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Author Levin, N.; Ali, S.; Crandall, D.
Title Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study Type Journal Article
Year 2018 Publication (up) Applied Geography Abbreviated Journal Applied Geography
Volume 94 Issue Pages 1-17
Keywords Remote Sensing; Society; Human Health
Abstract Tracking global and regional conflict zones requires spatially explicit information in near real-time. Here, we examined the potential of remote sensing time-series data (night lights) and big data (data mining of news events and Flickr photos) for monitoring and understanding crisis development and refugee flows. We used the recent Arab Spring as a case study, and examined temporal trends in monthly time series of variables which we hypothesized to indicate conflict intensity, covering all Arab countries. Both Flickr photos and night-time lights proved as sensitive indicators for loss of economic and human capital, and news items from the Global Data on Events, Location and Tone (GDELT) project on fight events were positively correlated with actual deaths from conflicts. We propose that big data and remote sensing datasets have potential to provide disaggregated and timely data on conflicts where official statistics are lacking, offering an effective approach for monitoring geopolitical and environmental changes on Earth.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-6228 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 1918
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Author Tan, M.; Li, X.; Li, S.; Xin, L.; Wang, X.; Li, Q.; Li, W.; Li, Y.; Xiang, W.
Title Modeling population density based on nighttime light images and land use data in China Type Journal Article
Year 2018 Publication (up) Applied Geography Abbreviated Journal Applied Geography
Volume 90 Issue Pages 239-247
Keywords Remote Sensing
Abstract Population change is a key variable that influences climate change, ecological construction, soil and water use, and economic growth. Census data are always point data, whereas planar data are often required in scientific research. By using nighttime light (NTL) images and land use data, combined with the fifth and sixth census data of China at the county level, we carried out spatial matching on the population of each county, respectively, and established population density diagrams of China for 2000 and 2010, which had a spatial resolution of 1 × 1 km. The method proposed in this paper is relatively simple and has a high simulation precision. The results showed that during the first ten years of the 21st century, there are some remarkable characteristics in Chinese population spatial pattern change: 1) the “disappearance” of intermediate-density regions; namely, areas with a population density between 500 and 1500 persons/km2 have decreased by 41% during the ten years; 2) continuous growth of high-density regions; namely, areas with a population density of more than 1500 persons/km2 have increased by 76%; 3) an expansion tendency of low-density regions similar to high-density regions.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-6228 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2481
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Author Gu, Y., Uprety, S., Blonski, S., Zhang, B., & Cao, C.
Title Improved algorithm for determining the Visible Infrared Imaging Radiometer Suite Day/Night Band high-gain stage dark offset free from light contamination Type Journal Article
Year 2019 Publication (up) Applied Optics Abbreviated Journal
Volume 58 Issue 6 Pages 1400-1407
Keywords Remote Sensing; Instrumentation
Abstract Dark offset is one of the key parameters for Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) high-gain stage (HGS) radiometric calibration, whose accuracy strongly impacts applications of DNB low-light detection for Earth observation at nighttime. Currently, DNB observation of the VIIRS onboard calibrator blackbody (OBCBB) view, together with its observation of deep space during the spacecraft pitch maneuver performed early in the mission, has been used to compute the HGS dark offset continuously. However, the relationship between the DNB OBCBB data and the Earth view (EV) data is unclear due to electronic timing differences between these two views. It is questionable whether the DNB OBCBB data can monitor the EV HGS dark offset change. Through comprehensive analysis of the DNB OBCBB data and EV data acquired from the monthly special acquisitions known as the VIIRS recommended operating procedures (VROPs), we have shown that the OBCBB data can only track the dark current component of the DNB HGS EV dark offset, instead of the total dark offset. The DNB observation of deep space during the spacecraft pitch maneuver was also contaminated by starlight. With such background, in this paper we propose an improved algorithm for determining the DNB HGS dark offset. By combined use of the DNB OBCBB data and the DNB VROP data, the generated DNB HGS dark offset is both free from light contamination and capable of tracking continuous drift. The improved algorithm could potentially improve the DNB radiometric performance at low radiance level. Our results provide a solid theoretical basis for dark offset calibration of the VIIRS DNB onboard Suomi National Polar-Orbiting Partnership satellite and the following Joint Polar Satellite System satellites.
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Notes Approved no
Call Number IDA @ intern @ Serial 2358
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Author Barducci, A.; Marcoionni, P.; Pippi, I.; Poggesi, M.
Title Effects of light pollution revealed during a nocturnal aerial survey by two hyperspectral imagers Type Journal Article
Year 2003 Publication (up) Applied Optics Abbreviated Journal Appl. Opt.
Volume 42 Issue 21 Pages 4349
Keywords Remote Sensing
Abstract A remote-sensing campaign was performed in September 2001 at nighttime under clear-sky conditions before moonrise to assess the level of light pollution of urban and industrial origin. Two hyperspectral sensors, namely, the Multispectral Infrared and Visible Imaging Spectrometer and the Visible Infrared Scanner-200, which provide spectral coverage from the visible to the thermal infrared, were flown over the Tuscany coast (Italy) on board a Casa 212 airplane. The acquired images were processed to produce radiometrically calibrated data, which were then analyzed and compared with ground-based spectral measurements. Calibrated data acquired at high spectral resolution (∼2.5 nm) showed a maximum scene brightness almost of the same order of magnitude as that observed during similar daytime measurements, whereas their average luminosity was 3 orders of magnitude lower. The measurement analysis confirmed that artificial illumination hinders astronomical observations and produces noticeable effects even at great distances from the sources of the illumination.
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ISSN 0003-6935 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2438
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Author Rybnikova, N.A.; Haim, A.; Portnova, B.A.
Title Is Prostate Cancer Incidence Worldwide Linked to Artificial Light at Night Exposures? Earlier Findings' Revisit and Current Trends' Analysis Type Journal Article
Year 2016 Publication (up) Archives of Environmental & Occupational Health Abbreviated Journal Arch Environ Occup Health
Volume 72 Issue 2 Pages 111-122
Keywords Human Health; Remote Sensing
Abstract Widespread use of artificial light at night (ALAN) might contribute to the global burden of hormone-dependent cancers. However, previous attempts to verify this association in population-level studies have been sparse. Using the GLOBOCAN, US-DMSP and World Bank's 2010-2012 databases, we studied the association between ALAN and prostate cancer (PC) incidence in 180 countries worldwide, controlling for several country-level confounders. As our analysis indicates, the PC-ALAN association emerged marginally significant when year-2012 PC age-standardized rate data were compared with ALAN levels (t = 1.886, P<0.1); while this association emerged as more significant (t>2.7; P<0.01) when only 110 countries with well-maintained cancer registries were analyzed. Along with other variables, ALAN explains up to 79% of PC ASRs variability. PC-ALAN association appears to vary regionally, with the greatest deviations in Central Africa, Small Island Developing States, South East Asia and Gulf States.
Address a Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, 31805, Carmel, Mt, Israel
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Language English Summary Language Original Title
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ISSN 1933-8244 ISBN Medium
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Notes PMID:27029744 Approved no
Call Number LoNNe @ kyba @ Serial 1412
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