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摘要:
Taking Harare metropolitan province in Zimbabwe as an example, we classified Landsat imagery (1984, 2002, 2008 and 2013) by using support vector machines (SVMs) and analyzed built-up and non-built-up changes. The overall classification accuracy for the four dates ranged from 89% to 95%, while the overall kappa varied from 86% to 93%. The results demonstrate that SVMs provide a cost-effective technique for mapping urban land use/cover by using mediumresolution satellite images such as Landsat. Based on land use/cover maps for 1984, 2002, 2008 and 2013, along with change analyses, built-up areas increased from 12.6% to 36.3% of the total land area, while non-built-up cover decreased from 87.3% to 63.4% between 1984 and 2013. The results revealed an urban growth process characterized by infill, extension and leapfrog developments. Given the dearth of spatial urban growth information in Harare metropolitan province, the land use/cover maps are valuable products that provide a synoptic view of built-up and non-built-up areas. Therefore, the land use/cover change maps could potentially assist decision-makers with up-to-date built-up and non-built-up information in order to guide strategic implementation of sustainable urban land use planning in Harare metropolitan province.
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篇名 Monitoring Urban Spatial Growth in Harare Metropolitan Province, Zimbabwe
来源期刊 遥感技术进展(英文) 学科 医学
关键词 Harare METROPOLITAN PROVINCE Zimbabwe URBANIZATION Support VECTOR Machines (SVMs) Urban SPRAWL
年,卷(期) ygjsjzyw_2013,(4) 所属期刊栏目
研究方向 页码范围 322-331
页数 10页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
Harare
METROPOLITAN
PROVINCE
Zimbabwe
URBANIZATION
Support
VECTOR
Machines
(SVMs)
Urban
SPRAWL
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
遥感技术进展(英文)
季刊
2169-267X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
148
总下载数(次)
0
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