{"title":"中国大连市时间序列遥感图像分析","authors":"S. Ogata, K. Kirimoto, M. Ide","doi":"10.1109/SICE.2002.1195719","DOIUrl":null,"url":null,"abstract":"We have long observed the changes of the Dalian areas using remotely sensed image time series from the point of view of human activities. We employ Landsat TM and ETM+ data to evaluate quantitatively the rate of progress due to its modernization in connection with weather and geographical conditions since such a research is still in an early stage of its development. The analysis by unsupervised classification techniques indicates a steady increase of land area and a steady decrease of vegetation in the Dalian areas irrespective of the difference of the methods. These facts show that the present approach gives us a measure of human activities.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Time series image analysis of Dalian, China by remote sensing\",\"authors\":\"S. Ogata, K. Kirimoto, M. Ide\",\"doi\":\"10.1109/SICE.2002.1195719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have long observed the changes of the Dalian areas using remotely sensed image time series from the point of view of human activities. We employ Landsat TM and ETM+ data to evaluate quantitatively the rate of progress due to its modernization in connection with weather and geographical conditions since such a research is still in an early stage of its development. The analysis by unsupervised classification techniques indicates a steady increase of land area and a steady decrease of vegetation in the Dalian areas irrespective of the difference of the methods. These facts show that the present approach gives us a measure of human activities.\",\"PeriodicalId\":301855,\"journal\":{\"name\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2002.1195719\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2002.1195719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time series image analysis of Dalian, China by remote sensing
We have long observed the changes of the Dalian areas using remotely sensed image time series from the point of view of human activities. We employ Landsat TM and ETM+ data to evaluate quantitatively the rate of progress due to its modernization in connection with weather and geographical conditions since such a research is still in an early stage of its development. The analysis by unsupervised classification techniques indicates a steady increase of land area and a steady decrease of vegetation in the Dalian areas irrespective of the difference of the methods. These facts show that the present approach gives us a measure of human activities.