%0 Journal Article
%T 基于时序MODIS NDVI数据的长汀县植被趋势特征研究<br>Vegetation trends research of Changting County based on time series of MODIS NDVI
%A 张
%A 莉
%A 陈芸芝
%A 汪小钦
%J 福州大学学报(自然科学版)
%D 2016
%R 10.7631/issn.1000-2243.2016.05.0661
%X 通过植被时序趋势特征的研究，分析长汀县植被趋势变化. 文中将2000-2013年MODIS NDVI数据作为数据源，采用回归和Sen+Mann-Kendall两种分析方法对长汀县植被趋势进行研究. 结果表明：两种方法在长汀县植被趋势分析的研究中有较好的空间一致性，在植被呈明显变化的区域差异仅0.44%. Sen+Mann-Kendall分析法有较好抗噪性和对数据分布无要求的优点，可以更好地应用在其他区域的植被时序趋势变化研究. 植被变化强度大的区域主要分布在长汀县中部；植被改善的区域主要分布在河田镇和三州乡，呈轻微退化趋势的植被分布在长汀县四周，植被变化强度范围为-0.01~-0.005.<br>The essay analyzed the trends of vegetation of Changting County by vegetation trends research. In this paper，regression analysis and Sen+Mann-Kendall analysis methods were used to study vegetation change trends in Changting County with MODIS NDVI data from 2000 to 2013. The results of the two methods show that high spatial consistency in vegetation change trends of Changting County，and the difference of the result is only 0.44% in the regions of vegetation obvious change. Sen＋Mann-Kendall has a strong strength of errors resistance and is not constrained by the data statistical distribution，which will be better applied in other regions. The regions of strong intensity mainly distributed in the center of Changting County. The regions showed vegetation improvement mainly distributed in Hetian Town and Sanzhou Town，and the vegetation with the range from -0.01 to -0.005 are around Changting County
%K MODIS NDVI 植被趋势 回归分析法 Sen+Mann-Kendall分析法 长汀县&lt
%K br&gt
%K MODIS normalized difference vegetation index vegetation trends regression analysis Sen+Mann-Kendall analysis Changting County
%U http://xbzrb.fzu.edu.cn/ch/reader/view_abstract.aspx?file_no=201605010&flag=1