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Author Letu, H.; Hara, M.; Tana, G.; Bao, Y.; Nishio, F.
Title Generating the Nighttime Light of the Human Settlements by Identifying Periodic Components from DMSP/OLS Satellite Imagery Type Journal Article
Year 2015 Publication Environmental Science & Technology Abbreviated Journal Environ Sci Technol
Volume 49 Issue 17 Pages (down) 10503–10509
Keywords Remote Sensing; DMSP-OLS; DMSP; OLS; nighttime lights; stable lights; greenhouse gas; economic development
Abstract Nighttime lights of the human settlements (hereafter, “stable lights”) are seen as a valuable proxy of social economic activity and greenhouse gas emissions at the subnational level. In this study, we propose an improved method to generate the stable lights from Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) daily nighttime light data for 1999. The study area includes Japan, China, India, and other 10 countries in East Asia. A noise reduction filter (NRF) was employed to generate a stable light from DMSP/OLS time-series daily nighttime light data. It was found that noise from amplitude of the 1-year periodic component is included in the stable light. To remove the amplitude of the 1-year periodic component noise included in the stable light, the NRF method was improved to extract the periodic component. Then, new stable light was generated by removing the amplitude of the 1-year periodic component using the improved NRF method. The resulting stable light was evaluated by comparing it with the conventional nighttime stable light provided by the National Oceanic and Atmosphere Administration/National Geophysical Data Center (NOAA/NGDC). It is indicated that DNs of the NOAA stable light image are lower than those of the new stable light image. This might be attributable to the influence of attenuation effects from thin warm water clouds. However, due to overglow effect of the thin cloud, light area in new stable light is larger than NOAA stable light. Furthermore, the cumulative digital numbers (CDNs) and number of light area pixels (NLAP) of the generated stable light and NOAA/NGDC stable light were applied to estimate socioeconomic variables of population, electric power consumption, gross domestic product, and CO2 emissions from fossil fuel consumption. It is shown that the correlations of the population and CO2FF with new stable light data are higher than those in NOAA stable light data; correlations of the EPC and GDP with NOAA stable light data are higher those in the new stable light data.
Address parallelRemote Sensing and GIS Key Laboratory, Inner Mongolia Normal University, 81 Zhaowuda street, Hohhot 010022, China
Corporate Author Thesis
Publisher ACS Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0013-936X ISBN Medium
Area Expedition Conference
Notes PMID:26280570 Approved no
Call Number IDA @ john @ Serial 1246
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Author Larsen, D.A.; Martin, A.; Pollard, D.; Nielsen, C.F.; Hamainza, B.; Burns, M.; Stevenson, J.; Winters, A.
Title Leveraging risk maps of malaria vector abundance to guide control efforts reduces malaria incidence in Eastern Province, Zambia Type Journal Article
Year 2020 Publication Scientific Reports Abbreviated Journal Sci Rep
Volume 10 Issue 1 Pages (down) 10307
Keywords Remote sensing
Abstract Although transmission of malaria and other mosquito-borne diseases is geographically heterogeneous, in sub-Saharan Africa risk maps are rarely used to determine which communities receive vector control interventions. We compared outcomes in areas receiving different indoor residual spray (IRS) strategies in Eastern Province, Zambia: (1) concentrating IRS interventions within a geographical area, (2) prioritizing communities to receive IRS based on predicted probabilities of Anopheles funestus, and (3) prioritizing communities to receive IRS based on observed malaria incidence at nearby health centers. Here we show that the use of predicted probabilities of An. funestus to guide IRS implementation saw the largest decrease in malaria incidence at health centers, a 13% reduction (95% confidence interval = 5-21%) compared to concentrating IRS geographically and a 37% reduction (95% confidence interval = 30-44%) compared to targeting IRS based on health facility incidence. These results suggest that vector control programs could produce better outcomes by prioritizing IRS according to malaria-vector risk maps.
Address University of Montana, Missoula, MT, USA
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2045-2322 ISBN Medium
Area Expedition Conference
Notes PMID:32587283; PMCID:PMC7316765 Approved no
Call Number GFZ @ kyba @ Serial 3025
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Author Zeng, C.; Zhou, Y.; Wang, S.; Yan, F.; Zhao, Q.
Title Population spatialization in China based on night-time imagery and land use data Type Journal Article
Year 2011 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 32 Issue 24 Pages (down) 9599-9620
Keywords DMSP-OLS; remote sensing; light at night; population; modeling
Abstract Population is a key indicator of socioeconomic development, urban planning and environmental protection, particularly for developing countries like China. But, census data for any given area are neither always available nor adequately reflect the internal differences of population. The authors tried to overcome this problem by spatializing the population across China through utilizing integer night-time imagery (Defense Meteorological Satellite Program/Operational Linescan System, DMSP/OLS) and land-use data. In creating the population linear regression model, night-time light intensity and lit areas, under different types of land use, were employed as predictor variables, and census data as dependent variables. To improve model performance, eight zones were created using night-time imagery clustering and shortest path algorithm. The population model is observed to have a coefficient of determination (R 2) ranging from 0.80 to 0.95 in the research area, which remained the same in different years. A comparison of the results of this study with those of other researchers shows that the spatialized population density map, prepared on the basis of night-time imagery, reflects the population distribution character more explicitly and in greater detail.
Address State Key Laboratory of Remote Sensing Science , Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University , Beijing, 100101, PR China
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 228
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Author Tan, M.
Title Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data Type Journal Article
Year 2015 Publication Sustainability Abbreviated Journal Sustainability
Volume 7 Issue 7 Pages (down) 8768-8781
Keywords Remote Sensing
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2071-1050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1201
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Author Kyba, C.C.M.; Tong, K.P.; Bennie, J.; Birriel, I.; Birriel, J.J.; Cool, A.; Danielsen, A.; Davies, T.W.; Outer, P.N. den; Edwards, W.; Ehlert, R.; Falchi, F.; Fischer, J.; Giacomelli, A.; Giubbilini, F.; Haaima, M.; Hesse, C.; Heygster, G.; Hölker, F.; Inger, R.; Jensen, L.J.; Kuechly, H.U.; Kuehn, J.; Langill, P.; Lolkema, D.E.; Nagy, M.; Nievas, M.; Ochi, N.; Popow, E.; Posch, T.; Puschnig, J.; Ruhtz, T.; Schmidt, W.; Schwarz, R.; Schwope, A.; Spoelstra, H.; Tekatch, A.; Trueblood, M.; Walker, C.E.; Weber, M.; Welch, D.L.; Zamorano, J.; Gaston, K.J.
Title Worldwide variations in artificial skyglow Type Journal Article
Year 2015 Publication Scientific Reports Abbreviated Journal Sci. Rep.
Volume 5 Issue Pages (down) 8409
Keywords Skyglow; light pollution; measurements; remote sensing; sky brightness; calibration
Abstract Despite constituting a widespread and significant environmental change, understanding of artificial nighttime skyglow is extremely limited. Until now, published monitoring studies have been local or regional in scope, and typically of short duration. In this first major international compilation of monitoring data we answer several key questions about skyglow properties. Skyglow is observed to vary over four orders of magnitude, a range hundreds of times larger than was the case before artificial light. Nearly all of the study sites were polluted by artificial light. A non-linear relationship is observed between the sky brightness on clear and overcast nights, with a change in behavior near the rural to urban landuse transition. Overcast skies ranged from a third darker to almost 18 times brighter than clear. Clear sky radiances estimated by the World Atlas of Artificial Night Sky Brightness were found to be overestimated by ~25%; our dataset will play an important role in the calibration and ground truthing of future skyglow models. Most of the brightly lit sites darkened as the night progressed, typically by ~5% per hour. The great variation in skyglow radiance observed from site-to-site and with changing meteorological conditions underlines the need for a long-term international monitoring program.
Address Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany
Corporate Author Thesis
Publisher Nature Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2045-2322 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1103
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