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基于高光谱遥感的京津冀地区植被分布规律及影响因素分析
引用本文:何腾飞,王秀兰,宋亚男.基于高光谱遥感的京津冀地区植被分布规律及影响因素分析[J].林业调查规划,2014,39(5):15-19.
作者姓名:何腾飞  王秀兰  宋亚男
作者单位:北京林业大学精准林业北京市重点实验室,北京,100083
基金项目:中央高校基本科研业务费专项资金项目
摘    要:以京津冀地区植被资源实测样地调查资料为基础,基于"3S"技术,结合气象数据、遥感数据对京津冀地区植被分布时空格局进行了研究。运用地理信息系统空间分析及数理统计等方法对可能造成植被分布现状的各因子进行分析,并研究各因子与植被分布之间的相关关系。最后借助ArcGIS软件得到京津冀地区植被分布区划图,为京津冀地区植被研究工作提供一定的决策支持。

关 键 词:高光谱遥感数据  植被分布  ArcGIS  NDVI  影响因子  分布格局  京津冀地区

Vegetation Distributional Pattern and Influence Factors Analysis in Beijing-Tianjin-Hebei Area based on Hyperspectral Remote Sensing
HE Teng-fei,WANG Xiu-lan,SONG Ya-nan.Vegetation Distributional Pattern and Influence Factors Analysis in Beijing-Tianjin-Hebei Area based on Hyperspectral Remote Sensing[J].Forest Inventory and Planning,2014,39(5):15-19.
Authors:HE Teng-fei  WANG Xiu-lan  SONG Ya-nan
Institution:(Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China)
Abstract:Based on the vegetation measurement data obtained in sample plot survey,the spatial and temporal pattern of vegetation distribution in Beijing-Tianjing-Hebei was analyzed by combining 3s technology,meteorological data and remote sensing data. By applying methods of geography information system spatial analysis and mathematical statistics,factors that may influence vegetation distribution were analyzed,so was the relation between these factors and the vegetation distribution. Finally vegetation distribution graph was derived from ArcGIS,which providing certain decision support for the vegetation research in Beijing-Tianjin-Hebei area.
Keywords:Hyperspectral Remote Sensing  vegetation distribution  ArcGIS  NDVI  influence factor  distribution pattern  Beijing-Tianjin-Hebei area
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