利用2005—2012年MODIS影像和TM影像的月均归一化差分植被指数(NDVI)时间序列数据以及神东矿区大柳塔地区气象数据,采用基于Loess算法的时间序列季节和趋势成分分解法(STL)、时滞互相关分析和改进后的残差分析等方法,探讨大柳塔地区2005—2012年植被NDVI随降雨和温度变化而变化的时间规律,以及植被NDVI因采矿等人类活动而变化的时间规律。结果表明:大柳塔地区植被NDVI对降雨和温度变化的响应滞后时间为1个月,与最近2个月降雨和的相关性最高;开采对植被NDVI具有负面影响,植被NDVI响应滞后时间短于1个月。
STL(season and trend decomposition using Loess) time sequence decomposition(locally weighted regressionscatter smoothing)method, time lag correlation analysis and modified residual analysis were performed of the MODIS images, the mean monthly NDVI(normalized difference vegetation index) time sequence data of TM images and the meteorological data of Daliuta of the Shendong Mining Area of the time period of 2005-2012, to explore laws of the temporal variation of vegetation NDVI in Daliuta with changes in precipitation and temperature during the period from 2005 to 2012 aswell as laws of temporal variation of vegetation NDVI in response to human activities, especially mining activities. Resultsshow that the vegetation NDVI in Daliuta responded one month behind the changes in precipitation and temperature, andwas the most closely related to rainfall of the past two months; coal mining did have some negative impacts on vegetationNDVI, which responded a bit less than one month later.