Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait

Elizabeth Wing-See Wong; Joel Wong; Nivedita Sanwlani; Patrick Martin; Soo Chin Liew

Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait

Elizabeth Wing-See Wong, Joel Wong^*, Nivedita Sanwlani, Patrick Martin, Soo Chin Liew

^*Corresponding author for this work

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

Abstract

Monitoring the transport of dissolved organic carbon (DOC) from land to ocean is vital in studying the carbon cycles of terrestrial and aquatic ecosystems. It has been estimated that tropical peatlands in coastal Southeast Asia contribute about 10% of the global land-ocean DOC flux. The use of remote sensing techniques in monitoring DOC would aid in better understanding of biogeochemical processes in this region. We present a quasi-analytical algorithm (QAA) adapted to the Singapore Strait to retrieve colored dissolved organic matter (CDOM) and DOC concentration from the Ocean Land Color Instrument onboard the Sentinel 3A satellite. Our adaptation of the QAA significantly improved retrievals of the water absorption and backscattering coefficients from remote sensing reflectance. Using CDOM absorption as a proxy, the DOC concentration was estimated with a mean absolute percentage error of 5.5%.

Original language	English
Title of host publication	ACRS 2020 - 41st Asian Conference on Remote Sensing
Publisher	Asian Association on Remote Sensing
ISBN (Electronic)	9781713829089
Publication status	Published - 2020
Externally published	Yes
Event	41st Asian Conference on Remote Sensing, ACRS 2020 - Deqing City, Virtual, China Duration: Nov 9 2020 → Nov 11 2020

Publication series

Name	ACRS 2020 - 41st Asian Conference on Remote Sensing

Conference

Conference	41st Asian Conference on Remote Sensing, ACRS 2020
Country/Territory	China
City	Deqing City, Virtual
Period	11/9/20 → 11/11/20

Bibliographical note

Publisher Copyright:
© 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. All rights reserved.

ASJC Scopus Subject Areas

Computer Networks and Communications

Keywords

Quasi-analytical algorithm
Sentinel 3
Southeast Asia
Tropical peatlands
Water quality

UN SDGs

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

Cite this

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title = "Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait",

abstract = "Monitoring the transport of dissolved organic carbon (DOC) from land to ocean is vital in studying the carbon cycles of terrestrial and aquatic ecosystems. It has been estimated that tropical peatlands in coastal Southeast Asia contribute about 10% of the global land-ocean DOC flux. The use of remote sensing techniques in monitoring DOC would aid in better understanding of biogeochemical processes in this region. We present a quasi-analytical algorithm (QAA) adapted to the Singapore Strait to retrieve colored dissolved organic matter (CDOM) and DOC concentration from the Ocean Land Color Instrument onboard the Sentinel 3A satellite. Our adaptation of the QAA significantly improved retrievals of the water absorption and backscattering coefficients from remote sensing reflectance. Using CDOM absorption as a proxy, the DOC concentration was estimated with a mean absolute percentage error of 5.5%.",

keywords = "Quasi-analytical algorithm, Sentinel 3, Southeast Asia, Tropical peatlands, Water quality",

author = "{Wing-See Wong}, Elizabeth and Joel Wong and Nivedita Sanwlani and Patrick Martin and Liew, {Soo Chin}",

note = "Publisher Copyright: {\textcopyright} 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. All rights reserved.; 41st Asian Conference on Remote Sensing, ACRS 2020 ; Conference date: 09-11-2020 Through 11-11-2020",

year = "2020",

language = "English",

series = "ACRS 2020 - 41st Asian Conference on Remote Sensing",

publisher = "Asian Association on Remote Sensing",

booktitle = "ACRS 2020 - 41st Asian Conference on Remote Sensing",

}

Wing-See Wong, E, Wong, J, Sanwlani, N, Martin, P & Liew, SC 2020, Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait. in ACRS 2020 - 41st Asian Conference on Remote Sensing. ACRS 2020 - 41st Asian Conference on Remote Sensing, Asian Association on Remote Sensing, 41st Asian Conference on Remote Sensing, ACRS 2020, Deqing City, Virtual, China, 11/9/20.

Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait. / Wing-See Wong, Elizabeth; Wong, Joel; Sanwlani, Nivedita et al.
ACRS 2020 - 41st Asian Conference on Remote Sensing. Asian Association on Remote Sensing, 2020. (ACRS 2020 - 41st Asian Conference on Remote Sensing).

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

TY - GEN

T1 - Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait

AU - Wing-See Wong, Elizabeth

AU - Wong, Joel

AU - Sanwlani, Nivedita

AU - Martin, Patrick

AU - Liew, Soo Chin

PY - 2020

Y1 - 2020

N2 - Monitoring the transport of dissolved organic carbon (DOC) from land to ocean is vital in studying the carbon cycles of terrestrial and aquatic ecosystems. It has been estimated that tropical peatlands in coastal Southeast Asia contribute about 10% of the global land-ocean DOC flux. The use of remote sensing techniques in monitoring DOC would aid in better understanding of biogeochemical processes in this region. We present a quasi-analytical algorithm (QAA) adapted to the Singapore Strait to retrieve colored dissolved organic matter (CDOM) and DOC concentration from the Ocean Land Color Instrument onboard the Sentinel 3A satellite. Our adaptation of the QAA significantly improved retrievals of the water absorption and backscattering coefficients from remote sensing reflectance. Using CDOM absorption as a proxy, the DOC concentration was estimated with a mean absolute percentage error of 5.5%.

AB - Monitoring the transport of dissolved organic carbon (DOC) from land to ocean is vital in studying the carbon cycles of terrestrial and aquatic ecosystems. It has been estimated that tropical peatlands in coastal Southeast Asia contribute about 10% of the global land-ocean DOC flux. The use of remote sensing techniques in monitoring DOC would aid in better understanding of biogeochemical processes in this region. We present a quasi-analytical algorithm (QAA) adapted to the Singapore Strait to retrieve colored dissolved organic matter (CDOM) and DOC concentration from the Ocean Land Color Instrument onboard the Sentinel 3A satellite. Our adaptation of the QAA significantly improved retrievals of the water absorption and backscattering coefficients from remote sensing reflectance. Using CDOM absorption as a proxy, the DOC concentration was estimated with a mean absolute percentage error of 5.5%.

KW - Quasi-analytical algorithm

KW - Sentinel 3

KW - Southeast Asia

KW - Tropical peatlands

KW - Water quality

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M3 - Conference contribution

AN - SCOPUS:85107176637

T3 - ACRS 2020 - 41st Asian Conference on Remote Sensing

BT - ACRS 2020 - 41st Asian Conference on Remote Sensing

PB - Asian Association on Remote Sensing

T2 - 41st Asian Conference on Remote Sensing, ACRS 2020

Y2 - 9 November 2020 through 11 November 2020

ER -

Retrieval of colored dissolved organic matter and dissolved organic carbon in the singapore strait

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

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Cite this