A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data-Reference-Cited by-同舟云学术

A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data

Published:2024 Issue: Volume:17 Page:8271-8290
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Islam Md Didarul¹^ORCID,Di Liping¹^ORCID,Zhang Chen¹^ORCID,Yang Ruixin¹^ORCID,Qu John J.²^ORCID,Tong Daniel³^ORCID,Guo Liying¹^ORCID,Lin Li¹^ORCID,Pandey Aran⁴^ORCID

Affiliation:

1. Center for Spatial Information Science and Systems (CSISS) and the Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA

2. Global Environment and Resources Institute and the Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA

3. Center for Spatial Information Science and Systems (CSISS) and the Department of Atmospheric, Oceanic & Earth Sciences, George Mason University, Fairfax, VA, USA

4. Skyline High School, Sammamish, WA, USA

Funder

IDS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10494866.pdf?arnumber=10494866

Reference36 articles.

1. Local Climatic Zoning and Urban Heat Island in Beirut

2. Local Climate Zones for Urban Temperature Studies

3. LCZ Generator: A Web Application to Create Local Climate Zone Maps

4. A global map of local climate zones to support earth system modelling and urban-scale environmental science

5. Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities