Show simple item record

dc.contributor.authorHuang, Qingxu  Concept link
dc.contributor.authorYang, Xi  Concept link
dc.contributor.authorGao, Bin  Concept link
dc.contributor.authorYang, Yang  Concept link
dc.contributor.authorZhao, Yuanyuan  Concept link
dc.identifier.citationRemote Sensing 6 (2014): 6844-6866en_US
dc.description© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Remote Sensing 6 (2014): 6844-6866, doi:10.3390/rs6086844.en_US
dc.description.abstractSince the release of the digital archives of Defense Meteorological Satellite Program Operational Line Scanner (DMSP/OLS) nighttime light data in 1992, a variety of datasets based on this database have been produced and applied to monitor and analyze human activities and natural phenomena. However, differences among these datasets and how they have been applied may potentially confuse researchers working with these data. In this paper, we review the ways in which data from DMSP/OLS nighttime light images have been applied over the past two decades, focusing on differences in data processing, research trends, and the methods used among the different application areas. Five main datasets extracted from this database have led to many studies in various research areas over the last 20 years, and each dataset has its own strengths and limitations. The number of publications based on this database and the diversity of authors and institutions involved have shown promising growth. In addition, researchers have accumulated vast experience retrieving data on the spatial and temporal dynamics of settlement, demographics, and socioeconomic parameters, which are “hotspot” applications in this field. Researchers continue to develop novel ways to extract more information from the DMSP/OLS database and apply the data to interdisciplinary research topics. We believe that DMSP/OLS nighttime light data will play an important role in monitoring and analyzing human activities and natural phenomena from space in the future, particularly over the long term. A transparent platform that encourages data sharing, communication, and discussion of extraction methods and synthesis activities will benefit researchers as well as public and political stakeholders.en_US
dc.description.sponsorshipThis work is supported by the 111 project “Hazard and Risk Science Base at Beijing Normal University” under Grant B08008 (Ministry of Education and State Administration of Foreign Experts Affairs, PRC), the State Key Laboratory of Earth Surface Processes and Resource Ecology of Beijing Normal University (No. 2013-RC-03), and the Fundamental Research Funds for the Central Universities (Grant No. 201413037).en_US
dc.publisherMDPI AGen_US
dc.rightsAttribution 3.0 Unported
dc.subjectDMSP/OLS nighttime light dataen_US
dc.titleApplication of DMSP/OLS nighttime light images : a meta-analysis and a systematic literature reviewen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution 3.0 Unported