Extraction of Crown Diameter Based on Large-scale Aerial Photographs
Based on 1 ： 2000 aerial photographs of Liangshui National Nature Reserve and permanent sample plots （PSPs） from forest resource inventory in 2009, the thematic images of Korean pine, larch, spruce and Amurfir were extracted respectively by the method of sub-pixel classification. In addition, crowns information of conifers in the over story were extracted by converting raster to vector and visual interpretation. On the assumption that the crown shape of conifer species was a circle, the crown diameters for each species were measured and the accuracy was validated by using field measured data from PSPs. A linear regression model between crown diameters extracted from the aerial photograph and the PSPs data was developed. Results show that the accuracy of crown diameter for Korean pine, larch, spruce and Amurfir is 83.50%, 84.35% and 82.26%, respectively, and the precision of prediction reaches to 83.6% , 81.46% and 83.57%, respectively.
sub-pixel classificationraster to vector conversioncrown diameter extractionconifer species
国家科技期刊平台
NSTL
万方数据
维普
