Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights
Bhartendu Pandey; Qingling Zhang; Karen C. Seto
刊名Remote Sensing of Environment
2017
文献子类期刊论文
英文摘要With over two decades of historical observations, DMSP/OLS nighttime lights (NTL) are an invaluable asset for monitoring, characterizing, and understanding human activity. Due to the lack of on-board calibration, there are systematic biases in NTL data. Consequently, a key deterrent to the use of the entire NTL archive is the difficulty in generating a consistent NTL time series. Currently, there are a number of methods to calibrate NTL data in order to generate a consistent time series. However, there is no systematic evaluation of the performances of these calibration efforts. The purpose of this paper is to compare and evaluate existing calibration methods and to provide guidance to NTL end users on their relative strengths and weaknesses. We apply two widely adopted criteria to assess the performance of the methods: a) systematic bias minimization, and b) relation with ancillary socio-economic data on economic activity and electricity consumption. Our results show that global-scale calibration methods outperform regionally-based calibration methods. Furthermore, inconsistencies, in the form of differences in pixel values from two satellites of the same region and year, continue to exist in NTL data even after the calibration methods are applied, both across regions and across scales. We find that dimly lit regions are more difficult to calibrate compared to brightly lit regions and that inconsistencies persist in higher northern and lower southern latitudes. We conclude that significant improvements in calibration results will require a shift either towards absolute correction methods using in-situ data or relative calibration methods using NTL from VIIRS.
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语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/12498]  
专题深圳先进技术研究院_数字所
作者单位Remote Sensing of Environment
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Bhartendu Pandey,Qingling Zhang,Karen C. Seto. Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights[J]. Remote Sensing of Environment,2017.
APA Bhartendu Pandey,Qingling Zhang,&Karen C. Seto.(2017).Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights.Remote Sensing of Environment.
MLA Bhartendu Pandey,et al."Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights".Remote Sensing of Environment (2017).
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