顾昕 杨洁 高良敏

摘 要：为了探究植被NDVI变化特征及其对温度和降雨变化的响应，以安徽省为例，基于2013～2019年安徽省长时序MODIS-NDVI数据，分析了近7年安徽省NDVI的时空变化特征及其演变规律，同时结合不同降水和温度下NDVI变化特征进行了相关性分析。结果表明：安徽省7年间NDVI值在0.57至0.64之间，其与平均气温和年降雨呈正相关关系，且NDVI值与年降雨呈显著正相关的面积比例要大于与平均气温呈显著相关性的面积比例，空间分布存在明显差异。安徽省7年间NDVI值总体呈现增长趋势（R2=0.617 8），增长速率为0.003 87，夏季NDVI均值最高，植被覆盖度越来越优。皖西和皖南山区NDVI值较高，而江淮丘陵区NDVI值较低，主要与该地区人类活动频繁，植被破坏严重有关。

关键词：NDVI;时空变化;趋势分析;相关性分析

Abstract：In order to explore the change characteristics of NDVI and its response to the changes of temperature and rainfall， Anhui Province was taken as an example. This paper， based on the long-time-series MODIS-NDVI data of Anhui Province from 2013 to 2019， analyzes the temporal and spatial characteristics of NDVI and its evolutionary law in Anhui Province in the past 7 years， with the correlation analysis of the characteristics of NDVI changes under different precipitation and temperature. The results showed that the NDVI value of Anhui Province in the past 7 years was between 0.57 and 0.64， correlated with the average temperature and annual rainfall， and the proportion of the area with a significant positive correlation between the NDVI value and the annual rainfall was greater than that of the significant correlation with the average temperature. There were obvious differences in area ratio and spatial distribution. The NDVI value of Anhui Province showed an overall increasing trend （R2=0.617 8）in the past 7 years， the growth rate was 0.003 87， the average NDVI value in summer the highest， and the vegetation coverage getting better and better. The NDVI value was higher in the mountainous areas of western and southern Anhui， while the NDVI value of the Jianghuai hilly area lower， which was mainly related to the frequent human activities and serious vegetation destruction in this area.

Key words：NDVI; trend analysis; temporal and spatial variation; correlation analysis

植被是常见且重要的地球表面土地覆盖形式之一，对能量平衡、气候变化、水文变化以及生物化学循环有着重要影响，而且还能够维护生态平衡、促进地区可持续发展[1]。植被是一种有着明显的年际变化特点和季节变化特点的敏感性指标，由气候因素和人为因素共同作用对环境产生影响[2]。隨着遥感观测技术的逐步发展，首先利用卫星遥感技术得到植被指数产品，进而进行植被监测及地表覆盖情况变化分析的这类研究愈来愈多，植被指数早已广泛应用于生态环境研究等领域[3]。到目前为止已经使用过的植被指数达到几十种，其中包括：

比值植被指数（Ratio Vegetation Index，RVI）、归一化植被指数（Normalized Differential Vegetation Index，NDVI）、改进植被指数（Agriculture Vegetation Index，AVI）等，在这几十种植被指数中，NDVI的应用最为广泛[4]。……