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Author Fabian, M.; Lessmann, C.; Sofke, T.
Title Natural disasters and regional development – the case of earthquakes Type Journal Article
Year 2019 Publication Environment and Development Economics Abbreviated Journal Envir. Dev. Econ.
Volume 24 Issue 5 Pages 479-505
Keywords Remote Sensing
Abstract (down) We analyze the impact of earthquakes on nighttime lights at a sub-national level, i.e., on grids of different size. We argue that existing studies on the impact of natural disasters on economic development have several important limitations, both at the level of the outcome variable as well as at the level of the independent variable, e.g., the timing of an event and the measuring of its intensity. We aim to overcome these limitations by using geophysical event data on earthquakes together with satellite nighttime lights. Using panel fixed effects regressions covering the entire world for the period 1992–2013, we find that earthquakes reduce both light growth rates and light levels significantly. The effects persist for approximately 5 years, but we find no long-run effects. Effects are stronger the smaller the area of a unit of observation. National institutions and economic conditions are relevant moderating factors.
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ISSN 1355-770X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3000
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Author Skoufias E.; Strobl E.; Tveit T.
Title Can we Rely on VIIRS Nightlights to Estimate the Short-Term Impacts of Natural Disasters? Type Journal Article
Year 2019 Publication Policy Research Working Papers 9052 Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract (down) Visible Infrared Imaging Radiometer Suite (VIIRS) nightlights are used to model damage caused by earthquakes, floods, and typhoons in five Southeast Asian countries (Indonesia, Myanmar, the Philippines, Thailand, and Vietnam). The data are used to examine the extent to which for each type of hazard there is a difference in nightlight intensity between affected and nonaffected cells based on (i) case studies of specific disasters, and (ii) fixed effect regression models akin to the double difference method to determine any effect that the different natural hazards might have had on the nightlight value. The results show little to no significance regardless of the methodology used, most likely due to noise in the nightlight data and the fact that the tropics have only a few days per month with no cloud cover.
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Notes Approved no
Call Number UP @ altintas1 @ Serial 3153
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Author Feng, D.; Yang, C.; Fu, M.; Wang, J.; Zhang, M.; Sun, Y.; Bao, W.
Title Do anthropogenic factors affect the improvement of vegetation cover in resource-based region? Type Journal Article
Year 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production
Volume in press Issue Pages 122705
Keywords Remote Sensing
Abstract (down) Vegetation plays a vital role in ecological systems and, therefore, changes in vegetation reflect the state of the ecological environment. Anthropogenic factors significantly impact vegetation cover. This study investigated variations in vegetation cover and the contribution of anthropogenic factors to these variations using the resourced-based region Shanxi Province as a case study. Theil-Sen median slope analysis and Mann-Kendall tests were used to analyze the vegetation cover change. A series of quantitative and qualitative techniques including spatial econometric modeling and residual analysis modeling were used to assess the effects of anthropogenic factors including ecological policies, urbanization, and coal mining. The results showed that overall, vegetation cover increased in the study area, but parts of the region experienced degradation. Ecological policies have been implemented in Shanxi Province to benefit vegetation cover and have resulted in large-scale human-induced greening. Urbanization had a more significant influence on vegetation cover than did natural factors. The extent of mining areas was not a decisive factor compared to natural factors; however, coal mining did create government revenue and drive economic development. In this manner, government policies could guide anthropogenic factors to create “win-win” scenarios for the environment and economic development. The results of this study promote a deeper understanding of the impact of anthropogenic factors on the ecological environment in resource-based regions.
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Series Volume Series Issue Edition
ISSN 0959-6526 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3028
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Author Kumar, P.; Sajjad, H.; Joshi, P.K.; Elvidge, C.D.; Rehman, S.; Chaudhary, B.S.; Tripathy, B.R.; Singh, J.; Pipal, G.
Title Modeling the luminous intensity of Beijing, China using DMSP-OLS night-time lights series data for estimating population density Type Journal Article
Year 2018 Publication Physics and Chemistry of the Earth, Parts A/B/C Abbreviated Journal Physics and Chemistry of the Earth, Parts A/B/C
Volume 109 Issue Pages 31-39
Keywords Remote Sensing
Abstract (down) Various scientific researches were conducted to monitor human activities and natural phenomena with the availability of various night time satellite data such as Defense Meteorological Satellite Program (DMPS). Population growth especially in a faster growing economy like China is an important indicator for assessing socio-economic development, urban planning and environmental management. Thus, spatial distribution of population is instrumental in assessing growth and developmental activities in Beijing city of China. The satellite observation data derived from Defense Meteorological Satellite Program (DMSP) was utilized to estimate population density through the measurement of light flux with radiometric recording. The data was calibrated using C0, C1, C2 parameters before processing. Population density of Beijing city was estimated using light volume of this calibrated data. Regression analysis between urban population and light volume revealed high correlation (r2=0.89)r2=0.89). Thus, population density can effectively be estimated using light intensity. The model used for estimating urban population density can effectively be utilized for other major cities of the world.
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ISSN 1474-7065 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 1934
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Author Liu, L.; Zhou, H.; Lan, M.; Wang, Z.
Title Linking Luojia 1-01 nightlight imagery to urban crime Type Journal Article
Year 2020 Publication Applied Geography Abbreviated Journal Applied Geography
Volume 125 Issue Pages 102267
Keywords Public Safety; Remote Sensing
Abstract (down) Various environmental criminology theories and empirical studies have linked the urban environment to crime. The crime pattern theory, in particular, argues that edges, either social or physical, affect crime. A recent study has combined both social and physical edges to derive composite edges. A composite edge index measured by NPP-VIIRS satellite nightlights at the census tract level is found to be related to street robbery and burglary. Nightlight images of Luojia 1-01, launched in June 2018, have a much higher spatial resolution than that of NPP-VIIRS. This study applies Luojia 1-01 nightlight data to measure composite edges by nightlight gradients at the smaller census block group level. The effects of the composite edges on street robbery and burglary are explored by negative binomial models. Results show that composite edges measured by Luojia 1-01 nightlight data improve the fitness of models noticeably on street robbery but not on burglary. Nightlight gradients make a statistically significant and positive impact on the street robbery rate, but an insignificant and negative impact on the burglary rate. Furthermore, the composite edge effect on street robbery is more substantial than that on burglary. In sum, this study provides evidence that Luojia 1-01 nightlight imagery can help explain crime at the aggregated block group level, but its impact on crime varies by crime type.
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ISSN 0143-6228 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3112
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