A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow-Reference-Cited by-同舟云学术

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A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow

Published:2024-12 Issue: Volume:338 Page:120798
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Jain Vaishali,Mukherjee Avideep^ORCID,Banerjee Soumya,Madhwal Sandeep,Bergin Michael H.,Bhave Prakash,Carlson David^ORCID,Jiang Ziyang^ORCID,Zheng Tongshu^ORCID,Rai Piyush,Tripathi Sachchida Nand

Funder

Children's Investment Fund Foundation

Duke University

Publisher

Elsevier BV

Reference59 articles.

1. High-resolution air pollution mapping with google street view cars: exploiting big data;Apte;Environ. Sci. Technol.,2017

2. The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017;Balakrishnan;Lancet Planet. Health,2019

3. Incorporating low-cost sensor measurements into high-resolution PM2.5 modeling at a large spatial scale;Bi;Environ. Sci. Technol.,2020

4. Model 8143 Operation and Maintenance Manual,2023

5. BlueSky TM Air Quality Monitor Model 8143 Operation and Maintenance Manual,2023

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