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Author Tan, M.
Title (down) Use of an inside buffer method to extract the extent of urban areas from DMSP/OLS night-time light data in North China Type Journal Article
Year 2016 Publication GIScience & Remote Sensing Abbreviated Journal GIScience & Remote Sensing
Volume 53 Issue 4 Pages 444-458
Keywords Remote Sensing; DMSP-OLS; OLS; DMSP; inside buffer model; China; over-glow; urban areas; urban; urbanism
Abstract Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) night-time imagery provides a valuable data source for mapping urban areas. However, the spatial extents of large cities are often over-estimated because of the effect of over-glow from night-time light if a fixed thresholding technique is used. In the work reported here, an inside buffer method was developed to solve this issue. The method is based on the fact that the area over-estimated is proportional to the extent of the lit area if a fixed threshold is used to extract urban areas in a region/county. Using this method, the extents of urban areas in North China were extracted and validated by interpretations from Landsat Thematic Mapper images. The results showed that the lit areas had a significant linear relationship with the urban areas for 120 representative cities in North China in 2000, with an R2 value of over 0.95. This demonstrates that the inside buffer method can be used to extract urban areas. The validation results showed that the inside buffer model developed in 2000 can be directly used to extract the extent of urban areas using more recent night-time light imagery. This is of great value for the timely updating of urban area databases in large regions or countries.
Address Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, People’s Republic of 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 1548-1603 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1352
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Author Stathakis, D.; Tselios, V.; Faraslis, I.
Title (down) Urbanization in European regions based on night lights Type Journal Article
Year 2015 Publication Remote Sensing Applications: Society and Environment Abbreviated Journal Remote Sensing Applications: Society and Environment
Volume 2 Issue Pages 26-34
Keywords remote sensing
Abstract
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 2352-9385 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1297
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Author Ratnasari, N.; Candra, E.D.; Saputra, D.H.; Perdana, A.P.
Title (down) Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information Type Journal Article
Year 2016 Publication IOP Conference Series: Earth and Environmental Science Abbreviated Journal IOP Conf. Ser.: Earth Environ. Sci.
Volume 47 Issue Pages 012038
Keywords remote sensing; geo-social media; spatial pattern; spatial interaction; urban; Indonesia
Abstract Urban development in Indonesia significantly increasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS (Visible Infrared Imaging Radiometer Suite) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.
Address Undergraduate Program of Cartography and Remote Sensing, Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; nila.ratnasari(at)mail.ugm.ac.id
Corporate Author Thesis
Publisher IOP Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1755-1307 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 1653
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Author Li, X.; Zhou, Y.
Title (down) Urban mapping using DMSP/OLS stable night-time light: a review Type Journal Article
Year 2017 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 38 Issue 21 Pages 6030-6046
Keywords Remote Sensing; Review
Abstract The Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) stable night-time light (NTL) data showed great potential in urban extent mapping across a variety of scales with historical records dating back to 1990s. In order to advance this data, a systematic methodology review on NTL-based urban extent mapping was carried out, with emphases on four aspects including the saturation of luminosity, the blooming effect, the intercalibration of time series, and their temporal pattern adjustment. We think ancillary features (e.g. land surface conditions and socioeconomic activities) can help reveal more spatial details in urban core regions with high digital number (DN) values. In addition, dynamic optimal thresholds are needed to address issues of different exaggeration of NTL data in the large scale urban mapping. Then, we reviewed three key aspects (reference region, reference satellite/year, and calibration model) in the current intercalibration framework of NTL time series, and summarized major reference regions in literature that were used for intercalibration, which is critical to achieve a globally consistent series of NTL DN values over years. Moreover, adjustment of temporal pattern on intercalibrated NTL series is needed to trace the urban sprawl process, particularly in rapidly developing regions. In addition, we analysed those applications for urban extent mapping based on the new generation NTL data of Visible/Infrared Imager/Radiometer Suite. Finally, we prospected the challenges and opportunities including the improvement of temporally inconsistent NTL series, mitigation of spatial heterogeneity of blooming effect in NTL, and synthesis of different NTL satellites, in global urban extent mapping.
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 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2222
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Author Hu, X.; Qian, Y.; Pickett, S.T.A.; Zhou, W.
Title (down) Urban mapping needs up-to-date approaches to provide diverse perspectives of current urbanization: A novel attempt to map urban areas with nighttime light data Type Journal Article
Year 2020 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning
Volume 195 Issue Pages in press
Keywords Remote Sensing
Abstract Quantifying the spatial and temporal changes of urban extent is important for understanding the burgeoning process of urbanization. Numerous well-performing methods have been used to map urban areas and detect urban changes using nighttime light data, but many of these methods assume that the urban area is equivalent to regions with high percentages of impervious surfaces or developed land. We present an approach to efficiently map urban areas at the regional scale, which also provides opportunities to recognize urban extents from different theoretical perspectives. In our approach, appropriate demarcating criteria and urban indicators were chosen based on understanding the current state of urbanization of the study area. After object-based segmentation and detection of initial urban centers, urban patches are discerned by expanding from these initial urban centers through a grouping algorithm, delineating the relative fringes of the urban area. We tested this new approach for mainland China, using 2010 Defense Meteorological Satellite Program/Operational Linescan System nighttime light data and county-level administrative units. We found a total urban area of 146,806  spread across 2489 counties and amounting to 1.5% of the land in mainland China. The delineated boundary of the urban patches had different values by compass direction. Mean values of fringes and sizes of different urban patches varied greatly across regions. We detected all provincial capitals, 97.3% of the prefecture-level cities and 91.0% of the county-level cities. This approach is thus capable of identifying urban patches with reliable accuracy at the regional scale.
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 0169-2046 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2763
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