Predicting land surface temperature and examining its relationship with air pollution and urban parameters in Bengaluru: A machine learning approach

Author:

Suthar Gourav,Kaul Nivedita,Khandelwal Sumit,Singh Saurabh

Funder

U.S. Geological Survey

Publisher

Elsevier BV

Reference49 articles.

1. Air temperature prediction using different machine learning models;Adnan;Indones. J. Electr. Eng. Comput. Sci.,2021

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3. Connections between air pollution, climate change & cardiovascular health;Alahmad;Can. J. Cardiol.,2023

4. Air pollutant correlations in China: secondary air pollutant responses to NO x and SO2 control;Chu;Environ. Sci. Technol. Lett.,2020

5. Gridded population of the world, version 4 (GPWv4): population density, revision 11;CIESIN (Center for International Earth Science Information Network) - Columbia University,2018

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