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基于RS与GIS的伏牛山区植被NDVI时空变化分析

Analysis of Spatio-temporal Changes of Vegetation NDVI in Funiu Mountain Area Based on RS and GIS
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摘要 基于2000—2017年MODIS-NDVI数据集,在MRT、ArcGIS、SPSS等软件的辅助下,采用最大值合成法、均值法、一元线性回归法来分析近18年来伏牛山区植被NDVI时空变化特征。结果表明:2000—2017年伏牛山区植被NDVI呈增长趋势,增长率为0.024/10 a(P<0.05),其中秋季植被NDVI的增加速率(0.042/10 a)最为显著,明显高于春季(0.018/10 a,P<0.05),表明在全球变暖背景下,伏牛山区植被变化情况表现为生长季的延长趋势强于生长季的提前趋势。从空间上来看,伏牛山植被覆盖状况较好,大部分地区植被NDVI都在0.4~0.8,所占比例达到97.03%,高值区主要分布在中西部海拔较高的山区,低值区零星地分布在研究区南部、东部和北部的城镇中心。 Based on the MODIS-NDVI data set of vegetation in Funiu Mountain Area from 2000 to 2017,with the help of MRT,ArcGIS,SPSS and other software,the spatial and temporal variation characteristics of vegetation NDVI in Funiu Mountain Area in recent 18 years were analyzed by using the maximum value synthesis method,mean value method and univariate linear regression method.The results showed that:from 2000 to 2017,the vegetation NDVI in Funiu Mountain area showed an increasing trend,with the growth rate of 0.024/10 a(P<0.05).The growth rate of vegetation NDVI in autumn(0.042/10 a)was the most significant,which was significantly higher than that in spring(0.018/10 a,P<0.05),indicating that under the background of global warming,the vegetation change in Funiu Mountain area showed that the extension trend of growing season was stronger than the advance trend of growing sea⁃son.Spatially,the vegetation coverage of Funiu Mountain is good.The NDVI of most areas is between 0.4 and 0.8,ac⁃counting for 97.03%.The high-value areas are mainly distributed in the high-altitude mountainous areas in the cen⁃tral and western regions,and the low-value areas are scattered in the urban centers in the south,east and north of the study area.
作者 禹倩业 张静静 高莎 YU Qianye;ZHANG Jingjing;GAO Sha(College of Geography and Tourism,Zhengzhou Normal University,Zhengzhou Henan 450044)
出处 《河南科技》 2021年第1期144-146,共3页 Henan Science and Technology
基金 郑州师范学院科研启动专项经费资助 河南省大学生创新创业训练计划项目(S202012949011)。
关键词 植被 MODIS-NDVI 时空变化 伏牛山区 vegetation MODIS-NDVI temporal and spatial variation Funiu Mountain
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