A Robust Method to Generate a Consistent Time Series from the DMSP/OLS Nighttime Light Data
文献类型：期刊论文
| 作者 | Qingling Zhang; Bhartendu Pandey; Karen Seto |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
 |
| 出版日期 | 2016 |
| 英文摘要 | DMSP/OLS sensors provides a unique and valuable resource to study changes in human activities. However, its full time series potential has not been fully explored, mainly due to inconsistencies in the temporal signal. Previous studies have tried to resolve this issue in order to generate a consistent NTL time series. However, due to geographic limitations with the algorithms, these approaches cannot generate a coherent NTL time series globally. The purpose of this study is to develop a methodology to create a consistent NTL time series that can be applied globally. Our method is based on a novel sampling strategy to identify pseudoinvariant features. We select data points along a ridgeline—the densest part of a density plot generated between the reference image and the target image—and then use those data points to derive calibration models to minimize inconsistencies in the NTL time series. Results show that the algorithm successfully calibrates DMSP/OLS annual composites and generates a consistent NTL time series. Evaluation of the results shows that the calibrated NTL time series significantly reduces the differences between two images within the same year and increases the correlations between the NTL time series and gross domestic product as well as with energy consumption, and outperforms the Elvidge et al. (2014) method. The methodology is simple, robust, and easy to implement. The quality-enhanced NTL time series can be used in a myriad of applications that require a consistent data set over time. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/abstract/document/7490418/ |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10227]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE Transactions on Geoscience and Remote Sensing |
| 推荐引用方式 GB/T 7714 | Qingling Zhang,Bhartendu Pandey,Karen Seto. A Robust Method to Generate a Consistent Time Series from the DMSP/OLS Nighttime Light Data[J]. IEEE Transactions on Geoscience and Remote Sensing,2016. |
| APA | Qingling Zhang,Bhartendu Pandey,&Karen Seto.(2016).A Robust Method to Generate a Consistent Time Series from the DMSP/OLS Nighttime Light Data.IEEE Transactions on Geoscience and Remote Sensing. |
| MLA | Qingling Zhang,et al."A Robust Method to Generate a Consistent Time Series from the DMSP/OLS Nighttime Light Data".IEEE Transactions on Geoscience and Remote Sensing (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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