Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review

Since 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,...

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Main Authors: Qingxu Huang, Xi Yang, Bin Gao, Yang Yang, Yuanyuan Zhao
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/8/6844
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author Qingxu Huang
Xi Yang
Bin Gao
Yang Yang
Yuanyuan Zhao
author_facet Qingxu Huang
Xi Yang
Bin Gao
Yang Yang
Yuanyuan Zhao
author_sort Qingxu Huang
collection DOAJ
description Since 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.
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spelling doaj.art-a2de6945f9f14e18b97d34020092b0212022-12-21T23:50:08ZengMDPI AGRemote Sensing2072-42922014-07-01686844686610.3390/rs6086844rs6086844Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature ReviewQingxu Huang0Xi Yang1Bin Gao2Yang Yang3Yuanyuan Zhao4State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, ChinaDepartment of Geological Sciences, Brown University, Providence, RI 02912, USAState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, ChinaSchool of Law and Political Science, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Soil and Water Conservation and Desertification Combating, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, ChinaSince 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.http://www.mdpi.com/2072-4292/6/8/6844DMSP/OLS nighttime light dataapplicationreviewmeta-analysis
spellingShingle Qingxu Huang
Xi Yang
Bin Gao
Yang Yang
Yuanyuan Zhao
Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
Remote Sensing
DMSP/OLS nighttime light data
application
review
meta-analysis
title Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
title_full Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
title_fullStr Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
title_full_unstemmed Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
title_short Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review
title_sort application of dmsp ols nighttime light images a meta analysis and a systematic literature review
topic DMSP/OLS nighttime light data
application
review
meta-analysis
url http://www.mdpi.com/2072-4292/6/8/6844
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