A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo

We present a new remote sensing based method to estimate dissolved organic carbon (DOC) flux discharged from rivers into coastal waters off the Sarawak region in Borneo. This method comprises three steps. In the first step, we developed an algorithm for estimating DOC concentrations using the ratio...

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主要な著者: Hock, Sim Chun, Cherukuru, Nagur, Mujahid, Aazani, Martin, Patrick, Sanwlani, Nivedita, Warneke, Thorsten, Rixen, Tim, Notholt, Justus, Müller, Moritz
その他の著者: Asian School of the Environment
フォーマット: Journal Article
言語:English
出版事項: 2021
主題:
オンライン・アクセス:https://hdl.handle.net/10356/145960
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author Hock, Sim Chun
Cherukuru, Nagur
Mujahid, Aazani
Martin, Patrick
Sanwlani, Nivedita
Warneke, Thorsten
Rixen, Tim
Notholt, Justus
Müller, Moritz
author2 Asian School of the Environment
author_facet Asian School of the Environment
Hock, Sim Chun
Cherukuru, Nagur
Mujahid, Aazani
Martin, Patrick
Sanwlani, Nivedita
Warneke, Thorsten
Rixen, Tim
Notholt, Justus
Müller, Moritz
author_sort Hock, Sim Chun
collection NTU
description We present a new remote sensing based method to estimate dissolved organic carbon (DOC) flux discharged from rivers into coastal waters off the Sarawak region in Borneo. This method comprises three steps. In the first step, we developed an algorithm for estimating DOC concentrations using the ratio of Landsat-8 Red to Green bands B4/B3 (DOC (μM C) = 89.86 ⋅e0.27⋅(B4/B3)), which showed good correlation (R = 0.88) and low mean relative error (+5.71%) between measured and predicted DOC. In the second step, we used TRMM Multisatellite Precipitation Analysis (TMPA) precipitation data to estimate river discharge for the river basins. In the final step, DOC flux for each river catchment was then estimated by combining Landsat-8 derived DOC concentrations and TMPA derived river discharge. The analysis of remote sensing derived DOC flux (April 2013 to December 2018) shows that Sarawak coastal waters off the Rajang river basin, received the highest DOC flux (72% of total) with an average of 168 Gg C per year in our study area, has seasonal variability. The whole of Sarawak represents about 0.1% of the global annual riverine and estuarine DOC flux. The results presented in this study demonstrate the ability to estimate DOC flux using satellite remotely sensed observations.
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spelling ntu-10356/1459602023-02-28T16:40:55Z A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo Hock, Sim Chun Cherukuru, Nagur Mujahid, Aazani Martin, Patrick Sanwlani, Nivedita Warneke, Thorsten Rixen, Tim Notholt, Justus Müller, Moritz Asian School of the Environment Engineering::Environmental engineering DOC Flux Landsat-8 We present a new remote sensing based method to estimate dissolved organic carbon (DOC) flux discharged from rivers into coastal waters off the Sarawak region in Borneo. This method comprises three steps. In the first step, we developed an algorithm for estimating DOC concentrations using the ratio of Landsat-8 Red to Green bands B4/B3 (DOC (μM C) = 89.86 ⋅e0.27⋅(B4/B3)), which showed good correlation (R = 0.88) and low mean relative error (+5.71%) between measured and predicted DOC. In the second step, we used TRMM Multisatellite Precipitation Analysis (TMPA) precipitation data to estimate river discharge for the river basins. In the final step, DOC flux for each river catchment was then estimated by combining Landsat-8 derived DOC concentrations and TMPA derived river discharge. The analysis of remote sensing derived DOC flux (April 2013 to December 2018) shows that Sarawak coastal waters off the Rajang river basin, received the highest DOC flux (72% of total) with an average of 168 Gg C per year in our study area, has seasonal variability. The whole of Sarawak represents about 0.1% of the global annual riverine and estuarine DOC flux. The results presented in this study demonstrate the ability to estimate DOC flux using satellite remotely sensed observations. Published version 2021-01-18T07:24:49Z 2021-01-18T07:24:49Z 2020 Journal Article Hock, S. C., Cherukuru, N., Mujahid, A., Martin, P., Sanwlani, N., Warneke, T., . . . Müller, M. (2020). A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo. Remote Sensing, 12(20), 3380-. doi:10.3390/rs12203380 2072-4292 https://hdl.handle.net/10356/145960 10.3390/rs12203380 2-s2.0-85092898151 20 12 en Remote Sensing © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf
spellingShingle Engineering::Environmental engineering
DOC Flux
Landsat-8
Hock, Sim Chun
Cherukuru, Nagur
Mujahid, Aazani
Martin, Patrick
Sanwlani, Nivedita
Warneke, Thorsten
Rixen, Tim
Notholt, Justus
Müller, Moritz
A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title_full A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title_fullStr A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title_full_unstemmed A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title_short A new remote sensing method to estimate river to ocean DOC flux in peatland dominated Sarawak coastal regions, Borneo
title_sort new remote sensing method to estimate river to ocean doc flux in peatland dominated sarawak coastal regions borneo
topic Engineering::Environmental engineering
DOC Flux
Landsat-8
url https://hdl.handle.net/10356/145960
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