{"title":"预测 eThekwini 市的土地利用和土地覆被变化动态：利用大地遥感卫星图像的机器学习方法","authors":"Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga","doi":"10.1080/14498596.2024.2378362","DOIUrl":null,"url":null,"abstract":"Monitoring and providing accurate land use and land cover (LULC) change information is vital for sustainable environmental planning. This study used Landsat imagery from 2002 to 2022 to create upda...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"33 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery\",\"authors\":\"Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga\",\"doi\":\"10.1080/14498596.2024.2378362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring and providing accurate land use and land cover (LULC) change information is vital for sustainable environmental planning. This study used Landsat imagery from 2002 to 2022 to create upda...\",\"PeriodicalId\":50045,\"journal\":{\"name\":\"Journal of Spatial Science\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Spatial Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/14498596.2024.2378362\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spatial Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/14498596.2024.2378362","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery
Monitoring and providing accurate land use and land cover (LULC) change information is vital for sustainable environmental planning. This study used Landsat imagery from 2002 to 2022 to create upda...
期刊介绍：
The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers.
Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes.
It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.
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