{"title":"利用自动无监督分类方法在地理信息系统中创建农业专题地图的方法","authors":"R. Stupen, Z. Ryzhok, N. Stupen, O. Stupen","doi":"10.1109/CSIT56902.2022.10000510","DOIUrl":null,"url":null,"abstract":"Thematic agricultural maps outside the settlement of Remeniv of the Zhovtantsi territorial community of Lviv region, with an area of 109.8 hectares, have been created. A thematic map of dangerous geological processes has been obtained using the vector analysis tool of unsupervised classification k-means clustering in the geoinformation system QGIS. The thematic map of the relief analysis of the agricultural land use model according to the slope steepness is displayed. Using the method of automatic unsupervised classification, the territory of agricultural land use is divided into 5 classes of arable land suitability according to the height and steepness of the slopes.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The method of creating agricultural thematic maps in geoinformation systems using the method of automatic unsupervised classification\",\"authors\":\"R. Stupen, Z. Ryzhok, N. Stupen, O. Stupen\",\"doi\":\"10.1109/CSIT56902.2022.10000510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thematic agricultural maps outside the settlement of Remeniv of the Zhovtantsi territorial community of Lviv region, with an area of 109.8 hectares, have been created. A thematic map of dangerous geological processes has been obtained using the vector analysis tool of unsupervised classification k-means clustering in the geoinformation system QGIS. The thematic map of the relief analysis of the agricultural land use model according to the slope steepness is displayed. Using the method of automatic unsupervised classification, the territory of agricultural land use is divided into 5 classes of arable land suitability according to the height and steepness of the slopes.\",\"PeriodicalId\":282561,\"journal\":{\"name\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIT56902.2022.10000510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The method of creating agricultural thematic maps in geoinformation systems using the method of automatic unsupervised classification
Thematic agricultural maps outside the settlement of Remeniv of the Zhovtantsi territorial community of Lviv region, with an area of 109.8 hectares, have been created. A thematic map of dangerous geological processes has been obtained using the vector analysis tool of unsupervised classification k-means clustering in the geoinformation system QGIS. The thematic map of the relief analysis of the agricultural land use model according to the slope steepness is displayed. Using the method of automatic unsupervised classification, the territory of agricultural land use is divided into 5 classes of arable land suitability according to the height and steepness of the slopes.