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首页> 外文会议>Conference on Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture; Aug 7, 2003; San Diego, California, USA >Estimating cotton growth and developmental parameters through remote sensing
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Estimating cotton growth and developmental parameters through remote sensing

机译：通过遥感估算棉花的生长发育参数

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摘要

Three field experiments of nitrogen (N) rates, plant growth regulator (PIX) applications, and irrigation regimes were conducted in 2001 and 2002 to investigate relationships between hyperspectral reflectance (400-2500 nm) and cotton (Gossypium hirsutum L.) growth, physiology, and yield. Leaf and canopy spectral reflectance and leaf N concentration were measured weekly or biweekly during the growing season. Plant height, mainstem nodes, leaf area, and aboveground biomass were also determined by harvesting 1-m row plants in each plot at different growth stages. Cotton seed and lint yields were obtained by mechanical harvest. From canopy hyperspectral reflectance data, several reflectance indices, including simple ratio (SR) and normalized difference vegetation index (NDVI), were calculated. Linear relationships were found between leaf N concentration and a ratio of leaf reflectance at wavelengths 517 and 413 nm (R_(517)/R_(413)) (r~2 = 0.70, n = 150). Nitrogen deficiency significantly increased leaf and canopy reflectance in the visible range. Plant height and mainstem nodes were related closely to a SR (R_(750)/R_(550)) according to either a logarithmic or linear function (r~2 = 0.63～0.68). The relationships between LAI or biomass and canopy reflectance could be expressed in an exponential fashion with the SR or NDVI [(R_(935)-R_(661)])/(R_(935)+R_(661))] (r~2 = 0.67～0.78). Lint yields were highly correlated with the NDVI around the first flower stage (r~2 = 0.64). Therefore, leaf reflectance ratio of R_(517)/R_(413) may be used to estimate leaf N concentration. The NDVI around first flower stage may provide a useful tool to predict lint yield in cotton.
机译：在2001年和2002年进行了三个氮（N）速率，植物生长调节剂（PIX）应用和灌溉制度的野外试验，以研究高光谱反射率（400-2500 nm）与棉花（陆地棉）生长，生理之间的关系。和产量。在生长季节每周或每两周测量一次叶片和冠层的光谱反射率和叶片氮含量。还可以通过在不同生长阶段在每个样地中收获1-m行植物来确定植物的高度，主茎节，叶面积和地上生物量。通过机械收割获得棉花种子和皮棉产量。根据冠层高光谱反射率数据，计算了几个反射率指数，包括简单比率（SR）和归一化植被指数（NDVI）。发现叶片氮浓度与波长517和413 nm处叶片反射率之比之间的线性关系（R_（517）/ R_（413））（r〜2 = 0.70，n = 150）。氮缺乏在可见光范围内显着增加叶片和冠层的反射率。根据对数或线性函数（r〜2 = 0.63〜0.68），株高和主茎节与SR（R_（750）/ R_（550））密切相关。 LAI或生物量与冠层反射率之间的关系可以用SR或NDVI [（R_（935）-R_（661）] /（R_（935）+ R_（661））]（r〜 2 = 0.67〜0.78）。在第一花期，皮棉产量与NDVI高度相关（r〜2 = 0.64）。因此，R_（517）/ R_（413）的叶片反射率可用于估算叶片氮浓度。第一个开花阶段的NDVI可能为预测棉花的皮棉产量提供有用的工具。

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