光学浅水海草高光谱识别

以三亚湾泰莱藻为例, 对海草光谱特征进行分析。结果表明, 450—780nm是海草光谱主要敏感波段, 其波段内的导数光谱是海草叶面积大小序列辨别的有效依据。一阶导数获得的红边与叶片叶绿素a浓度密切相关。   海草在625nm、675nm 两处出现明显的导数特征峰, 两峰峰值相差较大; 其优势特征峰分布在550nm、700nm、750—780nm。实际应用中, 此特征可作为海草底质分类的识别条件, 与海草覆盖率和光谱特征的关系相结合, 可对大量的遥感数据进行识别, 从而达到大尺度遥感监测海草分布和动态变化的目的。

Hyperspectral recognition of seagrass in optically shallow water

The authors use the spectrum of Thalassia to analyze the optical properties of seagrass substrates. The results show that in the range of 450?780nm, the derivative spectral reflectance of seaweed can reflect the variability of leaf area index with high accuracy. Red edge calculated by the first order derivative spectrometry is a good indicator for chlorophyll concentration. In the derivative spectra, there are two obvious peaks at 625nm and 675nm, and the difference between the two peak values is large for seagrass. Other dominated peaks appear at 550nm, 700nm, and 750?780nm. Combining with the relationship between seagrass coverage rate and the spectral properties, the properties of peak distribution can be utilized to classify plenty of re-mote sensing data sets in order to monitor large scale spatio-temporal dynamic patterns.