Estimation of Chlorophyll Concentration for Environment Monitoring in Scottish Marine Water

Yijun Yan, Yixin Zhang, Jinchang Ren*, Madjid Hadjal, David Mckee, Fu jen Kao, Tariq Durrani

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Marine Scotland is tasked with reporting on the environmental status of Scottish marine waters, an enormous area of water extending from the shoreline to deep oceanic waters. As one of the most important variables, chlorophyll concentration (Chl) plays an important role in the seawater quality monitoring. Currently, the Chl observation is mostly done by expensive ship-based surveys that have very limited spatio-temporal coverage. Satellite based ocean colour remote sensing has the potential to significantly enhance monitoring capabilities but this opportunity has not been widely adopted by statutory reporting bodies across Europe due to concerns over satellite data quality. To break through this bottleneck, in this paper, we explore to implement advanced machine learning techniques to automatically estimate the Chl via the historic time series of ocean colour remote sensing data during from July 2002 to September 2019.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 10th International Conference on Communications, Signal Processing, and Systems
EditorsQilian Liang, Wei Wang, Xin Liu, Zhenyu Na, Baoju Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages582-587
Number of pages6
ISBN (Print)9789811903892
DOIs
StatePublished - 2022
Event10th International Conference on Communications, Signal Processing, and Systems, CSPS 2021 - Changbaishan, China
Duration: 24 Jul 202125 Jul 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume878 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th International Conference on Communications, Signal Processing, and Systems, CSPS 2021
Country/TerritoryChina
CityChangbaishan
Period24/07/2125/07/21

Keywords

  • Chlorophyll
  • Environment monitoring
  • Multispectral remote sensing
  • Scottish marine water

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