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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/bg-2019-324
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-2019-324
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

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A revised version of this preprint was accepted for the journal BG and is expected to appear here in due course.

Use of absorption optical indices to assess seasonal variability of dissolved organic matter in amazon floodplain lakes

Maria Paula da Silva1, Lino A. Sander de Carvalho2, Evlyn Novo1, Daniel S. F. Jorge1, and Claudio C. F. Barbosa2 Maria Paula da Silva et al.
  • 1Remote Sensing Division, National Institute for Space Research,12227-010, São José dos Campos, Brazil
  • 2Image Processing Division, National Institute for Space Research, 12227-010, São José dos Campos, Brazil

Abstract. Given the importance of DOM in the carbon cycling of aquatic ecosystems, information on its seasonal variability is crucial. This study assesses the use of available absorption optical indices based on in situ data to both characterize the seasonal variability of the DOM dynamics in a highly complex environment and their viability of being used for satellite remote sensing on large scale studies. The study area comprises four lakes located at the Mamirauá Sustainable Development Reserve (MSDR). Samples for the determination of coloured dissolved organic matter (CDOM) and remote sensing reflectance (Rrs) were acquired in situ. The Rrs was applied to simulate MSI visible bands and used in the proposed models. Differences between lakes were tested regarding CDOM indices. Significant difference in the average of aCDOM (440), aCDOM spectra and S275–295 were found between lakes located inside the flood forest and those near the river bank. The proposed model showed that aCDOM can be used as proxy of S275–295 during rising water with good validation results, demonstrating the potential of Sentinel/MSI imagery data in large scale studies on the dynamics of DOM.

Maria Paula da Silva et al.

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Maria Paula da Silva et al.

Maria Paula da Silva et al.

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Latest update: 18 Sep 2020
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Short summary
In this study, we analyze the seasonal changes in dissolved organic matter (DOM) quality in Amazon floodplain lakes, based on its optical properties. To this end, we proposed and tested remote sensing models that estimate quality indices already established in the literature. The models proposed highlight the potential for studying DOM quality on 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 dissolved organic matter (DOM) quality in...
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