Articles | Volume 17, issue 21
https://doi.org/10.5194/bg-17-5355-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-5355-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2020
Research article |
| 09 Nov 2020
| 09 Nov 2020
Use of optical absorption indices to assess seasonal variability of dissolved organic matter in Amazon floodplain lakes
Maria Paula da Silva
CORRESPONDING AUTHOR
Remote Sensing Division, National Institute for Space Research –
INPE, 12227-010 São José dos Campos, Brazil
now at: Department of Analytical Chemistry, BioGeoOmics research group, Helmholtz Centre for Environmental Research – UFZ, 04318 Leipzig, Germany
Lino A. Sander de Carvalho
Image Processing Division, National Institute for Space Research –
INPE, 12227-010 São José dos Campos, Brazil
now at: Department of Meteorology, Geoscience institute, Federal
University of Rio de Janeiro, 21941-916 Rio de Janeiro, Brazil
Evlyn Novo
Remote Sensing Division, National Institute for Space Research –
INPE, 12227-010 São José dos Campos, Brazil
Daniel S. F. Jorge
Remote Sensing Division, National Institute for Space Research –
INPE, 12227-010 São José dos Campos, Brazil
now at: Laboratoire d'Océanologie et de Géosciences – LOG,
Université du Littoral-Côte-d'Opale, CNRS, Université de Lille,
62930 Wimereux, France
Claudio C. F. Barbosa
Image Processing Division, National Institute for Space Research –
INPE, 12227-010 São José dos Campos, Brazil
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Cited
14 citations as recorded by crossref.
- Hybrid Semi-Analytical Algorithm for Estimating Chlorophyll-A Concentration in Lower Amazon Floodplain Waters R. Flores Júnior et al. 10.3389/frsen.2022.834576
- Photochemical Implications of Changes in the Spectral Properties of Chromophoric Dissolved Organic Matter: A Model Assessment for Surface Waters N. Altare & D. Vione 10.3390/molecules28062664
- Inundation, Hydrodynamics and Vegetation Influence Carbon Dioxide Concentrations in Amazon Floodplain Lakes J. Amaral et al. 10.1007/s10021-021-00692-y
- Organic Molecular Signatures of the Congo River and Comparison to the Amazon M. Kurek et al. 10.1029/2022GB007301
- GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality M. Lehmann et al. 10.1038/s41597-023-01973-y
- Distinguishing between Sources of Natural Dissolved Organic Matter (DOM) Based on Its Characteristics R. Vogt et al. 10.3390/w15163006
- Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data A. Dehkordi et al. 10.1109/JSTARS.2024.3364020
- Spatiotemporal Dynamics of Suspended Sediments in the Negro River, Amazon Basin, from In Situ and Sentinel-2 Remote Sensing Data R. Marinho et al. 10.3390/ijgi10020086
- Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images R. Paulino et al. 10.3390/rs14081829
- Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods D. Maciel et al. 10.1016/j.isprsjprs.2021.10.009
- Estimating the Colored Dissolved Organic Matter in the Negro River, Amazon Basin, with In Situ Remote Sensing Data R. Marinho et al. 10.3390/rs16040613
- Variations of Colored Dissolved Organic Matter in the Mandovi Estuary, Goa, During Spring Inter-Monsoon: A Comparison With COVID-19 Outbreak Imposed Lockdown Period A. Dias et al. 10.3389/fmars.2021.638583
- Linking Biogeochemical and Hydrodynamic Processes to Model Methane Fluxes in Shallow, Tropical Floodplain Lakes M. Guo et al. 10.1029/2022MS003385
- Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
12 citations as recorded by crossref.
- Hybrid Semi-Analytical Algorithm for Estimating Chlorophyll-A Concentration in Lower Amazon Floodplain Waters R. Flores Júnior et al. 10.3389/frsen.2022.834576
- Photochemical Implications of Changes in the Spectral Properties of Chromophoric Dissolved Organic Matter: A Model Assessment for Surface Waters N. Altare & D. Vione 10.3390/molecules28062664
- Inundation, Hydrodynamics and Vegetation Influence Carbon Dioxide Concentrations in Amazon Floodplain Lakes J. Amaral et al. 10.1007/s10021-021-00692-y
- Organic Molecular Signatures of the Congo River and Comparison to the Amazon M. Kurek et al. 10.1029/2022GB007301
- GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality M. Lehmann et al. 10.1038/s41597-023-01973-y
- Distinguishing between Sources of Natural Dissolved Organic Matter (DOM) Based on Its Characteristics R. Vogt et al. 10.3390/w15163006
- Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data A. Dehkordi et al. 10.1109/JSTARS.2024.3364020
- Spatiotemporal Dynamics of Suspended Sediments in the Negro River, Amazon Basin, from In Situ and Sentinel-2 Remote Sensing Data R. Marinho et al. 10.3390/ijgi10020086
- Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images R. Paulino et al. 10.3390/rs14081829
- Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods D. Maciel et al. 10.1016/j.isprsjprs.2021.10.009
- Estimating the Colored Dissolved Organic Matter in the Negro River, Amazon Basin, with In Situ Remote Sensing Data R. Marinho et al. 10.3390/rs16040613
- Variations of Colored Dissolved Organic Matter in the Mandovi Estuary, Goa, During Spring Inter-Monsoon: A Comparison With COVID-19 Outbreak Imposed Lockdown Period A. Dias et al. 10.3389/fmars.2021.638583
2 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
In this study, we analyze the seasonal changes in the dissolved organic matter (DOM) quality (based on its optical properties) in four Amazon floodplain lakes. DOM plays a fundamental role in surface water chemistry, controlling metal bioavailability and mobility, and nutrient cycling. The model proposed in our paper highlights the potential to study DOM quality at a wider spatial scale, which may help to better understand the persistence and fate of DOM in the ecosystem.
In this study, we analyze the seasonal changes in the dissolved organic matter (DOM) quality...
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