者:刘桃菊[1] 徐涛[1] 姚静[1] 张笑东[1] 江绍琳[1] 唐建军[1]
机构地区:[1]江西农业大学江西省作物生理生态与遗传育种重点实验室,江西南昌330045
出 处:《Agricultural Science & Technology》2016年第11期2446-2448,2451,共4页农业科学与技术(英文版)
基 金:Supported by the National Natural Science Foundation of China(31160252)~~
摘 要:Monitoring rice growth by spectral remote sensing technology can provide scientific basis for the high yield and efficient production of rice. Field experiments with different nitrogen application amounts using Tianyouhuazhan rice as test sam- ples were set up to study the relationship between rice leaf area index (LAI) and canopy reflectance spectral. The results showed that: the LAI increased with the amount of applied nitrogen; the canopy reflectance spectral showed significant re- sponse characteristics to groups with different nitrogen application levels; the corre- lation coefficient of LAI and canopy spectral reflectance reached the maximum at 720 nm red edge region. The mathematical model was constructed to predict the LAI according to the canopy reflectance spectra of rice.通过光谱遥感技术对水稻长势进行监测,可以为水稻高产高效生产提供科学依据。该研究以晚稻天优华占为供试品种,设置不同施氮量的田间试验,研究不同氮素水平下水稻叶面积指数与冠层光谱反射率之间的关系,结果表明水稻叶面积指数有随着施氮量增加而增加的趋势,冠层光谱对不同施氮量群体有明显的响应特征,叶面积指数与冠层光谱反射率在720 nm左右的红边区域相关系数最大,进一步构建了水稻LAI与冠层反射光谱的数学模型。
关 键 词:RICE Leaf area index Canopy reflectance spectra Mathematical model
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