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基于高分辨率遥感数据的树种光谱特征分析对树种识别具有极其重要的意义。以呼和浩特市World View-Ⅱ影像为数据源,分析11个树种及草类的影像光谱特征。研究结果表明:各树种及草类均在近红外1和近红外2波段有较高的反射率,而在红光和红边波段有较低的反射率;在绿光、红边、近红外1、近红外2波段,草类的反射率均值明显高于其他树种,在红边、近红外1、近红外2波段,草类可与大多数针叶树种区分开来;各树种及草类在海岸、蓝、绿、黄波段可分性不大,在红、红色边缘、近红外1、近红外2波段可分性较大。
Tree species spectral characteristics analysis based on high-resolution remote sensing data is extremely important for tree species identification. Taking the World View-Ⅱ image of Hohhot as the data source, the image spectral characteristics of 11 tree species and grass species were analyzed. The results showed that all tree species and grass species had higher reflectivity in the near-infrared 1 and near-infrared 2 bands and lower reflectivity in the red and red-edge bands. In the green, red and near infrared 1, near-infrared 2-band, the average reflectance of grasses was significantly higher than that of other species. In the red edge, near-infrared 1 and near-infrared 2 bands, grasses could be distinguished from most conifers; Coastal, blue, green, yellow band separability is not big, in the red, red edge, near infrared 1, near infrared 2-band divisibility.