该文论述了成象光谱信息在鄱阳湖湿地进行植被光谱识别分类与生物量制图的部分研究结果,研究如何从高光谱分辨率图象上有效地定量提取植被生物物理参量以及湿地植被类型识别,包括(1)基于多高度大气订正后的反射率图像获取;(2)导数光谱分析与生物量制图;(3)基于光谱波形匹配的湿地植被分类、识别。

The paper presents some results of vegetation spectral identification,classification and biomass mapping by hyperspectral imaging spectrometry in Poyang Lake wetland,China The study focuses on how to retrieve canopy biophysical characteristics and how to identify vegetation types from hyperspectral image effectively The main approaches are as follows ①Retrieval of apparent surface reflectance from imaging spectrometer imagery,based on Multiheigh technique;②Derivative spectral analysis and biomass estimation;③Wetland vegetation identification and classification based on spectral waveform matching.