Predicting air quality via multimodal AI and satellite imagery-Reference-Cited by-同舟云学术

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Predicting air quality via multimodal AI and satellite imagery

Published:2023-08 Issue: Volume:293 Page:113609
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Rowley Andrew^ORCID,Karakuş Oktay^ORCID

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference36 articles.

1. Spatial estimation of urban air pollution with the use of artificial neural network models;Alimissis;Atmos. Environ.,2018

2. Deep multi-task learning based urban air quality index modelling;Chen,2019

3. Introduction To Remote Sensing;Cracknell,2007

4. Foundations of Atmospheric Remote Sensing;Efremenko,2021

5. Air quality standards;European Environment Agency (EEA),2022

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies;Environmental Science & Technology;2024-09-03

2. Environmental Data Analysis for Air Quality Monitoring and Control;Advances in Computational Intelligence and Robotics;2024-08-30

3. Federated Learning for Privacy-Preserving Air Quality Forecasting using IoT Sensors;Engineering, Technology & Applied Science Research;2024-08-02

4. Spatio-temporal characterization of PM10 concentration across Abu Dhabi Emirate (UAE);Heliyon;2024-06

5. Two-step AI-aided Bayesian source identification of urban-scale pollution;Atmospheric Environment;2024-04

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