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International Journal of Applied Earth Observation and Geoinformation, 2019 Abstract Impervious surface detection is significant to urban dynamic monitoring and environment management. One of the most effective approaches to evaluating the impervious surface is the use of nighttime light imagery. However, little work on this subject was carried out with the new generation nighttime light data from Luojia 1-01 satellite ...
Jinpei Ou, Penghua Liu, Xiaoping Liu
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An Improved Index for Desaturation of DMSP Nighttime Light Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018With the spread of Defense Meteorological Satellite Program (DMSP) data, it has played an important role in fields including urbanization and extraction of urban factors. However, the DMSP nighttime light (NTL) data is saturated in urban centers with high light intensity, resulting in not only the decrease on the DN data in nighttime light data of ...
Xiaolong Ma +4 more
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Quantitative Evaluation for the Blooming Effect of Nighttime Light Data in China
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019In recent years, nighttime light (NTL) data has been widely used in the urban associated researches thanks to its ability in characterizing human’s activity. NTL data has an advantage on detecting urban areas and reflecting economic conditions. However, NTL data has two main problems: saturation and blooming effect.
Yang Hu, Xin Cao 0002, Jin Chen 0001
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Airport’s Throughput Estimation Using Nighttime Light Data in China Mainland
IEEE Geoscience and Remote Sensing Letters, 2021Accurate information about the airport’s throughput is crucial for monitoring traffic flow, evaluating the development status of aviation industry. In this letter, we used the Suomi National Polar-orbiting Partnership-Visible Infrared Imaging Radiometer (NPP-VIIRS) and the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS)
Mingguo Ma, Wei Ge, Kaifang Shi
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QGIS Data for Canadian Population, PM2.5, Nighttime lights.
2023هذه هي مجموعة البيانات لتحليل QGIS للسكان الكنديين، PM2.5، أضواء ليلية.
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Improving Nighttime Light Imagery With Location-Based Social Media Data
IEEE Transactions on Geoscience and Remote Sensing, 2019Location-based social media have been extensively utilized in the concept of “social sensing” to exploit dynamic information about human activities, yet joint uses of social sensing and remote sensing images are underdeveloped at present. In this paper, the close relationship between the number of Twitter users and brightness of nighttime lights (NTL ...
Naizhuo Zhao +5 more
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Investigating the Potential of Nighttime Light Data to Estimate Travel Demand
Transactions in GISABSTRACTTaking the bike‐sharing travel demand (BSTD) as an example, this study investigates the potential of Nighttime Light (NTL) data to optimize forecasting performance and replace the land use factors. Stepwise regression is trained with the travel demand in each unit as the dependent variable, and land use factors are introduced as the independent
Chao Sun, Jian Lu
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Urban-Rural Fringe Recognition with the Integration of Optical and Nighttime Lights Data
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Spatial identification of urban-rural fringes (URF) is crucial for monitoring urban sprawl and mapping out urban management planning. This paper proposes an efficient approach for extracting URF, integrating optical and nighttime lights (NTL) data.
Xiaolin Chen +2 more
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Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data
Journal of the Indian Society of Remote Sensing, 2018When assessing remote sensing data, nighttime light data have shortcomings that can be attributed to sensor limitations and the influence of the natural environment. Signal leakage errors in nighttime light data were identified in this study. A regression model was created to reduce signal leakage error by selecting sampling points in coastal area ...
Yang Cao +7 more
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Nighttime lights data and their implications for IB research
Journal of International Management, 2023Daniel Shapiro +2 more
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