Evaluation on Spectral Endmember of Pinus yunnanensis Based on Landsat 8

Sixty-one sampling points of Pinus yunnanensis surrounding the main city of Kunming in Yunnan were investigated. Three representative sample plots were selected. Spectral endmember of P.yunnanensis were extracted based on Landsat 8 using Pixel Purity Index (PPI), Sequential Maximum Angle Convex Cone (SMACC) and geometric vertex from 1^st study plot. Then it has been used to do land cover classification for the 2^nd and 3^rd study plots. Comparison, analysis and evaluation of different endmember extraction method were done using the average filed data extraction as the true value in combination with Spectral Angle Mapper (SAM) results. Results showed that the 2^nd study plot: the overall accuracy of the classification results based on PPI, SMACC and geometric vertex is 85%, 35.00% and 85.00% respectively. The 3^rd study plot: the overall accuracy of the classification results based on PPI, SMACC and geometric vertex is 83.33%, 16.67% and 75.00% respectively. The average spectral curve of P.yunnanensis based on PPI endmember extraction, which could be used in the future endmember extraction and spectral mixture analysis based on Landsat 8, is more similar comparing with the ground truth data.