摘要
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。
Vegetation phenology was corresponding to the date of obvious change of vegetation. Regional vegetation phenology data were the basis for estimating the yield, monitoring vegetation growth and predicting disaster and so on. The objective of this paper was to establish a method of monitoring regional vegetation phenology based on MODIS. Data used in this research were 10-day composite NDVI from MODIS with 250m spatial resolution in 2004. Savitzky-Golay filter was used to smooth the multi-temporal NDVI data to eliminate noises. Through analyzing the vegetation of study area, three key plant phenological variables were selected, including the start of growing season, end of growing season, durative time of max coverage in growing season. The results showed that MODIS could monitor the regional vegetation phenophase.
出处
《土壤通报》
CAS
CSCD
北大核心
2009年第2期213-217,共5页
Chinese Journal of Soil Science
基金
青岛科技大学博士启动基金
农业部资源遥感与数字农业重点开放实验室开放课题(2006-07)资助
