Estimation of Mean Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul

Extreme heat exposure has severe negative impacts on humans, and the issue is exacerbated by climate change. Estimating spatial heat stress such as mean radiant temperature (MRT) is currently difficult to apply at city scale. This study constructed a method for estimating the MRT of street canyons u...

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Bibliographic Details
Published in:	Remote Sensing
Main Authors:	Eun-Sub Kim, Seok-Hwan Yun, Chae-Yeon Park, Han-Kyul Heo, Dong-Kun Lee
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Subjects:	Street canyon Google Street View deep learning mean radiant temperature thermal comfort
Online Access:	https://www.mdpi.com/2072-4292/14/2/260

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