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FOREST RESOURCES WANAGEMENT ›› 2012, Vol. 0 ›› Issue (6): 87-91.

• Science and Technology • Previous Articles     Next Articles

Assistant Classification Feature of Pinus yunnanensis in Shangrila Based on Remote Sensing Technology

ZHANG Chao, WANG Yan, YUAN Hua, DU Xiaoying, WU Yue   

  1. Southwest Forestry University,Kunming 650224,China
  • Received:2012-06-26 Revised:2012-08-17 Online:2012-12-28 Published:2020-11-27

Abstract: The assistant classification feature of Pinus yunnanensis in Shangrila was studied by using the data of forest management inventory in the year of 2006.The study was carried out including the aspects of spatial distribution characteristics,vegetation index characteristics,and pixel DN characteristics.This article is aimed at putting forward some suggestions on the classification of Pinus yunnanensis based on remote sensing technology.

Key words: spatial distribution, vegetation index, pixel DN, Pinus yunnanensis

CLC Number: