Trading Strategies: Forecasting Index Futures Prices with Short-Term Investor Sentiment
In: Emerging markets, finance and trade: EMFT, Band 56, Heft 13, S. 3153-3173
ISSN: 1558-0938
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In: Emerging markets, finance and trade: EMFT, Band 56, Heft 13, S. 3153-3173
ISSN: 1558-0938
In: Environmental science and pollution research: ESPR, Band 27, Heft 1, S. 1167-1174
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 26, Heft 11, S. 11170-11178
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 25, Heft 26, S. 25659-25667
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 22, Heft 12, S. 9184-9192
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 22, Heft 3, S. 1868-1876
ISSN: 1614-7499
© 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. ; 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. ; This work is supported by the 111 project "Hazard and Risk Science ...
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In: Environmental science and pollution research: ESPR, Band 29, Heft 17, S. 24672-24681
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 27, Heft 7, S. 7504-7514
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 25, Heft 26, S. 25629-25637
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 20, Heft 1, S. 358-368
ISSN: 1614-7499
In: EGY-D-22-01413
SSRN
In: Environmental science and pollution research: ESPR, Band 27, Heft 7, S. 7420-7429
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 26, Heft 14, S. 14693-14702
ISSN: 1614-7499
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 170, S. 363-374
ISSN: 1090-2414