摘要
针对相关分析在研究气象因子对植被影响时系统性不强的问题,该文以2009—2016年贵州省EVI时序数据和34个气象站点的观测数据为依据,采用偏最小二乘方法分析了各气象因子对EVI的影响程度。结果表明:当月的水汽压和温度以及前推一月的降水、水汽压和温度是贵州植被变化的关键因素,而前推一月日照和当月降水对植被变化的影响不显著。气象因子对EVI影响的空间差异表明:降水主要影响贵州西部、南部和西南部地区,日照主要影响东南部地区,而水汽压和温度则影响贵州全境。
Aiming at the problem that the influence of meteorological factors on vegetation by correlation analysis was not systematic,the paper analyzed the influence of each meteorological factor on EVI by the partial least squares method based on the EVI time series data and the observation data of 34meteorological sites in Guizhou Province from 2009to 2016.The results showed that both water vapor pressure and temperature of this month,as well as precipitation,water vapor pressure and temperature of last month,were the key factors of vegetation change in Guizhou,while the influence of last month’s sunshine and precipitation of this month were not significant.The spatial difference on the influence of meteorological factors on EVI indicated that precipitation mainly affected the western,southern and southwest regions of Guizhou,sunshine mainly affected the southeast region,and water vapor pressure and temperature affected the whole of Guizhou.
作者
张亚利
李爱心
高攀
ZHANG Yali;LI Aixin;GAO Pan(School of Civil Engineering,Chongqing University,Chongqing 400045,China)
出处
《测绘科学》
CSCD
北大核心
2019年第12期158-161,183,共5页
Science of Surveying and Mapping
基金
国家自然科学基金项目（41604023）
关键词
增强型植被指数
偏最小二乘
植被变化
贵州省
enhanced vegetation index
partial least squares
vegetation changes
Guizhou Province
