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.
HyperspectralGrass species recognitionSpectral characteristicsCentral and Eastern parts of Three-river Source
NETL
NSTL
万方数据
维普
