{"title":"Stability of the MIRAS amplitude calibration","authors":"I. Corbella, F. Torres, N. Duffo, M. Martín-Neira","doi":"10.1109/MICRORAD.2012.6185235","DOIUrl":null,"url":null,"abstract":"Efficient methods to characterize and mitigate long-and short- term drifts in SMOS data have been developed after careful analysis of the external and internal calibration parameters and by accurate modeling of the individual receiver front-ends. A method to characterize this drift has been successfully developed and used to reduce the measured antenna temperature variations.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICRORAD.2012.6185235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Efficient methods to characterize and mitigate long-and short- term drifts in SMOS data have been developed after careful analysis of the external and internal calibration parameters and by accurate modeling of the individual receiver front-ends. A method to characterize this drift has been successfully developed and used to reduce the measured antenna temperature variations.