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GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery [PDF]

Remote Sensing, 2017
Accurate data on gross domestic product (GDP) at pixel level are needed to understand the dynamics of regional economies. GDP spatialization is the basis of quantitative analysis on economic diversities of different administrative divisions and areas with different natural or humanistic attributes.
Min Zhao, Weiming Cheng, Chenghu Zhou
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Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery

Remote Sensing of Environment, 2020
Abstract 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
openaire   +1 more source

Detection of Multidimensional Poverty Using Luojia 1-01 Nighttime Light Imagery

Journal of the Indian Society of Remote Sensing, 2020
Poverty is a complex social problem, and accurate poverty identification is a key step for creating strategies to eliminate poverty. The Luojia 1-01 satellite is part of a new generation of professional nighttime light remote sensing that was successfully launched on July 2, 2018, and has provided 130-m high-resolution nighttime light images for ...
Chengsong Li, Wunian Yang, Qiaolin Tang, Xiaolu Tang, Junjie Lei, Mingyan Wu, Shuyue Qiu   +6 more
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Monitoring the electric power consumption by lighting from DMSP/OLS nighttime satellite imagery

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
In this study, we attempted to estimate the electric power consumption using the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) stable light imagery after correction for saturation effected. Digital numbers (DNs) of a stable light image are saturated in the center of city areas.
Husi Letu, Gegen Tana, Masanao Hara, Fumihiko Nishio   +3 more
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Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul

Environmental Monitoring and Assessment, 2020
Demography researchers and scientists have been effectively utilizing advanced technologies and methods such as geographical information systems, spatial statistics, georeferenced data, and satellite images for the last 25 years. Areal interpolation methods have also been adopted for the development of population density maps which are essential for a ...
Zeynep, Ortakavak, Saye Nihan, Çabuk, Mehmet, Cetin, Muzeyyen Anil, Senyel Kurkcuoglu, Alper, Cabuk   +4 more
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Estimating the energy consumption with nighttime city light from the DMSP/OLS imagery

2009 Joint Urban Remote Sensing Event, 2009
A methodology is presented to accurately estimate electric power consumption from saturated nighttime DMSP/OLS imagery using a stable light correction. An area correction for the stable light image of DMSP/OLS for the year 1999 was performed and the building area rate data were used to clarify the intensity distribution characteristics of the stable ...
Husi Letu, Masanao Hara, Hiroshi Yagi, Gegen Tana, Fumihiko Nishio   +4 more
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Updating urban extents with nighttime light imagery by using an object-based thresholding method

Remote Sensing of Environment, 2016
Abstract To address the problem of assessing large-scale urban dynamics from incompatible time series DMSP/OLS night-time light (NTL) data, this study proposed an Object-based Urban Thresholding method for NTL image data (i.e., NTL-OUT method) to estimate the optimal thresholds of urban objects in different NTL images.
Yanhua Xie, Qihao Weng
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Monitoring urban resilience using fine‑resolution satellite nighttime light imagery

Urban resilience—the capacity of cities and their constituent sectors to absorb, adapt to, and recover from disruptive shocks—has become a central concern for sustainable urban development, particularly in response to the COVID-19 pandemic and the unprecedented lockdown measures implemented worldwide.
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Extension and variability of impervious surface area revealed by nighttime light imagery

International Journal of Environmental Science and Technology
F. S. Kawakubo, G. A. V. Mataveli, E. F. Justiniano, J. V. R. Guerrero, B. M. de Melo, E. R. dos Santos Júnior, R. S. S. Marinho, M. R. Martines, M. Fantin, J. C. Pedrassoli, R. G. Morato   +10 more
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A nighttime light imagery estimation of ethnic disparity in economic well-being in mainland China and Taiwan (2001–2013)

Eurasian Geography and Economics, 2014
Jianzheng Liu, Weifeng Li
exaly