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Author (down) Wanjiru Mbugua, S.; Hay Wong, C.; Ratnayeke, S.
Title Effects of artificial light on the larvae of the firefly Lamprigera sp. in an urban city park, Peninsular Malaysia Type Journal Article
Year 2019 Publication Journal of Asia-Pacific Entomology Abbreviated Journal Journal of Asia-Pacific Entomology
Volume 32 Issue 1 Pages 82-85
Keywords Animals; Fireflies; Lamprigera
Abstract Firefly populations are threatened globally by habitat alteration, pesticide use, and anthropogenic sources of light. Lamprigera fireflies were recently reported at an urban city park in Kuala Lumpur, Peninsular Malaysia. Here we report on the responses of Lamprigera larvae to artificial light from street lamps on paved park trails. Larvae were located farther from artificial light sources when street lamps were illuminated than when they were not, and mostly where light intensities were lowest, off park trails. Larvae that were located within the direct field of illumination tended to be immobile, whereas, when street lamps were turned off, they actively travelled paved trails. Larvae positioned directly in the path of downwelling light from street lamps at dusk may therefore experience an effectively longer diurnal period, limited time for active foraging, and greater exposure to pedestrian traffic.
Address Department of Biological Sciences, Sunway University, Bandar Sunway DE 47500, Selangor, Malaysia; samanth.m(at)
Corporate Author Thesis
Publisher Elsevier Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1226-8615 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2753
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Author (down) Wang,; Sutton,; Qi,
Title Global Mapping of GDP at 1 km2 Using VIIRS Nighttime Satellite Imagery Type Journal Article
Year 2019 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi
Volume 8 Issue 12 Pages 580
Keywords Remote Sensing
Abstract Frequent and rapid spatially explicit assessment of socioeconomic development is critical for achieving the Sustainable Development Goals (SDGs) at both national and global levels. Over the past decades, scientists have proposed many methods for estimating human activity on the Earth’s surface at various spatiotemporal scales using Defense Meteorological Satellite Program Operational Line System (DMSP-OLS) nighttime light (NTL) data. However, the DMSP-OLS NTL data and the associated processing methods have limited their reliability and applicability for systematic measuring and mapping of socioeconomic development. This study utilized Visible Infrared Imaging Radiometer Suite (VIIRS) NTL and the Isolation Forest machine learning algorithm for more intelligent data processing to capture human activities. We used machine learning and NTL data to map gross domestic product (GDP) at 1 km2. We then used these data products to derive inequality indexes (e.g., Gini coefficients) at nationally aggregate levels. This flexible approach processes the data in an unsupervised manner at various spatial scales. Our assessments show that this method produces accurate subnational GDP data products for mapping and monitoring human development uniformly across the globe.
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 2220-9964 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2787
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Author (down) Wang, X.; Liu, G.; Coscieme, L.; Giannetti, B.F.; Hao, Y.; Zhang, Y.; Brown, M.T.
Title Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data Type Journal Article
Year 2019 Publication Ecological Modelling Abbreviated Journal Ecological Modelling
Volume 397 Issue Pages 1-15
Keywords Remote Sensing
Abstract Emergy analysis is one of the ecological thermodynamics methods. With a specific set of indicators, it is proved to be highly informative for sustainability assessment of national/regional economies. However, a large amount of data needed for its calculation are from official statistical data by administrative divisions. The spatialization of emergy in early researches were limited to the administrative boundaries. The emergy inside an administrative boundary renders a single value, which hides plenty of information for more precise regional planning.

This study develops a new methodology for mapping the spatial distribution of emergy density of a region. The renewable resource distribution can be mapped based on latest geospatial datasets and GIS technology, instead of solely relying on statistics and yearbooks data. Besides, a new spatialization method of non-renewable emergy based on DMSP-OLS nighttime lights data is proposed. Combined with the radiation calibration data, the problem of light saturation of DMSP-OLS nighttime lights data was solved to improve the emergy spatial detail of city centers. With a case study of Jing-Jin-Ji region, results showed that this method could generate a high-resolution map of emergy use, and depict human disturbance to the environment in a more precise manner. This may provide supportive information for more precise land use planning, strategic layout and policy regulation, and is helpful for regional sustainable development.
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 0304-3800 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2192
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Author (down) Wang, X.; Cheng, H.
Title Study on the Temporal and Spatial Pattern Differences of Chinese Light Curl Based on DMSP/OLS Type Journal Article
Year 2019 Publication IOP Conference Series: Earth and Environmental Science Abbreviated Journal IOP Conf. Ser.: Earth Environ. Sci.
Volume 310 Issue Pages 032072
Keywords Remote Sensing
Abstract Nighttime light data can detect surface gleams that can intuitively reflect human socioeconomic activity.This paper uses the DMSP/OLS nighttime lighting data from 2001 to 2007 to analyze the coupling relationship between regional economic development and nighttime light intensity in China using regression model.The results show that the brightest areas of nighttime light are mainly concentrated in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, and the Pearl River Delta region. With the change of theyear, the brightness of the three regions is brighter year by year, indicating that the economy is more and more developed.The linear regression model of total brightness and GDP of regional light: Y=792.218+0.024X, linear slope is 0.024, indicating a positive correlation trend.The provinces and cities with the highest total brightness of the provinces and cities are Guangdong Province, Shandong Province, and Jiangsu Province, and the lowest provinces and cities are Qinghai Province and Tibet Autonomous Region.The total brightness of regional lights in China's provinces and cities is well coupled with GDP. The total brightness of regional lights in all provinces and cities is weakened from east to west. The brightness of the 11 provinces in the eastern region is the strongest, including Beijing, Tianjin, Hebei, Liaoning, Shanghai, and Jiangsu, Zhejiang, Fujian, Shandong, Guangdong, Hainan Province.The second most powerful lighting is the eight provinces in the central region including Shanxi, Jilin, Heilongjiang, Anhui, Jiangxi, Henan, Hubei, and Hunan.The weakest lighting is in the western regions of Sichuan, Chongqing, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang, Guangxi, Inner Mongolia and other provinces (cities).In the east of the Hu Huanyong line, the nighttime lighting is higher than the west of the Hu Huanyong line.The eastern part of China's seven geographical divisions (Shanghai, Jiangsu, Zhejiang, Anhui, Jiangxi, Shandong, Fujian, and Taiwan) has the brightest night lights.The northwestern region (Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, Xinjiang Uygur Autonomous Region, and Inner Mongolia Autonomous Region) has a weak night light.The brightness information of nighttime remote sensing data selected in this study can reflect the level of regional economic development.
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 1755-1315 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2670
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Author (down) Wang, W.; Cheng, H.; Zhang, L.
Title Poverty assessment using DMSP/OLS night-time light satellite imagery at a provincial scale in China Type Journal Article
Year 2012 Publication Advances in Space Research Abbreviated Journal Advances in Space Research
Volume 49 Issue 8 Pages 1253-1264
Keywords DMSP/OLS night-time light; Provincial scale; Socio-economic development; Principal component analysis; Poverty index; DMSP-OLS; remote sensing
Abstract All countries around the world and many international bodies, including the United Nations Development Program (UNDP), United Nations Food and Agricultural Organization (FAO), the International Fund for Agricultural Development (IFAD) and the International Labor Organization (ILO), have to eliminate rural poverty. Estimation of regional poverty level is a key issue for making strategies to eradicate poverty. Most of previous studies on regional poverty evaluations are based on statistics collected typically in administrative units. This paper has discussed the deficiencies of traditional studies, and attempted to research regional poverty evaluation issues using 3-year DMSP/OLS night-time light satellite imagery. In this study, we adopted 17 socio-economic indexes to establish an integrated poverty index (IPI) using principal component analysis (PCA), which was proven to provide a good descriptor of poverty levels in 31 regions at a provincial scale in China. We also explored the relationship between DMSP/OLS night-time average light index and the poverty index using regression analysis in SPSS and a good positive linear correlation was modelled, with R2 equal to 0.854. We then looked at provincial poverty problems in China based on this correlation. The research results indicated that the DMSP/OLS night-time light data can assist analysing provincial poverty evaluation issues.
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 0273-1177 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 206
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