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Spatial Algal Bloom Characterization by Landsat 8-Oli and Field Data Analysis

Water pollution is an important problem around the world as it is closely related to human and environmental health. Field campaigns are expensive, time consuming and may provide little information. Remote sensing provides synoptic spatio-temporal views and can lead to a better understanding of lake...

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Main Authors:	Alarcon, Andrea Guachalla, German, Alba, Aleksinko, Alejandro, Ferreyra, Maria Fernanda Garcia, Scavuzzo, Carlos Marcelo, Ferral, Anabella
Format:	Conference Proceeding
Language:	English
Subjects:	Artificial satellites chlorophyll-a Earth eutrophication Lakes LANDSAT8-OLI linear regression Mathematical model phytoplankton Remote sensing Reservoirs Satellites
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creator	Alarcon, Andrea Guachalla German, Alba Aleksinko, Alejandro Ferreyra, Maria Fernanda Garcia Scavuzzo, Carlos Marcelo Ferral, Anabella
description	Water pollution is an important problem around the world as it is closely related to human and environmental health. Field campaigns are expensive, time consuming and may provide little information. Remote sensing provides synoptic spatio-temporal views and can lead to a better understanding of lake ecology. In this work an extreme algal bloom event which occurred in a reservoir is characterized by LANDSAT8-OLI sensor and in situ sampling. Chlorophyll-a concentration and algae abundance data are measured on samples collected simultaneously with satellite pass and used to build semiempirical models. Two linear functions to calculate chlorophyll-a from satellite data are presented and compared. A linear model from band 2 (blue) and band 5 (NIR) presents the best performance with a determination coefficient equal to 0,89. In situ and satellite chlorophyll-a lead comparable trophic class assessment, hypertrophic. Both Models fail to predict chlorophyll-a concentration near river intrusion (North), where low values of reflectance are recorded.
doi_str_mv	10.1109/IGARSS.2018.8518844
format	conference_proceeding
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source	IEEE Xplore All Conference Series
subjects	Artificial satellites chlorophyll-a Earth eutrophication Lakes LANDSAT8-OLI linear regression Mathematical model phytoplankton Remote sensing Reservoirs Satellites
title	Spatial Algal Bloom Characterization by Landsat 8-Oli and Field Data Analysis
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