论文部分内容阅读
植被物候是植被形态上发生显著变化所对应的日期,遥感技术使区域物候监测成为可能,为大面积的估产、植被长势监测及灾害预报等提供依据。MODIS提供的高质量植被指数能准确反映植被的季节性变化规律。本文利用MODIS 2004年逐旬NDVI数据,通过Savizky-Golay滤波平滑处理,利用Logistic模型分两个阶段提取东北地区的植被物候参数,分别得到绿叶始期、绿叶末期、绿叶面积达到最大值持续时间三个重要物候指标。结果表明MODIS数据能较准确模拟区域植被物候参数。
The vegetation phenology is a date corresponding to the significant change of the vegetation morphology. Remote sensing technology makes it possible to monitor the phenology of the area, providing the basis for large area estimation, vegetation growth monitoring and disaster prediction. MODIS provides high-quality vegetation index can accurately reflect the seasonal variation of vegetation. In this paper, MODIS 2004 NDVI data was used, and the Savizky-Golay filtering smoothing was used. The Logistic model was used to extract the phenological parameters in Northeast China in two stages. The green leaf period, the green leaf area and the green leaf area reached the maximum duration of three Important phenological indicators. The results show that MODIS data can accurately simulate regional vegetation phenology parameters.