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基于NDVI的福建省植被变化特征分析
引用本文:罗文玮,赖日文,陈思雨,谢雪莉,应兴亮.基于NDVI的福建省植被变化特征分析[J].福建林学院学报,2016(2):141-147.
作者姓名:罗文玮  赖日文  陈思雨  谢雪莉  应兴亮
作者单位:福建农林大学林学院,福建 福州,350002
基金项目:福建农林大学森林经理学科建设横向科研项目( KY0180081)。
摘    要:运用中等分辨率成像光谱仪( MODIS)遥感植被指数数据,利用趋势线分析法和小波分析方法对福建省近年来的植被覆盖时空变化规律进行分析。结果表明:福建省近11 a来整体植被覆盖较好较稳定,但沿海人口较密集、城镇建设拓展较快的区域及沿海的岛屿植被覆盖较低;归一化比值植被指数( NDVI)最高值出现在8-9月,最低值出现在3月;时间尺度为12个月的年内生长季与非生长季NDVI值变化最明显;福建省年平均NDVI值、生长季平均NDVI值、非生长季平均NDVI值在2003年之前呈增长趋势,之后转为下降趋势,2005年总体上达到最低值,随后缓慢上升;福建省植被增加显著的区域是龙岩西北部、漳州东南部及莆田中部,植被覆盖状况显著变差区域是福州市区、莆田、泉州、厦门沿海城镇区域。

关 键 词:NDVI  变化趋势  小波分析  相关分析

Analysis of vegetation variation characteristics in Fujian based on NDVI
Abstract:Remote-sensing vegetation indices from moderate resolution imaging spectroradiometer, moderate resolution imaging spectroradiometer ( MODIS ) , trendline analysis and wavelet analysis were applied to deal with the temporal-spatial dynamics of vegetation in Fujian in recent years. It was concluded that generally the vegetation coverage was good and stable in Fujian in recent 11 years, but in the population-density sea-coastal areas, rapid urbanization areas and islands there was poor vegetation. The highest value of normal difference vegetation index, normal difference vegetation index ( NDVI) appeared in August and September, and the lowest value appeared in March. Growing season and non-growing season of NDVI with the duration of 12 months within a year had the most significant variation. Annual average NDVI value in Fujian, growing season average NDVI value, and non-growing season average NDVI value tended to increase before 2003, followed by declining, and reached the lowest generally in 2005, followed by gradual increasing again. The areas where vegetation increased remarkably in Fujian were northwest Longyan, southeast Zhangzhou and central Putian, while the areas where vegetation decreased remarkably were urban Fuzhou, and sea-coastal urban areas of Putian, Quanzhou and Xiamen.
Keywords:normal difference vegetation index ( NDVI)  change tendency  wavelet analysis  correlation analysis
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