Modeling the direction and magnitude of angular effects in nighttime light remote sensing
Topics: Remote Sensing
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Keywords: nighttime light, VIIRS DNB, Black Marble, angular effect, artificial light radiance
Session Type: Virtual Paper Abstract
Day: Saturday
Session Start / End Time: 2/26/2022 11:20 AM (Eastern Time (US & Canada)) - 2/26/2022 12:40 PM (Eastern Time (US & Canada))
Room: Virtual 15
Authors:
Xiaoyue Tan, The Hong Kong Polytechnic University
Xiaolin Zhu, The Hong Kong Polytechnic University
Jin Chen, Beijing Normal University
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Abstract
Remote sensing of nighttime light (NTL) offers a unique opportunity of monitoring urban dynamics and human socio-economic activity directly from space. However, angular observations lead to inconsistency between multiple observations, introducing uncertainty into the NTL time series. This study aims to investigate the angular effect and its drivers using the Black Marble dataset. Firstly, we proposed a conceptual model of the angular effect and derived the mechanism of urban landscape forming the angular effect. Secondly, we investigated the spatial patterns of the angular effect within cities, and found three typical relationships between the satellite observed radiance and the viewing zenith angle: negative, U-shape, and positive. Subsequently, the contribution of 3-D landscape factors is quantified using multinomial logistic regression and mediation analysis. The results suggest that landscape forms different directions of angular effects by affecting the blocked and visible parts of artificial light, with building height being the most decisive factor. The landscape not only directly contributes to the magnitude of angular effect by determining blocked and visible artificial light, but also indirectly contributes to the magnitude by affecting the artificial light emission. Both vegetation and buildings are proved to be significantly influential factors that hold the direct and indirect effects. The findings of this research could bring potential inspiration for reconstructing high-quality NTL time series and interpreting the vertical information from angular observations of urban areas at night.
Modeling the direction and magnitude of angular effects in nighttime light remote sensing
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Virtual Paper Abstract
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