An improved method of night-time light saturation reduction based on EVI
An improved method of night-time light saturation reduction based on EVI
复制标题
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
中科院分区:
文献类型:
--
作者:
Li Zhuo;Jing Zheng;Xiaofan Zhang;Jun Li;Lin Liu
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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影响因子:
13.5
作者:
Qingling Zhang;C. Schaaf;K. Seto
通讯作者:
Qingling Zhang;C. Schaaf;K. Seto
DOI:
10.7125/apan.30.18
发表时间:
2010-12
期刊:
--
影响因子:
--
作者:
D. Ziskin;K. Baugh;F. Hsu;C. Elvidge
通讯作者:
D. Ziskin;K. Baugh;F. Hsu;C. Elvidge
影响因子:
13.5
作者:
Elvidge, CD;Baugh, KE;Kroehl, HW
通讯作者:
Kroehl, HW
影响因子:
13.5
作者:
Imhoff, ML;Bounoua, L;Ricketts, T
通讯作者:
Ricketts, T
影响因子:
4.9
作者:
He Chunyang;Ma Qun;Liu Zhifeng
通讯作者:
Liu Zhifeng