Improved machine-learning mapping of local climate zones in metropolitan areas using composite Earth observation data in Google Earth Engine-Reference-Cited by-同舟云学术

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Improved machine-learning mapping of local climate zones in metropolitan areas using composite Earth observation data in Google Earth Engine

Published:2021-07 Issue: Volume:199 Page:107879
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Hay Chung Lamuel Chi^ORCID,Xie Jing^ORCID,Ren Chao^ORCID

Funder

University of Hong Kong

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference102 articles.

1. A review on the generation, determination and mitigation of Urban Heat Island;Ahmed Memon;J. Environ. Sci. (China),2008

2. Impervious Surfaces And The Quality Of Natural And Built Environments;Barnes,2000

3. Synergies between urban heat island and heat waves in athens (Greece), during an extremely hot summer;Founda;Sci. Rep.,2012

4. Energy Savings of Heat-Island Reduction Strategies in Chicago and Houston (Including Updates for Baton Rouge;Konopacki,2002

5. Urban heat island studies based on local climate zones: a systematic overview;Jiang;Acta Geograph. Sin.,2020

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