An improved method of night-time light saturation reduction based on EVI

An improved method of night-time light saturation reduction based on EVI
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基于EVI的改进夜间光饱和度降低方法

DOI:
10.1080/01431161.2015.1073861
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发表时间:
2015-08
影响因子:
3.4
通讯作者:
Lin Liu
Lin Liu
中科院分区:
工程技术3区
文献类型:
--
作者:
Li Zhuo;Jing Zheng;Xiaofan Zhang;Jun Li;Lin Liu

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国防气象卫星计划(DMSP)业务线扫描系统(OLS)夜间光(NTL)数据已被广泛应用于人类活动及其与环境的相互作用的研究。由于OLS传感器的限制,DMSP NTL数据在中心城区存在饱和问题,这进一步影响了基于夜间灯光的研究。最近,植被调整的NTL城市指数(VANUI)已开发的基础上植被和城市表面的负相关。尽管VANUI的实施简单,并且能够有效地增加NTL数据的变化,但它在某些快速发展的城市中表现不佳。在这项研究中,我们提出了一个新的指数,增强植被指数(EVI)调整NTL指数(EANTLI),这是通过改革VANUI算法和利用EVI开发。与辐射校准的NTL(RCNTL)和新的可见红外成像仪辐射计套件(VIIRS)的全球15个城市的数据比较表明,EANTLI降低了城市核心的饱和度,减轻了郊区的开花效应。EANTLI与RCNTL和VIIRS的相似性在空间分布和纬向样带上均高于VANUI与RCNTL和VIIRS的相似性。EANTLI对中国166个地级市的电力消费量的估算也取得了较好的结果。总之,EANTLI可以有效地降低城市中心的NTL饱和度,因此具有广泛应用的巨大潜力。
Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) night-time light (NTL) data have been widely applied to studies on anthropogenic activities and their interactions with the environment. Due to limitations of the OLS sensor, DMSP NTL data suffer from a saturation problem in central urban areas, which further affects studies based on nocturnal lights. Recently, the vegetation-adjusted NTL urban index (VANUI) has been developed based on the inverse correlation of vegetation and urban surfaces. Despite its simple implementation and ability to effectively increase variations in NTL data, VANUI does not perform well in certain rapidly growing cities. In this study, we propose a new index, denoted enhanced vegetation index (EVI)-adjusted NTL index (EANTLI), that was developed by reforming the VANUI algorithm and utilizing the EVI. Comparisons with radiance-calibrated NTL (RCNTL) and the new Visible Infrared Imager Radiometer Suite (VIIRS) data for 15 cities worldwide show that EANTLI reduces saturation in urban cores and mitigates the blooming effect in suburban areas. EANTLI’s similarity to RCNTL and VIIRS is consistently higher than VANUI’s similarity to RCNTL and VIIRS in both spatial distribution and latitudinal transects. EANTLI also yields better results in the estimation of electric power consumption of 166 Chinese prefecture-level cities. In conclusion, EANTLI can effectively reduce NTL saturation in urban centres, thus presenting great potential for wide-range applications.
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