| 城市不透水面遥感估算 |
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| 引用本文： | 杨凯文.城市不透水面遥感估算[J].现代测绘,2012,35(3):11-14. |
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| 作者姓名： | 杨凯文 |
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| 作者单位： | 河海大学测绘科学与工程系,江苏南京,210098 |
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| 摘 要： | 由于人口快速增长和农村人口向城市迁移,城市不透水面积也在持续快速增长。加速的城市扩张和无监控的城市开发会导致诸多生态环境问题。本文利用Landsat影像,采用附有限制条件的线性光谱混合分解、植被覆盖度与不透水面负相关模型、监督分类三种方法对南京城区的不透水表面分布进行空间分析。通过评估这三种方法提取的不透水面的精度和分析和种方法受其主要人为因素的影响大小以及不透水面的提取过程,表明了线性光谱混合分解方法较优。
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| 关 键 词： | 不透水面 遥感估算 线性光谱分解 植被覆盖度 监督分类 |
Remote Sensing Estimation of Urban Impervious Surface |
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| YANG Kai-wen.Remote Sensing Estimation of Urban Impervious Surface[J].Modern Surveying and Mapping,2012,35(3):11-14. |
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| Authors: | YANG Kai-wen |
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| Institution: | YANG Kai-wen(Department of Geomatics,Hohai University,Nanjing Jiangsu 210098,China) |
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| Abstract: | As urban population grows rapidly and rural population migrates into city,urban impervious area expands fast.Extra development and no monitoring development can lead to many ecological environment problems.In this paper,based on Landsat TM imagery in Nanjing,using three methods to evaluate impervious surface: spectral mixture analysis by linear mixture model,negative correlation between vegetation coverage and impervious surface model,supervised classification.Assessing the accuracy of impervious surfaces extracted by these three methods,and analyzing the influence of their main human factors and the extraction process,the results indicated that spectral mixture analysis by linear mixture model is better. |
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| Keywords: | impervious surface remote selxsing estinaation linear spectral unmixing vegetation coverage supervised classification |
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