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Article: Building a Series of Consistent Night-Time Light Data (1992-2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS

TitleBuilding a Series of Consistent Night-Time Light Data (1992-2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS
Authors
KeywordsDefense Meteorological Satellite Program (DMSP)
integration
nighttime light (NTL)
Southeast Asia
time series
Visible Infrared Imaging Radiometer Suite (VIIRS)
Issue Date2020
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2020, v. 58, n. 3, p. 1843-1856 How to Cite?
AbstractSatellite-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.
Persistent Identifierhttp://hdl.handle.net/10722/329609
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhao, Min-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorLi, Xuecao-
dc.contributor.authorZhou, Chenghu-
dc.contributor.authorCheng, Weiming-
dc.contributor.authorLi, Manchun-
dc.contributor.authorHuang, Kun-
dc.date.accessioned2023-08-09T03:34:01Z-
dc.date.available2023-08-09T03:34:01Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2020, v. 58, n. 3, p. 1843-1856-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/329609-
dc.description.abstractSatellite-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.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectDefense Meteorological Satellite Program (DMSP)-
dc.subjectintegration-
dc.subjectnighttime light (NTL)-
dc.subjectSoutheast Asia-
dc.subjecttime series-
dc.subjectVisible Infrared Imaging Radiometer Suite (VIIRS)-
dc.titleBuilding a Series of Consistent Night-Time Light Data (1992-2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2019.2949797-
dc.identifier.scopuseid_2-s2.0-85080925186-
dc.identifier.volume58-
dc.identifier.issue3-
dc.identifier.spage1843-
dc.identifier.epage1856-
dc.identifier.eissn1558-0644-
dc.identifier.isiWOS:000519598700025-

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