利用2007～2009年的SPOT VEGETION NDVI数据来延长1982～2006年GIMMS（Glob-al Inventory Monitoring and Modeling Studies）NDVI数据,从而得到1982～2009年的NDVI数据,结合同时期的气象资料,利用经验模态分解方法（EMD）,对黑河流域季节合成植被指数（SINDVI）、气温以及降水序列的周期性进行了分析,并进一步分析了黑河上中下游NDVI和气温、降水之间的关系。结果表明：上游SINDVI与气温、降水均存在准3a和准6a的相似周期,中游SINDVI与气温存在准3a和准10a的相似周期,而与降水存在准3a、准6a、准8a和准15a的相似周期,下游SINDVI与气温存在准3a和准10a的相似周期,与降水存在准3a和准6a的相似周期。表明在黑河流域,气温和降水均是影响植被变化的重要因子,而气候因子的周期性变化主要受大气运动的影响,进而影响植被的周期变化。因此,EMD方法在分析植被动态的周期性特征及其与气象条件周期性的关系方面具有较好的效果。
Periodicity Analysis of NDVI Time Series and Its Relationship with Climatic Factors in the Heihe River Basin in China
Based on the protensive GIMMS NDVI data set and meteorological data during 1982~2009 in the Heihe River Basin,a novel multiple time-scale analysis method,Empirical Mode Decomposition（EMD）,is used to diagnose the periodicities of NDVI,air temperature and precipitation data.At the same time,the relationship among these three elements was performed.The results indicate that SINDVI,temperature and precipitation have the similar 3 and 10 year quasiperiodics in the upper reaches of the Heihe River Basin.SINDVI and temperature have the similar 3、10 year quasiperiodics,SINDVI and precipitation have the similar 3、6、8 and 15 year quasiperiodics in the middle reaches of the Heihe River Basin.In the meantime,in the lower reaches of the Heihe River,SINDVI and temperature have the similar 3 and 10 year quasiperiodics,SINDVI and precipitation have the similar 3 and 6 year quasiperiodics.It is indicated that the temperature and precipitation are both the factor affecting the vegetation in the Heihe River Basin.In addition,the EMD method can be effectively used to analyze the relationship between time-series data with the meteorological data.
NDVIEMDPeriodicity analysisClimatic factorThe Heihe River Basin
NETL
NSTL
万方数据
维普
