Vegetation Information Extraction in the South Qinghai Plateau Using Phenology and Supervised Classification
基于植被物候特征与监督分类的青南高原信息提取

Because of wide ranges,complicated terrains and disparate climates,it is an important problem to increase the classification accuracy for vegetation information extraction in wide ranges.In this paper,it uses division processing and joins vegetation phonological knowledge reflected by NDVI series data and auxiliary information including DEM and GIS data into the supervised classification system to extract vegetation of South Qinghai Plateau.The classification accuracy has reached more than 83.3% by using the method mentioned above and achieved better classification results.It is reliable to help select training areas,using vegetation phonological knowledge,visual interpretation and DEM data and taking land-use data into account.It makes training areas more accurate and improves the accuracy.