林业科学2012，Vol.48Issue(2)：54-62,9.
基于时间序列MODIS EVI数据的森林生长异常监测
Monitoring Forest Growth Disturbance Using Time Series MODIS EVI Data
摘要
Abstract
Forest growth is mainly currently monitored using in-situ measurements in northeast of China. To effectively monitor forest growth disturbance at large scale, we attempted to use remote sensing technique, particularly, time series MODIS data from 2004 to 2006. The annual time series of 8-day enhanced vegetation index ( EVI) dataset was generated and smoothed using a Savitzky-Golay filter. The EVI trajectory during growth season was simulated using a logistic model. From the simulated trajectory, the EVI area of growth season and annual EVI entropy were calculated. These two factors were combined to map the disturbance regions of forest growth. Finally, the disturbance regions were verified using a set of random samples. The result indicates that the disturbance points have distinctively higher entropy and lower peak. Some of these points also show abrupt EVI decline during the midseason of the peak phases or double peaks. This approach is demonstrated to be feasible for disturbance monitoring of forest growth.关键词
时间序列/MODIS EVI/生长季面积/熵/异常监测Key words
time series/MODIS EVI/growth season area/entropy/disturbance monitoring分类
农业科技引用本文复制引用
刘丽娟,庞勇,Zhang Xiaoyang,Svein Solberg,范文义,李增元,李明泽..基于时间序列MODIS EVI数据的森林生长异常监测[J].林业科学,2012,48(2):54-62,9.基金项目
国家自然科学基金(41071272) （41071272）
林业公益性行业科研专项(200804001.) （200804001.）
The Norwegian Research Council REMFOR Project （）
国防科工局专项项目(E0305/1112/01/01). （E0305/1112/01/01）
