A temperature and vegetation adjusted NTL urban index for urban area mapping and analysis

A temperature and vegetation adjusted NTL urban index for urban area mapping and analysis
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用于城市区域测绘和分析的温度和植被调整 NTL 城市指数

DOI:
10.1016/j.isprsjprs.2017.11.016
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发表时间:
2018
影响因子:
12.7
通讯作者:
Peijun Li
Peijun Li
中科院分区:
工程技术1区
文献类型:
--
作者:
Xiya Zhang;Peijun Li

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关于城市地区在区域和全球范围内的范围和空间分布的准确和及时的信息对科学界和决策界都至关重要。来自国防气象卫星计划(DMSP)业务线扫描系统(OLS)的稳定夜间灯光(NTL)数据提供了人类住区和活动的独特代理,已用于绘制和分析城市地区和城市化动态。然而,DMSP/OLS NTL数据的开花和饱和效应是区域城市制图和分析中尚未解决的两个问题。本研究提出了一种新的城市指数——温度与植被调整NTL城市指数(TVANUI)。通过将DMSP/OLS NTL数据与Terra卫星上中分辨率成像光谱仪的归一化植被指数(NDVI)和地表温度(LST)数据相结合,减少开花和饱和效应,增强城市特征。通过与已建立的城市指数的比较,在两个研究区域对所提出的指数进行了评价。结果表明,TVANUI能有效增强DMSP/OLS光在城市地区的变化,减少开花和饱和效应,表现出比三个已建立的城市指数更好的性能。TVANUI在使用全局固定阈值和局部最优阈值方法进行城市区域映射方面也明显优于已建立的城市指数。因此,建议的TVANUI为城市区域制图和区域尺度分析以及使用时间序列DMSP/OLS和相关卫星数据的城市化动态提供了有用的变量。
Accurate and timely information regarding the extent and spatial distribution of urban areas on regional and global scales is crucially important for both scientific and policy-making communities. Stable nighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) provides a unique proxy of human settlement and activity, which has been used in the mapping and analysis of urban areas and urbanization dynamics. However, blooming and saturation effects of DMSP/OLS NTL data are two unresolved problems in regional urban area mapping and analysis. This study proposed a new urban index termed the Temperature and Vegetation Adjusted NTL Urban Index (TVANUI). It is intended to reduce blooming and saturation effects and to enhance urban features by combining DMSP/OLS NTL data with Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) data from the Moderate Resolution Imaging Spectroradiometer onboard the Terra satellite. The proposed index was evaluated in two study areas by comparison with established urban indices. The results demonstrated the proposed TVANUI was effective in enhancing the variation of DMSP/OLS light in urban areas and in reducing blooming and saturation effects, showing better performance than three established urban indices. The TVANUI also significantly outperformed the established urban indices in urban area mapping using both the global-fixed threshold and the local-optimal threshold methods. Thus, the proposed TVANUI provides a useful variable for urban area mapping and analysis on regional scale, as well as for urbanization dynamics using time-series DMSP/OLS and related satellite data.
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