| 泰安市区不透水面覆盖度遥感估算研究 |
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| 引用本文： | 姜增琛,张继贤,梁勇,林祥国.泰安市区不透水面覆盖度遥感估算研究[J].测绘科学,2017,42(5). |
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| 作者姓名： | 姜增琛 张继贤 梁勇 林祥国 |
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| 作者单位： | 1. 山东农业大学 信息科学与工程学院,山东 泰安 271018;中国测绘科学研究院 摄影测量与遥感研究所,北京 100830;2. 国家测绘产品质量检验测试中心,北京,100830;3. 山东农业大学 信息科学与工程学院,山东 泰安,271018;4. 中国测绘科学研究院 摄影测量与遥感研究所,北京,100830 |
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| 基金项目： | 中央级公益性科研院所基本科研业务费项目 |
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| 摘 要： | 区域不透水面覆盖度是该区域城镇化程度、生态环境状况的重要指示因子。针对传统线性混合像元分解丰度图经常出现负值或者大于1的情况,采用完全约束最小二乘混合像元分解方法,利用泰安市市区Landsat8 OLI遥感影像提取了其不透水面分布状况,运用高分辨率遥感影像随机采样进行了精度检验,并对该区域不透水面空间特征进行了分析。结果表明:该文方法对泰安市市区不透水面分布提取的精度较高;植被、水体、高和低反照率不透水面4种光谱端元的线性组合,可以较好地模拟OLI影像的波谱特征;高、低反照率不透水面两种光谱端元可以很好地表达泰安市市区不透水面信息。
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| 关 键 词： | 不透水面 线性光谱混合分解 端元 遥感 |
Remote sensing estimation of impervious surface coverage in urban area of Taian city |
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| JIANG Zengchen,ZHANG Jixian,LIANG Yong,LIN Xiangguo.Remote sensing estimation of impervious surface coverage in urban area of Taian city[J].Science of Surveying and Mapping,2017,42(5). |
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| Authors: | JIANG Zengchen ZHANG Jixian LIANG Yong LIN Xiangguo |
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| Abstract: | The impervious surface abundance is an important indicator of the degree of urbanization and the condition of ecological environment in the region.In order to solve the problems that the data is usually less than zero or greater than one in abundance map,the mixed pixel decomposition method of fully constrained least squares was used in this paper,then the distribution conditions of the impervious surface were extracted by Landsat8 OLI remote sensing data in Taian,in addition,high resolution remote sensing images were used to assess the accuracy randomly,and the spatial distribution of impervious surface was analyzed in the end.The results show that the accuracy of the methodology which was used to extract the impervious surface of Taian in this paper is high respectively;the linear combination of four kinds of spectral endmembers of water,vegetation,high albedo impervious surface and low albedo impervious surface can simulate the spectral features of OLI images well;the messages of impervious surface in the urban area of Taian can be expressed by spectral endmembers of high albedo impervious surface and low albedo impervious surface. |
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| Keywords: | impervious surface linear spectral mixture decomposition endmember remote sensing |
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