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Article: An extended time series (2000-2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

TitleAn extended time series (2000-2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration
Authors
Issue Date2021
Citation
Earth System Science Data, 2021, v. 13, n. 3, p. 889-906 How to Cite?
AbstractThe nighttime light (NTL) satellite data have been widely used to investigate the urbanization process. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPPVIIRS) nighttime light data are two widely used NTL datasets. However, the difference in their spatial resolutions and sensor design requires a cross-sensor calibration of these two datasets for analyzing a long-term urbanization process. Different from the traditional cross-sensor calibration of NTL data by converting NPP-VIIRS to DMSP-OLS-like NTL data, this study built an extended time series (2000-2018) of NPP-VIIRS-like NTL data through a new cross-sensor calibration from DMSP-OLS NTL data (2000-2012) and a composition of monthly NPP-VIIRS NTL data (2013-2018). The proposed cross-sensor calibration is unique due to the image enhancement by using a vegetation index and an auto-encoder model. Compared with the annual composited NPP-VIIRS NTL data in 2012, our product of extended NPP-VIIRS-like NTL data shows a good consistency at the pixel and city levels with R2 of 0.87 and 0.95, respectively. We also found that our product has great accuracy by comparing it with DMSP-OLS radiance-calibrated NTL (RNTL) data in 2000, 2004, 2006, and 2010. Generally, our extended NPP-VIIRS-like NTL data (2000-2018) have an excellent spatial pattern and temporal consistency which are similar to the composited NPP-VIIRS NTL data. In addition, the resulting product could be easily updated and provide a useful proxy to monitor the dynamics of demographic and socioeconomic activities for a longer time period compared to existing products. The extended time series (2000-2018) of nighttime light data is freely accessible at https://doi.org/10.7910/DVN/YGIVCD (Chen et al., 2020).
Persistent Identifierhttp://hdl.handle.net/10722/329690
ISSN
2023 Impact Factor: 11.2
2023 SCImago Journal Rankings: 4.231
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Zuoqi-
dc.contributor.authorYu, Bailang-
dc.contributor.authorYang, Chengshu-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorYao, Shenjun-
dc.contributor.authorQian, Xingjian-
dc.contributor.authorWang, Congxiao-
dc.contributor.authorWu, Bin-
dc.contributor.authorWu, Jianping-
dc.date.accessioned2023-08-09T03:34:37Z-
dc.date.available2023-08-09T03:34:37Z-
dc.date.issued2021-
dc.identifier.citationEarth System Science Data, 2021, v. 13, n. 3, p. 889-906-
dc.identifier.issn1866-3508-
dc.identifier.urihttp://hdl.handle.net/10722/329690-
dc.description.abstractThe nighttime light (NTL) satellite data have been widely used to investigate the urbanization process. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPPVIIRS) nighttime light data are two widely used NTL datasets. However, the difference in their spatial resolutions and sensor design requires a cross-sensor calibration of these two datasets for analyzing a long-term urbanization process. Different from the traditional cross-sensor calibration of NTL data by converting NPP-VIIRS to DMSP-OLS-like NTL data, this study built an extended time series (2000-2018) of NPP-VIIRS-like NTL data through a new cross-sensor calibration from DMSP-OLS NTL data (2000-2012) and a composition of monthly NPP-VIIRS NTL data (2013-2018). The proposed cross-sensor calibration is unique due to the image enhancement by using a vegetation index and an auto-encoder model. Compared with the annual composited NPP-VIIRS NTL data in 2012, our product of extended NPP-VIIRS-like NTL data shows a good consistency at the pixel and city levels with R2 of 0.87 and 0.95, respectively. We also found that our product has great accuracy by comparing it with DMSP-OLS radiance-calibrated NTL (RNTL) data in 2000, 2004, 2006, and 2010. Generally, our extended NPP-VIIRS-like NTL data (2000-2018) have an excellent spatial pattern and temporal consistency which are similar to the composited NPP-VIIRS NTL data. In addition, the resulting product could be easily updated and provide a useful proxy to monitor the dynamics of demographic and socioeconomic activities for a longer time period compared to existing products. The extended time series (2000-2018) of nighttime light data is freely accessible at https://doi.org/10.7910/DVN/YGIVCD (Chen et al., 2020).-
dc.languageeng-
dc.relation.ispartofEarth System Science Data-
dc.titleAn extended time series (2000-2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.5194/essd-13-889-2021-
dc.identifier.scopuseid_2-s2.0-85102104196-
dc.identifier.volume13-
dc.identifier.issue3-
dc.identifier.spage889-
dc.identifier.epage906-
dc.identifier.eissn1866-3516-
dc.identifier.isiWOS:000626741300001-

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