Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

Shi, Kaifang; Huang, Chang; Yu, Bailang; Yin, Bing; Huang, Ying; Wu, Jianping

doi:10.1080/2150704x.2014.905728

Cited by 318 publications

(172 citation statements)

References 30 publications

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“…The VIIRS images, first released in 2012, are a relatively new alternative to the longer-running and more frequently utilized U.S. Department of Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) NTL dataset. The VIIRS, with a much finer spatial resolution (750 m vs. 2.7 km), lower detection limit, and substantially less saturation in dense urban areas provides better detail and avoids DMSP-OLS's "over-glow" effect [50][51][52]. The superiority of the VIIRS dataset is most pronounced in dense urban areas where it is markedly better and discriminating high light intensity levels relative to DMSP-OLS.…”

Section: Night-time Lights Analysismentioning

confidence: 87%

Sustainable Urban Development? Exploring the Locational Attributes of LEED-ND Projects in the United States through a GIS Analysis of Light Intensity and Land Use

Smith

Bereitschaft

2016

Sustainability

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LEED ® -ND™ is the latest attempt to develop more sustainable urban environs in the United States. The LEED ® -ND™ program was created to provide a green rating system that would improve the quality of life for all people through the inclusion of sustainable development practices. To achieve this, a premium is placed on the locational attributes of proposed projects under the "Smart Location and Linkages" credit category. The purpose of this paper is to explore the locational attributes of LEED ® -ND™ projects in the United States to determine if projects are being located in areas that will result in achieving the program's stated objectives. Specifically, this paper will examine two locational variables (i.e., night-time light intensity and land use cover) through the use of GIS to determine the effectiveness of these criteria.

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Section: Night-time Lights Analysismentioning

confidence: 87%

Sustainable Urban Development? Exploring the Locational Attributes of LEED-ND Projects in the United States through a GIS Analysis of Light Intensity and Land Use

Smith

Bereitschaft

2016

Sustainability

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“…A downside of night-time imagery, particularly DMSP-OLS data, though, is their tendency to overestimate urban areas because of a blooming effect, of the sensor properties, and/or cumulative georeferencing errors [76]. The newer VIIRS sensor outperforms the DMSP-OLS system through improved spatial, radiometric and spectral resolution [77] as well as accuracy [78]. However, since VIIRS data have only been available since 2012, we use DMSP-OLS stable lights from 2010 in this study.…”

Section: Multi-source Geodata Setsmentioning

confidence: 99%

Are We in Boswash Yet? A Multi-Source Geodata Approach to Spatially Delimit Urban Corridors

Georg

Blaschke

Taubenböck

2018

IJGI

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Abstract:The delimitation of urban space is conceptually elusive and fuzzy. Commonly, urban areas are delimited through administrative boundaries. These artificial, fixed boundaries, however, do not necessarily represent the actual built-up extent, the urban catchment, or the economic linkage within and across neighboring metropolitan regions. For an approach to spatially delimit an urban corridor-a generically defined concept of a massive urban area-we use the Boston to Washington (Boswash) region as an example. This area has been consistently conceptualized in literature as bounded urban space. We develop a method to spatially delimit the urban corridor using multi-source geodata (built-up extent, infrastructure and socioeconomic data) which are based on a grid rather than on administrative units. Threshold approaches for the input data serve to construct Boswash as varying connected territorial spaces, allowing us to investigate the variability of possible spatial forms of the area, i.e., to overcome the simple dichotomous classification in favor of a probability-based differentiation. Our transparent multi-layer approach, validated through income data, can easily be modified by using different input datasets while maintaining the underlying idea that the likelihood of an area being part of an urban corridor is flexible, i.e., in our case a factor of how many input layers return positive results.

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“…Although nighttime images collected from the VIIRS sensor have been released, empirical research based on these datasets is rare. Comparing results of studies on the same research topic between the old OLS images and the new VIIRS images will allow us to further understand the advancement and intrinsic limitations of the new database [80][81][82][83][84]. Therefore, it can answer a series of research questions, such as how does the VIIRS images perform in overcoming the saturation and blooming phenomena in OLS images; does the improved quality of VIIRS images contribute to better estimations of social-economic parameters, and how to fuse the data from the two sensors?…”

Section: Major Challengesmentioning

confidence: 99%

Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review

et al. 2014

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Since the release of the digital archives of Defense Meteorological Satellite Program Operational Line Scanner (DMSP/OLS) nighttime light data in 1992, a variety of datasets based on this database have been produced and applied to monitor and analyze human activities and natural phenomena. However, differences among these datasets and how they have been applied may potentially confuse researchers working with these data. In this paper, we review the ways in which data from DMSP/OLS nighttime light images have been applied over the past two decades, focusing on differences in data processing, research trends, and the methods used among the different application areas. Five main datasets extracted from this database have led to many studies in various research areas over the last 20 years, and each dataset has its own strengths and limitations. The number of publications based on this database and the diversity of authors and institutions involved have shown promising growth. In addition, researchers have accumulated vast experience OPEN ACCESS Remote Sens. 2014, 6 6845 retrieving data on the spatial and temporal dynamics of settlement, demographics, and socioeconomic parameters, which are "hotspot" applications in this field. Researchers continue to develop novel ways to extract more information from the DMSP/OLS database and apply the data to interdisciplinary research topics. We believe that DMSP/OLS nighttime light data will play an important role in monitoring and analyzing human activities and natural phenomena from space in the future, particularly over the long term. A transparent platform that encourages data sharing, communication, and discussion of extraction methods and synthesis activities will benefit researchers as well as public and political stakeholders.

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Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

Cited by 318 publications

References 30 publications

Sustainable Urban Development? Exploring the Locational Attributes of LEED-ND Projects in the United States through a GIS Analysis of Light Intensity and Land Use

Sustainable Urban Development? Exploring the Locational Attributes of LEED-ND Projects in the United States through a GIS Analysis of Light Intensity and Land Use

Are We in Boswash Yet? A Multi-Source Geodata Approach to Spatially Delimit Urban Corridors

Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review

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