{"title":"A novel approach for calculating the internal layers of snowpacks using a S-band radar","authors":"P. Espín-López, M. Pasian","doi":"10.23919/EuMC54642.2022.9924336","DOIUrl":null,"url":null,"abstract":"In the last years, the development of new ground-based techniques for studying the snowpack has tried to fill the gap between satellite and manual techniques. In particular, ground-based radars are considered a very useful technology for their ability to sound relatively deep snowpacks in a non-destructive way. Obtaining the bulk physical parameters of the snowpack (density, liquid water content…) has been successfully done using ground-based radars by several research groups, however, estimating the internal structure of the snowpack remains as a challenge due, mainly, to technological limitations. This work presents a novel quasi-automatic approach to estimate the internal structure of the snowpack, in terms of density and liquid water content (LWC), based in a double receiver S-band radar. The approach is validated with numerical simulations and the very first field results.","PeriodicalId":215592,"journal":{"name":"2022 52nd European Microwave Conference (EuMC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 52nd European Microwave Conference (EuMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EuMC54642.2022.9924336","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
In the last years, the development of new ground-based techniques for studying the snowpack has tried to fill the gap between satellite and manual techniques. In particular, ground-based radars are considered a very useful technology for their ability to sound relatively deep snowpacks in a non-destructive way. Obtaining the bulk physical parameters of the snowpack (density, liquid water content…) has been successfully done using ground-based radars by several research groups, however, estimating the internal structure of the snowpack remains as a challenge due, mainly, to technological limitations. This work presents a novel quasi-automatic approach to estimate the internal structure of the snowpack, in terms of density and liquid water content (LWC), based in a double receiver S-band radar. The approach is validated with numerical simulations and the very first field results.