Results 31 to 40 of about 6,493 (253)
Remote Sensing, 2017 Nighttime light data can characterize urbanization, economic development, population density, energy consumption and other human activities. Additionally, carbon dioxide (CO2) emissions are closely related to the scope and intensity of human activities ...
Xiwen Zhang +3 more
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Applied Sciences, 2020 In recent years, vision-based vehicle detection has received considerable attention in the literature. Depending on the ambient illuminance, vehicle detection methods are classified as daytime and nighttime detection methods.
Tuan-Anh Pham, Myungsik Yoo
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Redai dili, 2022 With accelerated urbanization, urban nighttime crimes—especially robbery, snatching, and theft—have received increasing attention from scholars as the highest incidence of local criminal crimes.
Wang Canxiang +5 more
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A Multi-scale features-based cloud detection method for Suomi-NPP VIIRS day and night imagery [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesCloud detection is a necessary step before the application of remote sensing images. However, most methods focus on cloud detection in daytime remote sensing images.
J. Li +5 more
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Frontiers in Environmental Science, 2023 The nighttime lights accurately and coherently depict how humans live. This study uses nighttime light measurements to quantify changes in nighttime lighting and refugee population in Ukraine before and after the war.
Chaoqing Huang +6 more
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Everynight Accounting: Nighttime Lights as a Proxy for Economic Performance of Regions
Remote Sensing, 2022 Artificial nighttime lights, emitted from residential, industrial, commercial and entertainment areas, and captured by satellites, have proven to be a reliable proxy for on-ground human activities [...]
Nataliya Rybnikova
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Which Nighttime Lights Data Better Represent India’s Economic Activities and Regional Inequality?
Asian Development ReviewThis paper demonstrates how the estimation of economic activities and inequality for the Indian economy based on nighttime lights data from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite outperforms those obtained using traditional ...
CHRISTOPHER KURUVILLA MATHEN +3 more
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Fine Classification of UAV Urban Nighttime Light Images Based on Object-Oriented Approach
Sensors, 2023 Fine classification of urban nighttime lighting is a key prerequisite step for small-scale nighttime urban research. In order to fill the gap of high-resolution urban nighttime light image classification and recognition research, this paper is based on a
Daoquan Zhang +3 more
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A global record of annual terrestrial Human Footprint dataset from 2000 to 2018
Scientific Data, 2022 Measurement(s) human footprint Technology Type(s) remote sensing Factor Type(s) Built Environment • Population Density • Nighttime lights • Croplands • Pastures • Roads • Railways • Navigable ...
Haowei Mu +7 more
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Assessing the economic loss due to natural disasters from outer space
Climate Services, 2022 We propose an innovative approach to provide climate service by using the geographic distributions of natural disasters, assets exposed to disasters, and nighttime lights to estimate the potential benefit of climate-change adaptation through the economic
Yuan Cheng, Xuehui Han
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