{"title":"基于GIS技术的生态保护区土地覆盖动态遥感监测","authors":"Wei Li, Chan Lu, Shilei Cao","doi":"10.1504/IJETM.2021.10038732","DOIUrl":null,"url":null,"abstract":"In order to overcome the problems of large image deviation and unsatisfactory details retention in traditional monitoring methods, a new remote sensing dynamic monitoring research of land cover in ecological protection area based on GIS technology was proposed. In this method, the combination of joint entropy and optimal index is used to analyse and collect remote sensing images. The geometric distortion is corrected by using the binary homogeneous polynomial correction transformation formula. According to the image enhancement, the invalid information of the image is removed, and the land cover type change is described. Finally, the prediction of land cover dynamic change in the future is completed by creating Markov model. The experimental results show that the accuracy of the land cover remote sensing image data obtained is high, the land cover monitoring rate is 73%, the pixel accuracy is more than 90%, and the edge information maintenance advantage is significant.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic remote sensing monitoring of land cover in ecological protection area based on GIS technology\",\"authors\":\"Wei Li, Chan Lu, Shilei Cao\",\"doi\":\"10.1504/IJETM.2021.10038732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to overcome the problems of large image deviation and unsatisfactory details retention in traditional monitoring methods, a new remote sensing dynamic monitoring research of land cover in ecological protection area based on GIS technology was proposed. In this method, the combination of joint entropy and optimal index is used to analyse and collect remote sensing images. The geometric distortion is corrected by using the binary homogeneous polynomial correction transformation formula. According to the image enhancement, the invalid information of the image is removed, and the land cover type change is described. Finally, the prediction of land cover dynamic change in the future is completed by creating Markov model. The experimental results show that the accuracy of the land cover remote sensing image data obtained is high, the land cover monitoring rate is 73%, the pixel accuracy is more than 90%, and the edge information maintenance advantage is significant.\",\"PeriodicalId\":13984,\"journal\":{\"name\":\"International Journal of Environmental Technology and Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Environmental Technology and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJETM.2021.10038732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJETM.2021.10038732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Dynamic remote sensing monitoring of land cover in ecological protection area based on GIS technology
In order to overcome the problems of large image deviation and unsatisfactory details retention in traditional monitoring methods, a new remote sensing dynamic monitoring research of land cover in ecological protection area based on GIS technology was proposed. In this method, the combination of joint entropy and optimal index is used to analyse and collect remote sensing images. The geometric distortion is corrected by using the binary homogeneous polynomial correction transformation formula. According to the image enhancement, the invalid information of the image is removed, and the land cover type change is described. Finally, the prediction of land cover dynamic change in the future is completed by creating Markov model. The experimental results show that the accuracy of the land cover remote sensing image data obtained is high, the land cover monitoring rate is 73%, the pixel accuracy is more than 90%, and the edge information maintenance advantage is significant.
期刊介绍:
IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.