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随着精准农业的发展,应用遥感技术,特别是高光谱遥感,实现农作物管理、监测和估产的研究也随之展开。当前,水稻、小麦等1年生作物的生长监测与估产方法研究发展迅速,一些研究成果已经开始为生产服务。但是对于多年生经济作物产量预测的研究很少。以多年生柑橘树为研究对象,利用ASD手持光谱仪采集柑橘林冠层光谱,研究分析了柑橘光谱植被指数及其与产量的关系,并综合考虑农学因子对产量的影响,构建了基于高光谱数据和农学参数的柑橘估产模型。通过显著性检验和样本检验,得出该模型的拟合程度R=0.631,F=13.201(P<0.01),误差率控制在3%~16%,说明该模型具有统计学意义和可靠性,同时也证明了高光谱遥感技术在柑橘产量估算研究中的巨大潜力。该研究是高光谱遥感技术在柑橘估产领域中的一次应用与探索。
With the development of precision agriculture, the application of remote sensing technology, especially hyperspectral remote sensing, to crop management, monitoring and yield estimation will also be followed. At present, the research on growth monitoring and estimation of annual crops such as rice and wheat is developing rapidly, and some research results have started to serve production. However, few studies have forecast the yield of perennial cash crops. Taking the perennial citrus tree as the research object, the ASD handheld spectrometer was used to collect the canopy spectrum of the citrus canopy. The relationship between the spectral index of the citrus and its yield was studied and analyzed. Considering the influence of agronomic factors on the yield, Parameters of citrus yield estimation model. Through the significance test and sample test, the fitting degree of the model was obtained as R = 0.631, F = 13.201 (P <0.01), and the error rate was controlled between 3% and 16%, which showed that the model was statistically significant and reliable, At the same time, it also proves the great potential of hyperspectral remote sensing technology in citrus yield estimation. This study is an application and exploration of hyperspectral remote sensing technology in the field of citrus yield estimation.