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Author Lopez-Ruiz, H., Nezamuddin, N., Al Hassan, R., & Muhsen, A.
Title Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia Type Journal Article
Year (down) 2019 Publication EconPapers Abbreviated Journal
Volume ks--2019-mp07 Issue Pages
Keywords Remote Sensing; Freight; shipping; freight transport activity; FTA; China; India; Saudi Arabia; Transportation; nighttime lights; NTL
Abstract This paper focuses on the methodology for estimating total freight transport activity (FTA) for three countries — China, India and Saudi Arabia — with the objective of building on current state-of-the-art transportation modeling in three key areas: Studying the relationship between nighttime lights (NTL) and FTA allows for an estimation of full transportation datasets for countries where only a few observation points exist or where data is unavailable. Establishing the foundation for future work on how to use this approach in transport flow estimation (origin-destination matrices). Determining whether this approach can be used globally, given the coverage of the satellite data used. The paper uses the KAPSARC Transport Analysis Framework (KTAF), which estimates transport activity from freely available global data sources, satellite images and NTL. It is a tool for estimating freight transport activity that can be used in models to measure the impact of an accelerated transport policy planning approach. The methodology offers a solution to inadequate data access and allows for scenario building in policy planning for transportation. This approach allows for quick estimation of the effects of policy measures and economic changes on transportation activities at a global level. The paper also includes a detailed guide on how to replicate the methodology used in this analysis.
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Notes Approved no
Call Number IDA @ intern @ Serial 2639
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Author Zhou, N.; Hubacek, K.; Roberts, M.
Title Analysis of spatial patterns of urban growth across South Asia using DMSP-OLS nighttime lights data Type Journal Article
Year (down) 2015 Publication Applied Geography Abbreviated Journal Applied Geography
Volume 63 Issue Pages 292-303
Keywords Remote Sensing; Economics; Asia; South Asia; DMSP-OLS; Nighttime Lights; urban; Economic Development; India; Pakistan; Sri Lanka; Nepal; Bangladesh; GIS
Abstract Over the last quarter of a century, analyzing the pace of urbanization and urban economic growth in South Asia has become increasingly important. However, a key challenge relates to the absence of spatially disaggregated national accounts data – in particular, the absence of GDP data for sub-national administrative units and individual cities. The absence of such data limits the scope for detailed empirical analysis of spatial patterns of economic growth, particularly across individual urban settlements or cities. This paper aims to test the suitability of DMSP-OLS Nighttime Lights (NTL) data as a proxy for GDP to analyze detailed spatial patterns of urban economic growth across South Asia over the period 1999–2010. It will help to build an understanding of the nature and heterogeneity of spatial patterns of urban economic growth within the region and contribute to the development of a framework for the usage of NTL to investigate such patterns. Geographic Information System (GIS) is employed to identify the cities and urban agglomerations together with their NTL data in South Asia, and spatial statistics are used to analyze the spatial and temporal patterns of NTL growth. This paper adopts descriptive and inferential statistics to determine the quantitative relationship between NTL and population, urban size, and proximity to the coast. This paper reveals that the inter-annually calibrated NTL data is a good proxy for changes in national and sub-national GDP. In South Asia, the urban NTL hot spots are around major cities with populations between 1.3 and 2.6 million in 1999 and 0.5 to 1.3 million in 2010. Cities in the region have also become more clustered and connected forming urban agglomerations. NTL per unit of land in such clusters tends to be higher than in single cities in South Asia. India, Pakistan, and Sri Lanka tend to have higher NTL (economic) growth on average, while Nepal and Bangladesh have lower growth or declining NTL. There exists a very strong positive linear relation between distance to the coast and the total NTL within that distance, which leads to similar NTL growth rates among inland and coastal cities.
Address Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
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 0143-6228 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1240
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Author Zhuo, L.; Zheng, J.; Zhang, X.; Li, J.; Liu, L.
Title An improved method of night-time light saturation reduction based on EVI Type Journal Article
Year (down) 2015 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 36 Issue 16 Pages 4114-4130
Keywords Remote Sensing; DMSP; DMSP-OLS; Nighttime Lights; NTL; VANUI; EVI; EANTLI; RCNTL; VIIRS
Abstract Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) night-time light (NTL) data have been widely applied to studies on anthropogenic activities and their interactions with the environment. Due to limitations of the OLS sensor, DMSP NTL data suffer from a saturation problem in central urban areas, which further affects studies based on nocturnal lights. Recently, the vegetation-adjusted NTL urban index (VANUI) has been developed based on the inverse correlation of vegetation and urban surfaces. Despite its simple implementation and ability to effectively increase variations in NTL data, VANUI does not perform well in certain rapidly growing cities. In this study, we propose a new index, denoted enhanced vegetation index (EVI)-adjusted NTL index (EANTLI), that was developed by reforming the VANUI algorithm and utilizing the EVI. Comparisons with radiance-calibrated NTL (RCNTL) and the new Visible Infrared Imager Radiometer Suite (VIIRS) data for 15 cities worldwide show that EANTLI reduces saturation in urban cores and mitigates the blooming effect in suburban areas. EANTLI’s similarity to RCNTL and VIIRS is consistently higher than VANUI’s similarity to RCNTL and VIIRS in both spatial distribution and latitudinal transects. EANTLI also yields better results in the estimation of electric power consumption of 166 Chinese prefecture-level cities. In conclusion, EANTLI can effectively reduce NTL saturation in urban centres, thus presenting great potential for wide-range applications.
Address Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, PR China
Corporate Author Thesis
Publisher Taylor & Francis Place of Publication Editor
Language English Summary Language English 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 1245
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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 (down) 2015 Publication Environmental Science & Technology Abbreviated Journal Environ Sci Technol
Volume 49 Issue 17 Pages 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 Nordhaus, W.; Chen, X.
Title A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics Type Journal Article
Year (down) 2014 Publication Journal of Economic Geography Abbreviated Journal J of Econ Geog
Volume 15 Issue 1 Pages 217-246
Keywords Nighttime lights; luminosity; output measurement; national accounts; proxy measures; social science; economics; remote sensing
Abstract Much aggregate social-science analysis relies upon the standard national income and product accounts as a source of economic data. These are recognized to be defective in many poor countries, and are missing at the regional level for large parts of the world. Using updated luminosity (or nighttime lights) data, the present study examines whether such data contain useful information for estimating national and regional incomes and output. The bootstrap method is used for estimating the statistical precision of the estimates of the contribution of the lights proxy. We conclude that there may be substantial cross-sectional information in lights data for countries with low-quality statistical systems. However, lights data provide very little additional information for countries with high-quality data wherever standard data are available. The largest statistical concerns arise from uncertainties about the precision of standard national accounts data.
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Publisher Oxford University Press Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 363
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