{"title":"利用Sentinel-1探测斯洛文尼亚阿尔卑斯山不同季节的积雪水平","authors":"David Jesenko, D. Mongus, Shuang Liu, M. Čekada","doi":"10.1109/ICESI.2019.8863012","DOIUrl":null,"url":null,"abstract":"The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents a dedicated space component of the European Copernicus Programme, committed to long-term operational services in the environment, climate and security. A huge amount of obtained data allows us different surveys. We decided to detect changes in the snow cover in the Julian Alps at the different seasons. The differences have been calculated using Sentinel-1 images from each season period. The presented methodology consist of five main steps, where the most important step is the calculation of Differential SAR Interferometry (DInSAR). By doing this, we found out how the thickness of the snow changes during the seasons. As demonstrated by the results, the presented approach is suitable for detection of snow level changes.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of snow levels in the Slovenian Alps at different seasons using Sentinel-1\",\"authors\":\"David Jesenko, D. Mongus, Shuang Liu, M. Čekada\",\"doi\":\"10.1109/ICESI.2019.8863012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents a dedicated space component of the European Copernicus Programme, committed to long-term operational services in the environment, climate and security. A huge amount of obtained data allows us different surveys. We decided to detect changes in the snow cover in the Julian Alps at the different seasons. The differences have been calculated using Sentinel-1 images from each season period. The presented methodology consist of five main steps, where the most important step is the calculation of Differential SAR Interferometry (DInSAR). By doing this, we found out how the thickness of the snow changes during the seasons. As demonstrated by the results, the presented approach is suitable for detection of snow level changes.\",\"PeriodicalId\":249316,\"journal\":{\"name\":\"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESI.2019.8863012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESI.2019.8863012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of snow levels in the Slovenian Alps at different seasons using Sentinel-1
The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents a dedicated space component of the European Copernicus Programme, committed to long-term operational services in the environment, climate and security. A huge amount of obtained data allows us different surveys. We decided to detect changes in the snow cover in the Julian Alps at the different seasons. The differences have been calculated using Sentinel-1 images from each season period. The presented methodology consist of five main steps, where the most important step is the calculation of Differential SAR Interferometry (DInSAR). By doing this, we found out how the thickness of the snow changes during the seasons. As demonstrated by the results, the presented approach is suitable for detection of snow level changes.