Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion

Jun Liu; Chenyu Zhang; Hao Dong; De Yu Kong; Dawei Xu; Yanping Hu

doi:10.1145/3631726.3631770

Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion

Jun Liu
, Chenyu Zhang^*
, Hao Dong
, De Yu Kong
, Dawei Xu
, Yanping Hu

^*Corresponding author for this work

School of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Enteromorpha prolifera (EP) blooms pose a threat to marine ecology. Remote sensing and buoy observation techniques are common monitoring methods, but they both have limitations. In this work, an EP monitoring system integrating air-ground-sea multidimensional information is introduced to obtain high spatial and temporal resolution and multidimensional ocean information. The drift trajectory of EP is corrected using time-series remote sensing and measurement data; and the EP growth status (EPGS) is categorized based on the features collected from drifting buoy swarms and remote sensing data. The analysis results show that the system can classify EPGS into growth period, outbreak period, and extinction period, and realize the correction and display of EP trajectories.

Original language	English
Title of host publication	WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400716744
DOIs	https://doi.org/10.1145/3631726.3631770
State	Published - 24 Nov 2023
Event	17th ACM International Conference on Underwater Networks and Systems, WUWNet 2023 - Shenzhen, China Duration: 23 Nov 2023 → 26 Nov 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	17th ACM International Conference on Underwater Networks and Systems, WUWNet 2023
Country/Territory	China
City	Shenzhen
Period	23/11/23 → 26/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Enteromorpha Prolifera
Environment monitoring
Multi-source integration
Remote sensing monitoring

Access to Document

10.1145/3631726.3631770

Cite this

Liu, J., Zhang, C., Dong, H., Kong, D. Y., Xu, D., & Hu, Y. (2023). Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion. In WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems Article 40 (ACM International Conference Proceeding Series). Association for Computing Machinery . https://doi.org/10.1145/3631726.3631770

@inproceedings{74f72c13507d4cc69fd3eef215e42a80,

title = "Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion",

abstract = "Enteromorpha prolifera (EP) blooms pose a threat to marine ecology. Remote sensing and buoy observation techniques are common monitoring methods, but they both have limitations. In this work, an EP monitoring system integrating air-ground-sea multidimensional information is introduced to obtain high spatial and temporal resolution and multidimensional ocean information. The drift trajectory of EP is corrected using time-series remote sensing and measurement data; and the EP growth status (EPGS) is categorized based on the features collected from drifting buoy swarms and remote sensing data. The analysis results show that the system can classify EPGS into growth period, outbreak period, and extinction period, and realize the correction and display of EP trajectories.",

keywords = "Enteromorpha Prolifera, Environment monitoring, Multi-source integration, Remote sensing monitoring",

author = "Jun Liu and Chenyu Zhang and Hao Dong and Kong, \{De Yu\} and Dawei Xu and Yanping Hu",

note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 17th ACM International Conference on Underwater Networks and Systems, WUWNet 2023 ; Conference date: 23-11-2023 Through 26-11-2023",

year = "2023",

month = nov,

day = "24",

doi = "10.1145/3631726.3631770",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery ",

booktitle = "WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems",

address = "美国",

}

Liu, J, Zhang, C, Dong, H, Kong, DY, Xu, D & Hu, Y 2023, Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion. in WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems., 40, ACM International Conference Proceeding Series, Association for Computing Machinery , 17th ACM International Conference on Underwater Networks and Systems, WUWNet 2023, Shenzhen, China, 23/11/23. https://doi.org/10.1145/3631726.3631770

Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion. / Liu, Jun; Zhang, Chenyu; Dong, Hao et al.
WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems. Association for Computing Machinery , 2023. 40 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion

AU - Liu, Jun

AU - Zhang, Chenyu

AU - Dong, Hao

AU - Kong, De Yu

AU - Xu, Dawei

AU - Hu, Yanping

PY - 2023/11/24

Y1 - 2023/11/24

N2 - Enteromorpha prolifera (EP) blooms pose a threat to marine ecology. Remote sensing and buoy observation techniques are common monitoring methods, but they both have limitations. In this work, an EP monitoring system integrating air-ground-sea multidimensional information is introduced to obtain high spatial and temporal resolution and multidimensional ocean information. The drift trajectory of EP is corrected using time-series remote sensing and measurement data; and the EP growth status (EPGS) is categorized based on the features collected from drifting buoy swarms and remote sensing data. The analysis results show that the system can classify EPGS into growth period, outbreak period, and extinction period, and realize the correction and display of EP trajectories.

AB - Enteromorpha prolifera (EP) blooms pose a threat to marine ecology. Remote sensing and buoy observation techniques are common monitoring methods, but they both have limitations. In this work, an EP monitoring system integrating air-ground-sea multidimensional information is introduced to obtain high spatial and temporal resolution and multidimensional ocean information. The drift trajectory of EP is corrected using time-series remote sensing and measurement data; and the EP growth status (EPGS) is categorized based on the features collected from drifting buoy swarms and remote sensing data. The analysis results show that the system can classify EPGS into growth period, outbreak period, and extinction period, and realize the correction and display of EP trajectories.

KW - Enteromorpha Prolifera

KW - Environment monitoring

KW - Multi-source integration

KW - Remote sensing monitoring

UR - https://www.scopus.com/pages/publications/85197268779

U2 - 10.1145/3631726.3631770

DO - 10.1145/3631726.3631770

M3 - 会议稿件

AN - SCOPUS:85197268779

T3 - ACM International Conference Proceeding Series

BT - WUWNet 2023 - 17th ACM International Conference on Underwater Networks and Systems

PB - Association for Computing Machinery

T2 - 17th ACM International Conference on Underwater Networks and Systems, WUWNet 2023

Y2 - 23 November 2023 through 26 November 2023

ER -

Enteromorpha Prolifera Monitoring System Based on Air-Ground-Sea Multi-Source Information Fusion

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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