基于MODIS植被指数的气候平均研究  

Study on climate mean based on MODIS vegetation index

作　　者：纪翔 卢涵宇 赵天杰 吴松 卢天健 JI Xiang;LU Han-yu;ZHAO Tian-jie;WU Song;LU Tian-jian(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;School of Resources and Satety Engineering,Central South University,Changsha 410083,China)

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025 [2]中国科学院遥感与数字地球研究所,北京100101 [3]中南大学资源与安全工程学院,湖南长沙410083

出　　处：《广西大学学报（自然科学版）》2018年第3期1111-1117,共7页Journal of Guangxi University（Natural Science Edition）

基　　金：国家自然基面上项目(41673315);国家重点研发计划项目(2016YFFE0117300);贵州省自然科学基金资助项目([2017]2816;[2016]5604;[2015]3054;[2014]7633);贵州省留学人才项目([2015]1420);贵阳国家高新区人才项目([2014]012)

摘　　要：针对土壤水分的反演受植被覆盖影响较大的问题,使用MODIS的植被产品,通过剔除云、雨、雪等质量损害数据,在数据平均处理后使用线性插值的方法补偿,得到全球气候平均数据集。结果表明:NDVI植被指数随季节呈规律变化,在不同地区其变化规律不同。在单一像元内能准确反映不同像元NDVI植被指数在一年内的变化趋势,在全球像元内能描绘出植被的季节性变化规律,反映绿度的变化,满足了校正植被影响准确性的需求。In view of the problem that the inversion of soil moisture is greatly affected by vegetation coverage,using MODIS vegetation products. By eliminating the data of cloud,rain,snow and other quality damage data,the global climate mean data set is compensated by the linear interpolation method after the data average processing. The results showed that NDVI vegetation index changed regularly with seasons,and the change rule was different in different regions. The single pixel interior can accurately reflect the variation trend of the vegetation index of different pixel NDVI in one year. It can describe the seasonal variation of vegetation in the global pixel,reflect the change of green degree,and meet the need to correct the accuracy of vegetation influence.

关 键 词：MODIS植被指数 NDVI 植被覆盖 气候平均 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]