Analyzing the Influencing Factors of Urban Thermal Field Intensity Using Big-Data-Based GIS-Reference-Cited by-同舟云学术

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Analyzing the Influencing Factors of Urban Thermal Field Intensity Using Big-Data-Based GIS

Published:2020-04 Issue: Volume:55 Page:102024
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Huanchun Huang,Hailin Yang,Xin Deng,Cui Hao,Zhifeng Liu,Wei Liu,Peng Zeng

Funder

National Natural Science Foundation of China

Top-notch Academic Programs Project of Jiangsu

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference47 articles.

1. Quantifying the daytime and night-time urban heat island in Birmingham: a comparison of satellite derived land surface temperature and high resolution;Azevedo;Remote Sensing,2016

2. High resolution surface temperature patterns in a complex urban terrain;Balling;Photogrammetric Engineering and Remote Sensing,1988

3. Evaluating the cooling effects of green infrastructure: a systematic review of methods, indicators and data sources;Bartesaghi;Solar Energy,2018

4. Urban heat island intensity mapping of Las Vegas using Landsat thermal infrared Data;Black,2019

5. Heat load assessment in central European cities using an urban climate model and observational monitoring data;Bokwa;Energy and buildings,2019

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1. Analysing urban local cold air dynamics and climate functional zones using interpretable machine learning: A case study of Tianhe district, Guangzhou;Sustainable Cities and Society;2024-11

2. Impact of block morphology on urban thermal environment with the consideration of spatial heterogeneity;Sustainable Cities and Society;2024-10

3. Linkages between urban growth and land surface temperature variations in the Seoul metropolitan area: A spatial first-order difference approach;Sustainable Cities and Society;2024-08

4. Mapping urban heat: Unveiling nature-based solutions in Sari City, Iran.;Urban Climate;2024-05

5. Time series procession for monitoring land disturbance caused by surface coal mining in China;Journal of Cleaner Production;2024-04

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