Egyptian Journal of Remote Sensing and Space Sciences (Sep 2018)

Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina)

  • Vanesa Y. Bohn,
  • Facundo Carmona,
  • Raúl Rivas,
  • Leonardo Lagomarsino,
  • Nadia Diovisalvi,
  • Horacio E. Zagarese

Journal volume & issue
Vol. 21, no. 2
pp. 183 – 191

Abstract

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Shallow Pampean lakes are located in the most productive plain of Argentina. They are highly variable in salinity, turbidity and surface area. Laguna Chascomús has been monitored as a representative example of them. We developed a linear model based on satellite images validated against field measurements (2001–2011 period). A vegetation index and Landsat Surface Reflectance (Band 4) produced the best correlations with chlorophyll-a (Chl-a) and Secchi Disk Depth (SDD), respectively. In a second instance, a retrospective analysis (1986–2013) was performed. As a result, significant positive trends were observed for SDD and Chl-a. In addition, both variables displayed trends related to rainfall and site depth. Keywords: Chlorophyll-a, Turbidity, Remote sensing