Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang
{"title":"The method for rapid extraction of vegetation supply water index: Using HJ-1B satellite data","authors":"Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang","doi":"10.1109/Geoinformatics.2012.6270259","DOIUrl":null,"url":null,"abstract":"Featured by high resolution and broad bandwidth, HJ-1B satellite data have great potential and wide application in the research of surface temperature inversion. However, in China products generated from remote sensing index data are rare, and how to quickly make remote sensing data products is an important issue. In this study we designed a processing method for calculating the vegetation water supplying index data with ERDAS. The results showed that this model can work very well in many researches as it has high accuracy and efficiency.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2012.6270259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Featured by high resolution and broad bandwidth, HJ-1B satellite data have great potential and wide application in the research of surface temperature inversion. However, in China products generated from remote sensing index data are rare, and how to quickly make remote sensing data products is an important issue. In this study we designed a processing method for calculating the vegetation water supplying index data with ERDAS. The results showed that this model can work very well in many researches as it has high accuracy and efficiency.