A Spatiotemporal Interpolation Graph Convolutional Network for Estimating PM₂.₅ Concentrations Based on Urban Functional Zones-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Spatiotemporal Interpolation Graph Convolutional Network for Estimating PM₂.₅ Concentrations Based on Urban Functional Zones

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Xinya¹,Zhang Yinghua¹,Wang Yuebin¹^ORCID,Zhang Liqiang²^ORCID,Yi Zhiyu¹,Zhang Hanchao¹,Mathiopoulos P. Takis³^ORCID

Affiliation:

1. School of Land Science and Technology, China University of Geosciences, Beijing, China

2. Beijing Key Laboratory of Environmental Remote Sensing and Digital Cities, Faculty of Geographical, Beijing Normal University, Beijing, China

3. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

Funder

National Natural Science Foundation of China

Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/09998569.pdf?arnumber=9998569

Reference48 articles.

1. Multi-scale spatiotemporal graph convolution network for air quality prediction

2. Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5

3. Fine-grained prediction of PM2.5 concentration based on multisource data and deep learning

4. New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data

5. Modelling daily PM2.5 concentrations at high spatio-temporal resolution across Switzerland

Cited by 2 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. Spatial and Temporal Change Monitoring of Wetland Urban Ecology Based on a Remote Sensing Ecological Index Considering Full Elements;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network;Remote Sensing;2023-10-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3