Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach

Abdul Majed Sajib; Md Galal Uddin; Catherine Jordan; Tomasz Dabrowski; Caroline Cusack; Azizur Rahman; Agnieszka I. Olbert

doi:10.13140/RG.2.2.23276.37763

Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach

Abdul Majed Sajib
, Md Galal Uddin
, Catherine Jordan
, Tomasz Dabrowski
, Caroline Cusack
, Azizur Rahman
, Agnieszka I. Olbert

Computing, Mathematics and Engineering

Research output: Other contribution to conference › Poster › peer-review

15 Downloads (Pure)

Abstract

• To identify the crucial RS bands to retrieve optically inactive
WQ indicators.
• Water quality (WQ)-monitoring program is an essential and mandatory
component to maintain WQ to achieve "good" status in all aquatic systems.
• Advanced remote sensing (RS) techniques application in WQ monitoring is
one promising option to minimize the cost and time.
• In data-driven model feature selection (FS) engineering process reduced the
redundant/irrelevant feature.

Original language	English
Number of pages	2
DOIs	https://doi.org/10.13140/RG.2.2.23276.37763
Publication status	Published - 2024
Event	MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024 - University College Cork, Cork, Ireland Duration: 20 Jun 2024 → 21 Jun 2024 Conference number: 2024 https://www.marei.ie/marei-symposium-2024/

Conference

Conference	MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024
Abbreviated title	Communicating our Research Success
Country/Territory	Ireland
City	Cork
Period	20/06/24 → 21/06/24
Other	The 2024 MaREI Symposium took place on the 20th and 21st of June in the Western Gateway Building, University College Cork, and the theme for this year's symposium is “Communicating our Research Success”. This event brought together MaREI researchers from universities across the country for an in-depth discussions on Empowering Society, Informing Policy and Supporting Industry. Over 2 days we had presentations, poster sessions, research discussions and a Focus Games Workshop with Joanne Craven from Focus Games.
Internet address	https://www.marei.ie/marei-symposium-2024/

UN SDGs

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

SDG 6 Clean Water and Sanitation
SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

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10.13140/RG.2.2.23276.37763

600574484 PosterFinal published version, 1.32 MB

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Sajib, A. M., Uddin, M. G., Jordan, C., Dabrowski, T., Cusack, C., Rahman, A., & Olbert, A. I. (2024). Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach. Poster session presented at MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024, Cork, Ireland. https://doi.org/10.13140/RG.2.2.23276.37763

@conference{0c89d239fd8e4adcb349ab7549231bd7,

title = "Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach",

abstract = "• To identify the crucial RS bands to retrieve optically inactive WQ indicators. • Water quality (WQ)-monitoring program is an essential and mandatory component to maintain WQ to achieve {"}good{"} status in all aquatic systems. • Advanced remote sensing (RS) techniques application in WQ monitoring is one promising option to minimize the cost and time. • In data-driven model feature selection (FS) engineering process reduced the redundant/irrelevant feature.",

keywords = "Feature selection, EPA, Remote sensing, Modelling, Transitional and coastal waterbodies, Irish",

author = "Sajib, \{Abdul Majed\} and Uddin, \{Md Galal\} and Catherine Jordan and Tomasz Dabrowski and Caroline Cusack and Azizur Rahman and Olbert, \{Agnieszka I.\}",

year = "2024",

doi = "10.13140/RG.2.2.23276.37763",

language = "English",

note = "MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024, Communicating our Research Success ; Conference date: 20-06-2024 Through 21-06-2024",

url = "https://www.marei.ie/marei-symposium-2024/",

}

Sajib, AM, Uddin, MG, Jordan, C, Dabrowski, T, Cusack, C, Rahman, A & Olbert, AI 2024, 'Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach', MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024, Cork, Ireland, 20/06/24 - 21/06/24. https://doi.org/10.13140/RG.2.2.23276.37763

Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach. / Sajib, Abdul Majed; Uddin, Md Galal; Jordan, Catherine et al.
2024. Poster session presented at MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024, Cork, Ireland.

Research output: Other contribution to conference › Poster › peer-review

TY - CONF

T1 - Optically inactive water quality retrieving from remote sensing imagery

T2 - MaREI (the Research Ireland Centre for Energy, Climate and Marine) Symposium 2024

AU - Sajib, Abdul Majed

AU - Uddin, Md Galal

AU - Jordan, Catherine

AU - Dabrowski, Tomasz

AU - Cusack, Caroline

AU - Rahman, Azizur

AU - Olbert, Agnieszka I.

N1 - Conference code: 2024

PY - 2024

Y1 - 2024

N2 - • To identify the crucial RS bands to retrieve optically inactive WQ indicators. • Water quality (WQ)-monitoring program is an essential and mandatory component to maintain WQ to achieve "good" status in all aquatic systems. • Advanced remote sensing (RS) techniques application in WQ monitoring is one promising option to minimize the cost and time. • In data-driven model feature selection (FS) engineering process reduced the redundant/irrelevant feature.

AB - • To identify the crucial RS bands to retrieve optically inactive WQ indicators. • Water quality (WQ)-monitoring program is an essential and mandatory component to maintain WQ to achieve "good" status in all aquatic systems. • Advanced remote sensing (RS) techniques application in WQ monitoring is one promising option to minimize the cost and time. • In data-driven model feature selection (FS) engineering process reduced the redundant/irrelevant feature.

KW - Feature selection

KW - EPA

KW - Remote sensing

KW - Modelling

KW - Transitional and coastal waterbodies

KW - Irish

U2 - 10.13140/RG.2.2.23276.37763

DO - 10.13140/RG.2.2.23276.37763

M3 - Poster

Y2 - 20 June 2024 through 21 June 2024

ER -

Optically inactive water quality retrieving from remote sensing imagery: A feature selection with equation-based modeling approach

Abstract

Conference

UN SDGs

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