文献类型： 外文期刊

作者： Zhao, Min ¹ ; Zhou, Yuyu ² ; Li, Xuecao ² ; Zhou, Chenghu ¹ ; Cheng, Weiming ³ ; Li, Manchun ¹ ; Huang, Kun ⁶ ;

作者机构： 1.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China

2.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA

3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China

4.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210023, Peoples R China

5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China

6.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Defense Meteorological Satellite Program (DMSP); integration; nighttime light (NTL); Southeast Asia; time series; Visible Infrared Imaging Radiometer Suite (VIIRS)

期刊名称：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING （ 影响因子：5.6； 五年影响因子：6.086 ）

ISSN： 0196-2892

年卷期： 2020 年 58 卷 3 期

页码：

收录情况： SCI

摘要： Satellite-derived nighttime light (NTL) data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) have been extensively used for monitoring human activities and urbanization processes. Differences of these two datasets in their spatial and radiometric properties make it difficult for a temporally consistent analysis using these two datasets together. In this article, we developed a new approach to integrate these two datasets and generated a temporally consistent NTL dataset from 1992 to 2018. First, we performed the pixel-level spatial resampling of VIIRS data using a kernel density method after preprocessing the raw VIIRS data. Second, we conducted a logarithmic transformation of the aggregated VIIRS data. Third, we proposed a sigmoid function between DMSP and processed VIIRS data to characterize their relationship. Using the proposed method, we generated a series of consistent DMSP NTL data in Southeast Asia from 1992 to 2018 and analyzed the dynamic of resulted NTL at different scales. The evaluations based on profile curves, spatial patterns, scatter correlations, and histograms, of NTLs, indicate that our approach can achieve a good agreement between DMSP and simulated DMSP data in the same year. Our approach offers the potential for generating a time series of global DMSP NTL data from 1992 to present, which can contribute a more continuous and consistent monitoring of human activities and a better understanding of the urbanization process.