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An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data

Crossref DOI link: https://doi.org/10.1007/s44212-022-00002-4

Published Online: 2022-09-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lyu, Fangzheng https://orcid.org/0000-0001-5180-0380
Wang, Shaohua

Han, Su Yeon

Catlett, Charlie

Wang, Shaowen https://orcid.org/0000-0001-5848-590X
Funding

Funding for this research was provided by:

Directorate for Geosciences (1833225)
License Information

Text and Data Mining valid from 2022-09-09

Version of Record valid from 2022-09-09
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Article History

Received: 24 April 2022

Revised: 1 May 2022

Accepted: 22 June 2022

First Online: 9 September 2022

Declarations

:

: Prof. Shaowen Wang is an EBM of Urban Informatics. He was not involved in the peer-review or handling of the manuscript. The authors have no other competing interests to disclose.

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