Exploring spatial machine learning techniques for improving land surface temperature prediction-Reference-Cited by-同舟云学术

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Exploring spatial machine learning techniques for improving land surface temperature prediction

Published:2024-07 Issue:3 Volume:51 Page:100242
ISSN:2307-4108
Container-title:Kuwait Journal of Science
language:en
Short-container-title:Kuwait Journal of Science

Author:

Arunab K.S.^ORCID,Mathew Aneesh

Funder

Department of Science and Technology, Ministry of Science and Technology, India

U.S. Geological Survey

Science and Engineering Research Board

Publisher

Elsevier BV

Reference33 articles.

1. How to bring UHI to the urban planning table? A data-driven modeling approach;Acosta;Sustain. Cities Soc.,2021

2. Geospatial and statistical analysis of urban heat islands and thermally vulnerable zones in Bangalore and Hyderabad cities in India;Arunab;Remote Sens. Appl.: Society and Environment,2023

3. Predicting land surface temperature using data-driven approaches for urban heat island studies: a comparative analysis of correlation with environmental parameters;Badugu;Modeling Earth Systems and Environment,2023

4. Random forests;Breiman;Mach. Learn.,2001

5. Xgboost: a scalable tree boosting system;Chen,2016

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