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Author Checa, J.; Nel·lo, O.
Title Urban Intensities. The Urbanization of the Iberian Mediterranean Coast in the Light of Nighttime Satellite Images of the Earth Type Journal Article
Year 2018 Publication (down) Urban Science Abbreviated Journal Urban Science
Volume 2 Issue 4 Pages 115
Keywords Remote Sensing; Tourism
Abstract The contribution shares the approach of critical urban studies that have conceptualized urbanization more as a process than as a sum of spatial forms. Thus, the contribution studies the urbanization process not only from the point of view of the physical occupation of land but also considers changes in the intensity of the uses of space. To fulfill this aim, the new sources of nocturnal satellite images are particularly useful. These allow us to observe the intensity of urban uses both in terms of their distribution over space and their recurrence over time. The research focuses on the Iberian Mediterranean coast and permits the verification of the intensity of the urban uses of the space for the whole of this area and their seasonal variations throughout the year. The source of the study are the nighttime satellite images of the Earth for the 2012–2017 period from the NASA SNPP satellite equipped with the VIIRS-DNB instrument. By establishing a threshold of urban light the research shows that those districts with the greatest extensions of urban light do not necessarily correspond with the most densely populated areas. Similarly the absence of urban light does not necessarily indicate the absence of urban uses. Finally, the variations of intensity of light prove to be a good indicator of seasonal variations of activity in tourist areas.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2413-8851 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2120
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Author Roychowdhury, K.; Jones, S.; Arrowsmith, C.; Reinke, K.
Title Indian census using satellite images: Can DMSP-OLS data be used for small administrative regions? Type Journal Article
Year 2011 Publication (down) Urban Remote Sensing Event (JURSE), 2011 Joint Abbreviated Journal
Volume Issue Pages 153 - 156
Keywords Remote Sensing; India; South Asia; DMSP; DMSP-OLS
Abstract India conducts its census every ten years. Census data is collected manually in India with enumerators visiting every household in the country. Being such a vast country (in terms of area) and with a population of more than 1 billion, manual data collection is a laborious and expensive process. In response, this paper proposes a surrogate census method using DMSP-OLS night-time images. The study focuses on smaller administrative regions such as sub-districts (or taluks as they are known in the country) in the state of Maharashtra. Models are proposed using selected census metrics, and mean and standard deviation of stable lights and brightness information as obtained from the satellite images. The adjusted r2 values range from 0.2 to 0.8 at 95% confidence interval, with the majority of the metrics being moderately correlated (with r2 between 0.4 and 0.7). Generally it was found that the observed lights and brightness of big rural settlements from DMSP-OLS images have the potential for predicting certain census metrics. However, unlike larger areas such as districts where DMSP-OLS night-time images adequately predict census metrics, at the sub-district level the results need to be supplemented and validated with other information sources such as survey reports.
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 490
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Author Roychowdhury, K.; Taubenbock, H.; Jones, S.
Title Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images Type Journal Article
Year 2011 Publication (down) Urban Remote Sensing Event (JURSE), 2011 Joint Abbreviated Journal
Volume Issue Pages 33 - 36
Keywords Remote Sensing
Abstract The number and size of urban settlements are increasing in all the continents of the world at a rapid pace. Urban sprawl is associated not only with changes in landcover and area, but also ecological, climate and social transformations. Mapping the growth and spread of urban areas is important. Remote sensing has long been used to map human settlements. Today the availability of a large number of satellites and sensors, determining the appropriate image to map urban area is a research area itself. This study compares two satellite images: Landsat Enhanced Thematic Mapper data and Defence Meteorological Satellite Program, Operational Linescan System image to map the urban footprint of the city of Hyderabad, India. Landsat ETM data is captured during the daytime and gives spectral reflectance values while the DMSP-OLS data captures artificial lights from human settlements at night and produces brightness information. The results show an accuracy of more than 90% in the classification and delineation of urban, suburban and rural landcover types. This study shows that in addition to spectral reflectance captured by satellites from different features on the earth surface during the daytime, differences in the degree of brightness of the lights emitted from urban areas at night is also an effective indicator in delineating landcover types.
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Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 491
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Author Kumar, P.; Rehman, S.; Sajjad, H.; Tripathy, B.R.; Rani, M.; Singh, S.
Title Analyzing trend in artificial light pollution pattern in India using NTL sensor's data Type Journal Article
Year 2019 Publication (down) Urban Climate Abbreviated Journal Urban Climate
Volume 27 Issue Pages 272-283
Keywords Remote Sensing; India; DMSP; DMSP-OLS
Abstract Exponential growth of population and the resultant rapid rate of urbanization and industrialization in India have significantly transformed its nighttime light environment. The study makes an attempt to analyze the spatio-temporal pattern of light pollution and its causative actors in a fast-developing economy. We utilized nighttime light data from 1993 to 2013 and calibrated through linear regression. Ten patches of major changes from the whole study area were selected to assess the intensity of light pollution at regional scale. Spatial analysis of light pollution in selected patches revealed that New Delhi, Telangana, Maharashtra, Karnataka and Uttar Pradesh experienced increase in very high light pollution intensity. West Bengal, Gujarat and Tamil Nadu witnessed a remarkable change from low to high light pollution. Urban expansion, industrial development and air pollution are main drivers for increasing light pollution. Strong correlation was found between light pollution and digital numbers (DN) values at regional scale. The maps generated through Defense Meteorological Satellite Program Operational Line Scanner Night Time Light data not only helped in assessing the intensity of light pollution but also identified its causative actors.The results of study can effectively be utilized for setting priorities of environmental protection in different geographical regions at various scales.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2212-0955 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2144
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Author Mpakairi, K.S.; Muvengwi, J.
Title Night-time lights and their influence on summer night land surface temperature in two urban cities of Zimbabwe: A geospatial perspective Type Journal Article
Year 2019 Publication (down) Urban Climate Abbreviated Journal Urban Climate
Volume 29 Issue Pages 100468
Keywords Remote Sensing
Abstract Owing to the developments that exist in urban landscapes, urban areas experience climates that are different from their surroundings even when in the same climatic region. This is a prominent phenomenon in most urban areas and is commonly known as Surface Urban Heat Island (SUHI). An understanding of some of the drivers of SUHI is imperative for cities worldwide if they endeavor to suppress the socio-economic mishaps related to extremely high UHI. In this study, we sought to explain the drivers of SUHI in two developing cities in Zimbabwe using remote sensing data. We do this through the use of a classification and regression model. The model used climate, land descriptors and anthropogenic activity data as predictor variables against summer night land surface temperature. Using the coefficient of determination (R2) and the root mean square error (RMSE) for evaluation, modelled SUHI was strongly related to actual SUHI. We also found out that night-time lights, a proxy of anthropogenic activity, contributed more to summer night surface urban heat island as compared to other variables used in the study. This study adds more knowledge on the likely drivers of UHI for southern African cities. By identifying SUHI drivers in urban cities, it is plausible to formulate policies or initiatives that regulate extreme summer night SUHI.
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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 2212-0955 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2497
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