天山北坡草地盖度高光谱遥感估算

发布时间：2019-06-11 01:43

【摘要】：以天山北坡乌鲁木齐县甘沟乡为研究区,利用美国SVC HR-768便携式光谱仪采集25块样方的高光谱数据,并测定对应样方中草地盖度,分析草地盖度与原始光谱、一阶微分光谱和高光谱特征变量之间的相关关系;采用回归统计的方法,基于高光谱位置变量、高光谱面积变量和高光谱植被指数变量构建草地盖度的估测模型,并进行模型精度评价。结果表明,研究区草地盖度与植被冠层光谱反射率相关性较强的波段范围为354-704、1 420-1 481和1 904-2 512nm;基于一阶微分光谱和高光谱植被指数构建的估测模型能更好地反演草地盖度。通过模型检验,确定基于560nm的光谱一阶微分模型y=-384.153x+72.096可作为草地盖度的最优估测模型,模型均方根误差为7.344%,估算精度为90.343%。
[Abstract]:Taking Ganggou Township, Urumqi County, northern slope of Tianshan Mountain as the study area, the hyperspectral data of 25 samples were collected by SVC HR-768 portable spectrometer in the United States, and the grassland coverage in the corresponding sample was measured, and the grassland coverage and original spectrum were analyzed. The correlation between the first order differential spectrum and the hyperspectral characteristic variable; Based on hyperspectral position variables, hyperspectral area variables and hyperspectral vegetation index variables, the estimation model of grassland coverage was constructed by regression statistics, and the accuracy of the model was evaluated. The results showed that the range of correlation between grassland coverage and spectral reflectivity of vegetation canopy was 354 卤704, 1.420 鈮，

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