历史平均值法用于MODIS影像像元云补偿——以甘肃省为例  

Historical average method used in MODIS image pixel cloud compensation:Exemplified by Gansu Province

作　　者：陈宝林 张斌才[2] 吴静[1] 李纯斌[1] 常秀红 CHEN Baolin;ZHANG Bincai;WU Jing;LI Chunbin;CHANG Xiuhong(College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China;Gansu Geomatic Information Center, Lanzhou 730030, China)

机构地区：[1]甘肃农业大学资源与环境学院,兰州730070 [2]甘肃省基础地理信息中心,兰州730030

出　　处：《国土资源遥感》2021年第2期85-92,共8页Remote Sensing for Land & Resources

基　　金：甘肃农业大学科技创新基金-学科建设基金项目“基于时序数据的撂荒地时空演变研究——以靖远县为例”(编号:GAU-XKJS-2018-208);国家自然科学基金项目“基于定量遥感的中国草地综合顺序分类”(编号:31760693)共同资助。

摘　　要：卫星过境时云或雾的存在使得部分遥感影像存在阴影,从而直接影响影像质量以及地物信息的提取、判读及识别。首先对甘肃省2017年MODIS11A1数据进行统计,结果显示2017年的MOD11A1数据像元值存在很大程度的缺失,主要表现为遥感影像难以穿透云雾的遮挡而获取地物信息,从而使得影像像元值为0;基于物候节气为时间段探索对数据缺失值进行补偿,提出了历史平均值法;采用历史平均值法对数据进行补偿之后发现像元的有效利用率得到了大幅度的提升,影像信息基本反映了真实的地物信息,补偿结果满足了遥感影像的需求。When a satellite is in transit,the presence of clouds or fog will cause shadows on some remote sensing images,and this accordingly directly affects the quality of image and the extraction,interpretation and recognition of the feature information.The authors firstly counted the data of 2017 MODIS11A1 in Gansu Province,and found that the data pixels values of 2017 MODIS11A1 are void to a large extent.Mainly because it is difficult for the remote sensing image to penetrate the cloud to obtain the feature information,the image pixel value is 0.Then the authors explored and compensated the missing value based on the phenological solar term as the time period,proposing the method of historical average value.After using the historical average method to compensate the data,the authors found that the effective utilization ratio of pixels could be greatly improved.The image information basically reflects the real feature information,and the compensation result can meet the demand of remote sensing images.

关 键 词：像元云补偿 MODIS数据 物候 历史平均值法 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]