Sentinel-2A影像凭借其较高的空间分辨率和时间序列连续等优点被广泛应用于植被生长监测领域,其红边区域窄波段的设置保证其可精确捕获植被的光谱红边特征,为高植被覆盖区域的植被群落分类提供了可能性。以太湖竺山湾湖滨带区域的植被缓冲带为研究对象,通过构建植被红边斜率计算模型,统计不同植被群落红边斜率的年内变化趋势,评价红边斜率在湖滨带植被群落分类中的效果,辅以基于归一化植被指数的分类结果、不同分类方式下各植被群落间可分性的定量统计作为验证。研究结果显示,植被红边斜率在湖滨带植被群落分类中应用效果较佳,且在植被高覆盖时期优势更为明显。通过研究分析,可以认为Sentinel-2A的光谱红边斜率特征在植被群落分类中具有较好的应用能力。

Sentinel-2A image has been widely used in the vegetation growth monitoring field thanks to the advantages of high spatial resolution and continuous times series.Its special settings of the red edge bands ensure it can accurately capture the vegetation red edge features,which can avoid the influence of chlorophyll saturation effect and make it possible for the vegetation classification of high vegetation coverage.This study makes the classification of vegetation community in the lakeside of Taihu lake based on existing knowledge and builds a vegetation red edge slope calculation model to calculate the variation of slope of red edge in 2017.Finally,the results of classification based on normalized vegetation index and quantitative statistics on the separability of different vegetation communities under different classification methods are used as verification.The results show that the slope of the red edge of vegetation has a better effect on the classification of vegetation community in the lakeside zone,and has a more obvious advantage in the period of high vegetation cover.Therefore,it can be concluded that the red edge slope feature of sentinel-2A has a good application in the classification of vegetation community.