Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Journal of Spatial Science Pub Date : 2024-07-18 DOI:10.1080/14498596.2024.2378362

Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga

引用次数: 0

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...

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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

监测并提供准确的土地利用和土地覆被 (LULC) 变化信息对于可持续环境规划至关重要。这项研究利用 2002 年至 2022 年的大地遥感卫星（Landsat）图像来创建最新的土地利用和土地覆被信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Spatial Science 地学-地质学

CiteScore

5.00

自引率

5.30%

发文量

审稿时长

>12 weeks

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.