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Mapping Development Pattern in China Using DMSP/OLS Nighttime Light Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Unbalanced development may cause problems like inequality of living conditions and the lack of sustainability. Studies based on statistical data can hardly reveal the detailed characteristics of unbalanced development due to the limitation of statistical units, while the application of remote sensing data provides an effective solution.
Yi'na Hu, Kun Qi, Tao Hu
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A cluster-based method to map urban area from DMSP/OLS nightlights
Accurate information on urban areas at regional and global scales is important for both the science and policy-making communities. The Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable light data (NTL ...
Allison M Thomson +2 more
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House vacancy at urban areas in China with nocturnal light data of DMSP-OLS
Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011Night light brightness value by remote sensing has been important data source for urban context studies owning to be objective, real time, low cost and connection with spatial data easily. Housing is a critical issue for urban development. House vacancy can be calculated by two indicators.
Yongling Yao, Yao Li
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A new approach to the application of DMSP/OLS nighttime light data to urbanization assessment
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012In this study, we proposed a new method for extracting urban built-up area from satellite-based nighttime light data. Our methods are based on locally thresholding correction of nighttime lights in association with economic statistical data (termed TC-ESD).
Junfu Fan +3 more
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The urbanization process of Bohai Rim in the 1990s by using DMSP/OLS data
Journal of Geographical Sciences, 2006This paper firstly derived urban information from Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) data in 1992, 1996 and 1998 with the support of statistical data, and then developed three basic urban models of polygon-urbanization, line-urbanization and point-urbanization in urban agglomerations from viewpoint of ...
Chunyang He +8 more
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Urbanization process involving increased population size, spatially extended land cover and intensified economic activity plays a substantial role in anthropogenic environment changes.
Junfu Fan, Ting Ma, Tao Pei
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Comparative evaluation of relative calibration methods for DMSP/OLS nighttime lights
Remote Sensing of Environment, 2017Abstract With over two decades of historical observations, DMSP/OLS nighttime lights (NTL) are an invaluable asset for monitoring, characterizing, and understanding human activity. Due to the lack of on-board calibration, there are systematic biases in NTL data.
Bhartendu Pandey +2 more
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Calculation methods of territorial development intensity using DMSP/OLS data
2011 19th International Conference on Geoinformatics, 2011The nighttime lights collected by the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) have a number of favorable characteristics for depicting the spatial patterns of Constructed surfaces on large scale.
Tao Yuan, Xinqi Zheng, Wei Zhou
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Analysis of territorial development intensity in China using DMSP/OLS data
IET International Conference on Smart and Sustainable City (ICSSC 2011), 2011Statistical analysis of territorial development intensity (TDI) from macroscopic angle has become even more important and urgent. Comparing with any other available satellite data source, the nighttime lights collected by DMSP/OLS have a number of favorable characteristics for depicting the spatial patterns of Constructed surfaces on large scale.
null Tao Yuan +2 more
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Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery
Remote Sensing of Environment, 2020Abstract In the last two decades, the advance in nighttime light (NTL) remote sensing has fueled a surge in extensive research towards mapping human footprints. Nevertheless, the full potential of NTL data is largely constrained by the blooming effect.
Qiming Zheng, Qihao Weng, Ke Wang
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