{"title":"运行卫星监测城市范围内的植被和水体","authors":"D. Mozgovoy","doi":"10.36023/ujrs.2018.17.123","DOIUrl":null,"url":null,"abstract":"A technique for the operational monitoring of vegetation and water objects in the territory of cities by satellite images of ultrahigh spatial resolution of the visible and IR ranges is proposed. In the process of processing multispectral images from the satellite DubaiSat-2, vector layers of recognized vegetation and water objects were obtained. The analysis of the results of the automated processing of satellite images showed a sufficiently high accuracy of distinguishing the boundaries of recognized objects and a good separation of classes. The developed methodology allows to significantly increase the efficiency and reliability of updating maps of large cities while reducing financial costs. Due to the high degree of automation, the proposed methodology can be implemented in the form of a geoinformation web service, functioning in the interests of a wide range of users.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Operational satellite monitoring vegetation and water objects in the territory of cities\",\"authors\":\"D. Mozgovoy\",\"doi\":\"10.36023/ujrs.2018.17.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A technique for the operational monitoring of vegetation and water objects in the territory of cities by satellite images of ultrahigh spatial resolution of the visible and IR ranges is proposed. In the process of processing multispectral images from the satellite DubaiSat-2, vector layers of recognized vegetation and water objects were obtained. The analysis of the results of the automated processing of satellite images showed a sufficiently high accuracy of distinguishing the boundaries of recognized objects and a good separation of classes. The developed methodology allows to significantly increase the efficiency and reliability of updating maps of large cities while reducing financial costs. Due to the high degree of automation, the proposed methodology can be implemented in the form of a geoinformation web service, functioning in the interests of a wide range of users.\",\"PeriodicalId\":113561,\"journal\":{\"name\":\"Ukrainian journal of remote sensing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ukrainian journal of remote sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36023/ujrs.2018.17.123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ukrainian journal of remote sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36023/ujrs.2018.17.123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Operational satellite monitoring vegetation and water objects in the territory of cities
A technique for the operational monitoring of vegetation and water objects in the territory of cities by satellite images of ultrahigh spatial resolution of the visible and IR ranges is proposed. In the process of processing multispectral images from the satellite DubaiSat-2, vector layers of recognized vegetation and water objects were obtained. The analysis of the results of the automated processing of satellite images showed a sufficiently high accuracy of distinguishing the boundaries of recognized objects and a good separation of classes. The developed methodology allows to significantly increase the efficiency and reliability of updating maps of large cities while reducing financial costs. Due to the high degree of automation, the proposed methodology can be implemented in the form of a geoinformation web service, functioning in the interests of a wide range of users.