Extraction Method of Stand Density Based on High-Resolution Remote Sensing Imagery

Abstract In this paper, a stand density extraction method is proposed based on QuickBird high-resolution satellite image data of Baisha artificial forest farm in Minhou, Fujian. Firstly, through the analysis band canopy panchromatic, it known that there maximum reflectivity point canopy. Then, vegetation-covered area was extracted by normalized difference vegetation index ( NDVI ). The decision tree classification algorithm. texture information and spectral were comprehensively utilized to classify images. number trees filtering method, calculated produce map. experiment verified can meet needs survey.