高光谱遥感资料无损伤动态监测棉花叶面积指数的研究
首发时间:2007-04-12
摘要:作物叶面积指数是农业生态系统研究中最重要的生物参数之一,利用具有高光谱分辨率的遥感资料动态无损测定测定棉花叶面积,为精细农业的发展拓宽了研究空间。本文研究了张家港市和浙江大学华家池校区两个地区的棉花生育期动态变化等数据资料,通过多种方式的高光谱资料测定,发现棉花叶面积指数与高光谱遥感信息之间具有明显的相关性。在900nm波段附近,叶面积指数与原始光谱之间的线性模型决定系数R2为0.1722非线性模型为R2为0.266,而叶面积指数与763.18nm处的一阶微分光谱之间的线性模型决定系数R2为0.2467非线性模型决定系数R2为0.3774,其决定系数均达到极显著水平(P<0.01)。因此,可以利用该处的高光谱遥感值,建立棉花叶面积与地面高光谱之间的遥感估产模型,并利用构建的高光谱遥感估产模型进行大面积棉花遥感估产和产量预报。
关键词: 棉花 叶面积指数 高光谱遥感 原始光谱与导数光谱曲线
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A Non-invasive Way of Detecting LAI of Cotton Using Hyperspectral Sensing Data
Abstract: LAI of crops is one of the most important physical parameters in agro-ecological system. Hyperspectral remote sensing data can effectively detect the cotton LAI in a non-invasive way. To broaden the development of precision agriculture research, This paper introduces the principles of measuring the cotton LAI by the method of Hyperspectrum, compares the cotton life periods in Zhangjiagang and Huajiachi campus in Zhejiang University, measures the data by many ways and finds that there are obvious relations between LAI and hyperspectral data. In the spectrum of about 900nm and 763.18nm, the correlation coefficient of cotton LAI, respectively, can be used to form the models of hyperspectrum. We can use the yield estimation models made by Hyperspectral remote sensing to estimate the production of cotton of large areas.
Keywords: Cotton, LAI, Hyperspectrum remote sensing, the original spectra and the derivative spectral curves
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No.1218010993011763****
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