Quantification through deep learning of sky view factor and greenery on urban streets during hot and cool seasons-Reference-Cited by-同舟云学术

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Quantification through deep learning of sky view factor and greenery on urban streets during hot and cool seasons

Published:2023-04 Issue: Volume:232 Page:104679
ISSN:0169-2046
Container-title:Landscape and Urban Planning
language:en
Short-container-title:Landscape and Urban Planning

Author:

Chiang Yen-Cheng,Liu Ho-Hsun,Li Dongying,Ho Li-Chih

Funder

Ministry of Science and Technology, Taiwan

National Academies of Sciences Engineering and Medicine

National Science and Technology Council

Gulf Research Program

Houston Methodist Hospital

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology,Urban Studies

Reference69 articles.

1. Effects of city expansion on heat stress under climate change conditions;Argüeso;PLoS One,2015

2. ASHRAE. (2004). ASHRAE Standard55-2004: Thermal Environmental Conditions for Human Occupancy. Atlanta: American Society of Heating, Refrigerating and Air Conditioning Engineers. doi: 10.1121/1.4743243.

3. Sky view factor calculation in urban context: Computational performance and accuracy analysis of two open and free GIS tools;Bernard;Climate,2018

4. 2021 Statistical yearbook;Budget, Accounting and Statistics Office,2021

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