{"title":"基于地下储气库雷达干涉测量的周期性空间时间序列三维可视化","authors":"J. Struhár, P. Rapant","doi":"10.31490/9788024846026-9","DOIUrl":null,"url":null,"abstract":"Radar interferometry is a powerful tool for monitoring terrain movement, for example, above the underground gas storage facility. Radar interferometry results in a relatively large volume of data describing the time evolution of permanent scatterers distributed in space. For their analysis, it is necessary to find a suitable method that well supports visual analytics. Due to the main characteristics of these time series, which are the length and annual periodicity caused by the cyclical injection/withdrawal of natural gas, spiral graphs have proved to be a suitable means. The article shows both the visualisation of an individual time series and the visualisation of time series generated for clusters of nearby and similarly behaving points above the map.","PeriodicalId":419801,"journal":{"name":"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D Visualisation of Periodic Spatial Time Series from Radar Interferometry Measurements over Underground Gas Storage\",\"authors\":\"J. Struhár, P. Rapant\",\"doi\":\"10.31490/9788024846026-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radar interferometry is a powerful tool for monitoring terrain movement, for example, above the underground gas storage facility. Radar interferometry results in a relatively large volume of data describing the time evolution of permanent scatterers distributed in space. For their analysis, it is necessary to find a suitable method that well supports visual analytics. Due to the main characteristics of these time series, which are the length and annual periodicity caused by the cyclical injection/withdrawal of natural gas, spiral graphs have proved to be a suitable means. The article shows both the visualisation of an individual time series and the visualisation of time series generated for clusters of nearby and similarly behaving points above the map.\",\"PeriodicalId\":419801,\"journal\":{\"name\":\"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31490/9788024846026-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31490/9788024846026-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D Visualisation of Periodic Spatial Time Series from Radar Interferometry Measurements over Underground Gas Storage
Radar interferometry is a powerful tool for monitoring terrain movement, for example, above the underground gas storage facility. Radar interferometry results in a relatively large volume of data describing the time evolution of permanent scatterers distributed in space. For their analysis, it is necessary to find a suitable method that well supports visual analytics. Due to the main characteristics of these time series, which are the length and annual periodicity caused by the cyclical injection/withdrawal of natural gas, spiral graphs have proved to be a suitable means. The article shows both the visualisation of an individual time series and the visualisation of time series generated for clusters of nearby and similarly behaving points above the map.