基于地面实测高光谱数据的三江源中东部草地植被光谱特征研究

草地不仅是畜牧业的生产基地,而且是生态安全屏障保护和牧民生活与草原文化传承的基础,具有生态、生产和生活功能。然而,草地日益退化导致的生态经济问题越来越突出。因此,实时、准确地监测草地的退化具有重要意义。根据所测定的各种地面植被的光谱数据,分析了三江源中东部典型草原区常见草种的光谱特性;利用一阶微分法、连续统去除法和归一化微分比的方法对草地植被光谱反射曲线进行了处理,提取了典型草地植被的光谱特征;通过光谱分析法能准确识别藏嵩草和小嵩草优势种,取得了较好的精度。为高光谱遥感草地监测提供了有力依据。

Using Hyperspectral Data to Determine Spectral Characteristics of Grassland Vegetation in Central and Eastern Parts of Three-river Source

Grasslands not only support animal production,but also play an important role as an ecological safety barrier and they maintain herders’ livelihood as well as inherited culture.However,a series of ecological problems are becoming more and more serious because of increasing grassland degradation.Monitoring the ecological status of grassland in real-time and accurately is important.The spectral characteristics of the common grasses in central and eastern part of the Three River Source were analyzed by measuring spectral data of various plants.The spectral reflectance curve of grassland vegetation was processed by methods of first\|order differential,continuum removing and normalized differential ratio to extract the spectral characteristics of typical grassland vegetation.Dominant species of Kobresia tibetica and Kobresia parva were identified with high precision through spectral analysis,which provides the strong basis of applying hyperspectral remote sensing in grassland monitoring.