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合肥主城区时空动态变化多时相遥感监测(2000—2021)

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多时相遥感影像中城市地物物理性质和光谱反射率特征存在差异,为降低差异性对城市遥感监测精度的影响,提出了一种新型自动阈值城市指数模型,建立了模型的定性和定量验证,其总体精度(overall accuracy,OA)比典型城市指数模型平均高16.54%,Kappa系数为0.86.利用该指数模型,实现了合肥主城区2000—2021年时空变化遥感监测,逐年分析了城市扩张特征,建立5年间隔的时空变化特征分析,其结果表明:合肥主城区城市扩张净增了376.7 km2(2000—2021),经历了4个发展期;城市空间变化主要集中在合肥市区西部、南部、东北、西南部;合肥主城区城市扩张与GDP和人口增长呈正相关,相关系数分别为0.93、0.92.
Multi-temporal Remote Sensing Monitoring of Spatio-Temporal Dynamics in the Central Downtown of Hefei (2000—2021)
To reduce the impact of differences in physical properties and spectral reflectance of urban features in multi-temporal remote sensing images on urban remote sensing mon-itoring accuracy,we propose a new automatic threshold urban index model. Through qualitative and quantitative verifica-tion,the overall accuracy of the index model is 16.54% high-er than that of the typical city index model,and the Kappa co-efficient is 0.86. We establish a remote sensing monitoring of the spatio-temporal changes on Hefei urban area from 2000 to 2021 with this index model,analyze the characteristics of ur-ban sprawl year by year,and reveal the spatio-temporal change characteristics of 5-year intervals. The urban expan-sion of Hefei urban area increased by 376.7 km2(2000—2021),which experienced four development periods. The ur-ban spatial changes are mainly concentrated in the west,south,northeast and southwest of Hefei. The expansion of Hefei urban area is positively correlated with GDP and popula-tion growth,with correlation coefficients of 0.93 and 0.92,respectively.

urban sprawlspatio-temporal changesmulti-temporalremote sensing monitoring

王玉亮、张亚丽、王妮、邵振峰

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滁州学院多维空间智能感知与城市生态遥感应用研究中心,安徽滁州,239000

武汉大学测绘遥感信息工程国家重点实验室,湖北武汉,430079

城市扩张 时空变化 多时相 遥感监测

武汉大学测绘遥感信息工程国家重点实验室开放研究基金安徽省高校优秀青年骨干人才基金安徽省高校科学研究重点基金安徽省高校科学研究重点基金滁州市科技计划项目

21R04gxgnfx20211502022AH051192022-YF1072021ZD014

2024

测绘地理信息
武汉大学

测绘地理信息

CSTPCD
影响因子:0.563
ISSN:1007-3817
年,卷(期):2024.49(3)
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