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香格里拉县云南松林遥感辅助识别特征研究
引用本文:张超,王妍,袁华,杜晓颖,吴悦.香格里拉县云南松林遥感辅助识别特征研究[J].林业资源管理,2012(6):87-91.
作者姓名:张超  王妍  袁华  杜晓颖  吴悦
作者单位:西南林业大学,昆明,650224
基金项目:国家自然科学基金项目,云南省教育厅科学研究基金项目"基于Hyperion的高光谱干旱遥感监测技术"
摘    要:以香格里拉县云南松林为研究对象,分别从云南松林的空间分布特征、植被指数特征和像元亮度特征三个方面,提取和归纳了云南松林的遥感辅助识别特征,旨在为今后的云南松林遥感分类识别提供方法借鉴。

关 键 词:空间分布  植被指数  像元亮度  云南松

Assistant Classification Feature of Pinus yunnanensis in Shangrila Based on Remote Sensing Technology
ZHANG Chao , WANG Yan , YUAN Hua , DU Xiaoying , WU Yue.Assistant Classification Feature of Pinus yunnanensis in Shangrila Based on Remote Sensing Technology[J].Forest Resources Management,2012(6):87-91.
Authors:ZHANG Chao  WANG Yan  YUAN Hua  DU Xiaoying  WU Yue
Institution:(Southwest Forestry University,Kunming 650224,China)
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.
Keywords:spatial distribution  vegetation index  pixel DN  Pinus yunnanensis
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