Lin Hui, Xiong Yu-Jiu, Wan Ling-Feng, Mo Deng-Kui, Sun Hua
Research Centre of Remote Sensing and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Ying Yong Sheng Tai Xue Bao. 2007 Mar;18(3):581-5.
Based on MODIS images and by using the algorithm of maximum value composite (MVC), the monthly vegetation indices (VIs) in 2005 in Hunan Province were obtained. Through the analysis of the MODIS VIs, Hunan Province was divided into six districts to describe the spatial distribution of the VIs, and by using the monthly mean temperature and rainfall data collected from 5 climatic monitoring stations in this province, the temporal variation of the VIs was analyzed. The results showed that the spatial distribution of MODIS VIs was positively correlated with vegetation cover, and appeared regional characteristics. The MODIS VIs varied with season, and the curves of their monthly mean values were downwards opening quadratic parabolas, with the maximum appeared in July. The value of MODIS EVI was smaller than that of MODIS NDVI. MODIS VI was mainly affected by monthly mean temperature, but this effect was decreased with decreasing latitude. The variation pattern of MODIS EVI was more apparent than that of MODIS NDVI, i. e. , the quadratic parabola of MODIS EVI was smoother, going gradually from minimum to maximum and then going down, while that of MODIS NDVI had tiny fluctuations on both sides of the maximum point.
基于中分辨率成像光谱仪(MODIS)影像,运用最大值合成(MVC)算法获取了湖南省2005年的逐月植被指数(VI)。通过对MODIS植被指数的分析,将湖南省划分为六个区域来描述植被指数的空间分布,并利用该省5个气候监测站收集的月平均气温和降水量数据,分析了植被指数的时间变化。结果表明,MODIS植被指数的空间分布与植被覆盖呈正相关,并呈现出区域特征。MODIS植被指数随季节变化,其月均值曲线为开口向下的二次抛物线,最大值出现在7月。MODIS增强型植被指数(EVI)的值小于归一化植被指数(NDVI)。MODIS植被指数主要受月平均气温的影响,但这种影响随纬度降低而减小。MODIS增强型植被指数的变化模式比MODIS归一化植被指数更明显,即MODIS增强型植被指数的二次抛物线更平滑,从最小值逐渐上升到最大值然后下降,而MODIS归一化植被指数在最大值点两侧有微小波动。