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关中地区植被覆盖变化及其对气候因子的响应研究
引用本文:白文龙,张福平,倪海燕,刘焱序,刘宪锋.关中地区植被覆盖变化及其对气候因子的响应研究[J].农业现代化研究,2013,34(1):104-108.
作者姓名:白文龙  张福平  倪海燕  刘焱序  刘宪锋
作者单位:陕西师范大学旅游与环境学院;西安交通大学人居环境与建筑工程学院
基金项目:中国博士后基金项目(编号:2011M501496);陕西师范大学中央高校基本科研业务费专项资金项目(编号:GK201101002);陕西师范大学优秀科技预研项目(编号:200902005)
摘    要:基于1999-2010年SPOT NDVI数据,采用NDVI均值法、趋势分析法以及相关分析法对关中地区植被覆盖时空变化及其与气温和降水的关系进行分析。结果表明:关中地区大部分区域植被覆盖良好,其中秦岭北坡NDVI值最高,城市中心区NDVI值最低,1999-2010年间年均NDVI值在整体上呈上升趋势,增速为5%/10a;植被覆盖轻度改善的区域面积占关中地区总面积的70.39%,基本不变区域占24.77%,表明关中地区植被覆盖呈稳中有升的趋势;关中地区植被覆盖变化对气温、降水量的响应良好,大部分区域呈现正相关性。

关 键 词:关中地区  SPOT  NDVI  植被覆盖变化  气候因子  遥感

Analyzing Dynamic Vegetation Change and Its Response to Climatic Factors in Guanzhong Plain,China
BAI Wen-long,ZHANG Fu-ping,NI Hai-yan,LIU Yan-xu and LIU Xian-feng.Analyzing Dynamic Vegetation Change and Its Response to Climatic Factors in Guanzhong Plain,China[J].Research of Agricultural Modernization,2013,34(1):104-108.
Authors:BAI Wen-long  ZHANG Fu-ping  NI Hai-yan  LIU Yan-xu and LIU Xian-feng
Institution:1(1.College of Tourism and Environment,Shaanxi Normal University,Xi’an,Shaanxi 710062,China;2.School of Human Settlement and Civil Engineering,Xi’an Jiaotong University,Xi’an,Shaanxi 710049,China)
Abstract:Vegetation cover changes in Guanzhong Plain in 1999-2010 were analyzed by using SPOT NDVI data. Maximum value composites, mean value analysis and linear regression analysis were used to characterize the vegetation cover change in Guanzhong Plain, and the data of the yearly-averaged temperature and annual precipitation were employed to deduce the correlation coefficient between Normalized Difference Vegetation Index (NDVI) and temperature /precipitation based on correlation analysis. The results suggest that the situation of vegetation cover is good in most region of Guanzhong Plain, the value of NDVI is highest in the northern slope of Qingling Mountain and lowest in urban; In general, the yearly mean NDVI increased over 1999 to 2010 at a rate of 5%/10a. The proportion of slight increased areas is 70.39%, 24.77% is keeping stable basically which show that the vegetation cover in Guanzhong Plain had been steady rising; The response of the changing NDVI to temperature /precipitation is good, positive correlation between NDVI and temperature /precipitation in most of the region is found.
Keywords:Guanzhong Plain  SPOT NDVI  dynamic vegetation change  climatic factors  remote sensing
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