EventsOHOW 2023 – The 2nd International Symposium on One Health, One World
Published
This submission belongs to the session USDM. Urban Safety & Disaster Mitigation of the event OHOW 2023 – The 2nd International Symposium on One Health, One World
Published date
16 Apr, 2024
Academic Editor
author-avatarWataru Takeuchi
Citation
So Fumiyama, Wataru Takeuchi, Investigating angular effects of nighttime light and urban typology in Tokyo with remote sensing, in Proceedings of OHOW 2023 – The 2nd International Symposium on One Health, One World, Dhaka University, Dhaka, 6 December–8 December 2023, MDPI: Basel, Switzerland
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Investigating angular effects of nighttime light and urban typology in Tokyo with remote sensing

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1. Institute of Industrial Science, The University of Tokyo, Japan, Japan
Abstract

Satellite observations of nighttime light (NTL) play a vital role in monitoring urban dynamics. As NTL is observed from varying angles on a day-to-day basis, daily NTL data exhibits periodic fluctuations known as the angular effect. This phenomenon is believed to be closely linked to the three-dimensional (3-D) distribution of light sources. Therefore, our objective was to develop a model that can estimate 3-D urban structure based on NTL data by investigating the relationship between the angular effect and urban morphology. Firstly, we classified urban geometries using 3-D building model data and street data in Tokyo. Then, we compared these categorized urban structures with the observed angular effects. Our findings indicate a correlation between angular effects and specific urban structures, particularly in residential areas and districts characterized by dense high-rise buildings. The findings of this study provide a basis for using the angular effect to estimate urban structure. Expanding similar analyses to other cities will enable us to build a comprehensive model for urban structure estimation using NTL data. Such a model could provide more in-depth insights into urban land use, beyond the capabilities of traditional land cover classifications, especially in data-scarce regions.

Keywords
Nighttime Light
Urban Structure
Land Use
Building Model
Angular Effect
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