| 多时相Landsat影像的平原河网区不透水面信息提取方法与应用 |
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| 引用本文： | 周峰,廖钰冰,李娜.多时相Landsat影像的平原河网区不透水面信息提取方法与应用[J].测绘通报,2020,0(1):94. |
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| 作者姓名： | 周峰 廖钰冰 李娜 |
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| 作者单位： | 1. 盐城工学院环境科学与工程学院, 江苏 盐城 224051;2. 盐城工学院土木工程学院, 江苏 盐城 224051 |
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| 基金项目： | 国家自然科学基金（41401035；41701030） |
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| 摘 要： | 不透水面是衡量城市生态环境的重要指标，针对平原河网区不透水面与水体、裸土等地物较难区分的问题，以苏北里下河平原快速城镇化区为研究对象，利用多时相Landsat影像为数据源，基于像元光谱特征及其季节性变化分析，构建了基于时序NDWI、NDVI和NDBI的决策树模型，并利用GIS空间分析技术对不透水面的时空变化特征进行了分析。结果表明：多时相光谱信息可有效改善水体、裸土和稀疏植被等像元与不透水面的混分，2005年和2016年的不透水面分类总体精度和Kappa系数均在0.85以上，合理反映了不透水面以向东和向南扩张为主的趋势特征，年均扩张速度约为6.7 km2。研究成果为该区城镇化下的生态环境效应研究提供数据基础，同时可为其他平原河网区不透水面信息提供借鉴和参考。
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| 关 键 词： | 多时相 Landsat 不透水面 遥感信息提取 平原河网区 |
| 收稿时间： | 2019-08-29 |
| 修稿时间： | 2019-11-14 |
Methods and application of impervious surface information extraction in plain river network based on multi-temporal landsat imagery |
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| ZHOU Feng,LIAO Yubing,LI Na.Methods and application of impervious surface information extraction in plain river network based on multi-temporal landsat imagery[J].Bulletin of Surveying and Mapping,2020,0(1):94. |
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| Authors: | ZHOU Feng LIAO Yubing LI Na |
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| Institution: | 1. School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China;2. College of Civil Engineering, Yancheng Institute of Technology, Yancheng 224051, China |
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| Abstract: | Impervious surface is recognized as the key indicator of the urban ecological environment. To improve the accuracy of the impervious surface information extraction in plain river network area, according to analysis of the seasonal spectral characteristics of the pixels in the rapid urbanization area of North Jiangsu derived from the multi-temporal Landsat imagery, this study proposes a new decision tree model based on the NDVI, NDWI and NDBI time-series datasets. Using the novel established decision tree model, the change of the impervious surface is also analyzed. The result shows that the Kappa coefficient and the overall accuracy of the impervious surface classify are both larger than 0.85, implying that the method is potentially useful for the detection of the impervious surface. With the process of the urbanization, the region has undergone a rapid expansion of the impervious surface with a increasing rate of 7.0 km2/year. In addition, a more rapid development trend towards the southeastern direction has been found during the period 2005-2016. Our investigations could provide scientific basis for the urban ecological environment research and provide a technical support for the impervious surface extraction in other plain river network area. |
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| Keywords: | multi-temporal Landsat impervious surface remote sensing information extraction plain river network area |
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