Spatiotemporal estimation of PM2.5 using attention-based deep neural network

Satellite-Based PM2.5 Estimation and Mapping | Views:1283Downloads:3189CSCD:1

Export
Share
Collection
Album

Spatiotemporal estimation of PM_2.5 using attention-based deep neural network
- role：First author第一作者
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Email：bj_chen@zju.edu.cn
- Introduction：陈镔捷，研究方向为环境与资源遥感。E-mail：bj_chen@zju.edu.cn
CHEN Binjie
1 * ,
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
YE Yang
1 * ,
- Affiliation：
  College of Environment, Zhejiang University of Technology, Hangzhou 310014, China
LIN Yi
2 * ,
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
YOU Shixue
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
  Zhejiang Ecological Civilization Academy, Anji 313300, China
  Center for Intelligent Ecology and Sustainability, Zhejiang University, Hangzhou 310058, China
- Email：jsong_deng@zju.edu.cn
- Introduction：邓劲松，研究方向为环境与资源遥感。E-mail：jsong_deng@zju.edu.cn
DENG Jinsong
134 * ,
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
  Center for Intelligent Ecology and Sustainability, Zhejiang University, Hangzhou 310058, China
YANG Wu
14 * ,
- Affiliation：
  College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
WANG Ke
1 *
Vol. 26, Issue 5, Pages: 1027-1038(2022)
DOI：10.11834/jrs.20221362
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 36 ) Tabs( 0 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Monitoring and analysis of typical coastal ecological risk sources based on multi-source remote sensing： A case study of the southern coast of Yantai city

A fine-grained obect detection method for remote sensing images based on dual classification head

Self-supervised remote sensing image denoising algorithm based on feature enhancement and contrastive learning

Robust matching of optical and SAR images based on deep feature reconstruction enhancement

Improved HybridSN Network for multispectral-ppolarimetric SAR image classification with multi-scale feature

Related Author

Yang Ye 浙江大学环境与资源学院

Yi Lin 浙江工业大学环境学院

Shixue You 浙江大学环境与资源学院

Jinsong Deng 浙江大学环境与资源学院;浙江生态文明研究院;浙江大学智慧生态与绿色发展研发中心

Wu Yang 浙江大学环境与资源学院;浙江大学智慧生态与绿色发展研发中心

Ke Wang 浙江大学环境与资源学院

MA Xiaoshuang 安徽大学资源与环境工程学院;安徽大学信息材料与智能感知安徽省实验室;安徽大学湿地生态保护与修复安徽省重点实验室

HU Zhongwen 深圳大学自然资源部大湾区地理环境监测重点实验室

Related Institution

Zhejiang Ecological Civilization Academy

School of Resources and Environmental Engineering, Anhui University

Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University

Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University

Key Laboratory for Geo-Environmental Monitoring of Great Bay Are, Shenzhen University