基于MODIS／EVI时间序列数据分析冰冻灾害对植被绿叶始期的影响

1数据和方法1．1研究区域介绍长江流域位于北纬24°27’-35°54’，东经90°13’-122°19’，南北跨11个纬度，东西距32个经度，呈东西长、南北短的流域平面形状。流域面积1800000hmz，约占全国国土面积的18．75％。由于其位置的特殊性及地形因素，长江流域是受拉尼娜现象影响最严重的地区。

Effects of Freezing Disaster on Green-up Date of Vegetation Using MODIS/EVI Time Series Data

In the field of global changes, the relationship between plant phenology and climate, which reflects the response of terrestrial ecosystem to global climate change, has become a key subject that is highly concerned. Using the moderate-resolution imaging spectroradiometer (MODIS)/enhanced vegetation index(EVI) collected every eight days during January- July from 2005 to 2008 and the corresponding remote sensing data as experimental materials, we constructed cloud-free images via the Harmonic analysis of time series (HANTS). The cloud-free images were then treated by dynamic threshold method for obtaining the vegetation phenology in green up period and its distribution pattern. And the distribution pattern between freezing disaster year and normal year were comparatively analyzed for revealing the effect of freezing disaster on vegetation phenology in experimental plot. The result showed that the treated EVI data performed well in monitoring the effect of freezing disaster on vegetation phenology, accurately reflecting the regions suffered from freezing disaster. This result suggests that processing of remote sensing data using HANTS method could well monitor the ecological characteristics of vegetation.