Modeling the spatio-temporal dissolved organic carbon concentration in Barra Bonita reservoir using OLI/Landsat-8 images

  • Enner Alcântara
  • Nariane Bernardo
  • Thanan Rodrigues
  • Fernanda Watanabe
Short Communication


Through exchange of heat between the water and the atmosphere inland waters affect climate at the regional scale and play an important role in the global carbon cycle. Therefore, there is a need to develop methods and models for mapping inland water carbon content to understand the role of lakes in the global carbon cycle. The colored dissolved organic matter (CDOM) has a strong correlation with dissolved organic carbon (DOC) and can be studied using remote sensed images. In this work, we developed an empirical model to estimate the DOC concentration by using the absorption coefficient of CDOM (a CDOM). The a CDOM was estimated through band ratio index and validated with in situ data. The empirically adjusted model to estimate the DOC was applied to a series of OLI/Landsat-8 images. The results showed a good relationship between the a CDOM at 412 nm (a CDOM412) and the ratio between OLI band 1 and OLI band 3, but the validation results showed a normalized root mean square error (NRMSE) of about 37.89%. The a CDOM412 obtained in laboratory was used to establish a relationship between a CDOM412 and DOC. The DOC spatial distribution was then obtained and the concentration varied from 22 to 52 mg.l−1 during the year of 2014.


Carbon content Inland water Bio-optical model And cascading reservoirs 



The authors thank to São Paulo Research Foundation-FAPESP (Projects numbers: 2012/19821-1 and 2015/21586-9) and National Counsel of Technological and Scientific Development - CNPq (Projects numbers: 400881/2013-6 and 472131/2012-5) for financial support.


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Enner Alcântara
    • 1
  • Nariane Bernardo
    • 2
  • Thanan Rodrigues
    • 2
  • Fernanda Watanabe
    • 2
  1. 1.Department of Environmental EngineeringSão Paulo State UniversitySão José dos CamposBrazil
  2. 2.Department of CartographySão Paulo State UniversityPresidente PrudenteBrazil

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