First results of PRISMA satellite data applied to water quality monitoring in Argentina

Water has historically been considered a renewable resource, however in the last century a sustained degradation of its quality has been observed, both in continental and oceanic systems due to anthropic impact. In this context, the management of water resources by satellite technology represents a...

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Autores principales: Gauto, Víctor, Ferral, Anabella, Bonansea, Matias, Farías, Alejandro, Scavuzzo, Marcelo, Cardozo, Osvaldo, German, Alba, Giardino, Claudia
Formato: Artículo publisherVersion
Lenguaje:Inglés
Publicado: 2023
Materias:
PRISMA
Sentinel 2
hyperspectral
turbid waters
atmospheric correction
cromaticity
spectral signature
Acceso en línea:http://hdl.handle.net/20.500.12272/8253
https://doi.org/10.1109/ARGENCON55245.2022.9939810
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-8253
record_format dspace
spelling I68-R174-20.500.12272-82532023-07-11T20:10:18Z First results of PRISMA satellite data applied to water quality monitoring in Argentina Gauto, Víctor Ferral, Anabella Bonansea, Matias Farías, Alejandro Scavuzzo, Marcelo Cardozo, Osvaldo German, Alba Giardino, Claudia PRISMA Sentinel 2 hyperspectral turbid waters atmospheric correction cromaticity spectral signature Water has historically been considered a renewable resource, however in the last century a sustained degradation of its quality has been observed, both in continental and oceanic systems due to anthropic impact. In this context, the management of water resources by satellite technology represents a central point in public policies since they allow anticipating and adapting to these disturbances. In this work, Sentinel 2-MSI multispectral and PRISMA hyperspectral sensors are used to carry out an analysis of different optical water types in North-East of Argentina. Convolutional procedure was used to compare sensors responses for atmospheric corrected products and RMSE (root mean square error), BIAS and MAE (mean absolute error) metrics were used to assess their performance. Differences below 1 percent were obtained in all cases, indicating an excellent match-up between both sensors. From hyperspectral PRISMA data it was possible to detect quantitative shift towards reddish wavelengths as turbidity of Parana River increases along a transect as well as an increase of the peak value in magnitude. This work opens new opportunities to monitor water quality changes related to optical constituents with deeper details in space and time in highly urbanized and perturbed regions. Fil: Gauto, Víctor. Universidad Nacional de Córdoba. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina Fil: Ferral, Anabella: Universidad Nacional de Córdoba. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. Fil: Bonansea, Matias. Universidad Nacional de Córdoba. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina Fil: Farías, Alejandro. Universidad Tecnológica Nacional. Facultad Regional Resistencia. Grupo de Investigación Sobre Temas Ambientales y Químicos (GISTAQ); Argentina. Fil: Scavuzzo, Marcelo. Universidad Nacional de Córdoba. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. Fil: Cardozo, Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación Para el Desarrollo Territorial y del Hábitat Humano; Argentina Fil: Germán, Alba. Universidad Nacional de Córdoba. Instituto de Altos Estudios Espaciales Mario Gulich; Argentina. Fil: Giardino, Claudia. Instituto para la detección electromagnética de medio ambiente CNR-IREA; Italia Peer Reviewed 2023-07-11T20:10:17Z 2023-07-11T20:10:17Z 2022-09-09 info:eu-repo/semantics/article publisherVersion 978-1-6654-8015-4 http://hdl.handle.net/20.500.12272/8253 https://doi.org/10.1109/ARGENCON55245.2022.9939810 eng openAccess Acceso abierto pdf
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
topic PRISMA
Sentinel 2
hyperspectral
turbid waters
atmospheric correction
cromaticity
spectral signature
spellingShingle PRISMA
Sentinel 2
hyperspectral
turbid waters
atmospheric correction
cromaticity
spectral signature
Gauto, Víctor
Ferral, Anabella
Bonansea, Matias
Farías, Alejandro
Scavuzzo, Marcelo
Cardozo, Osvaldo
German, Alba
Giardino, Claudia
First results of PRISMA satellite data applied to water quality monitoring in Argentina
topic_facet PRISMA
Sentinel 2
hyperspectral
turbid waters
atmospheric correction
cromaticity
spectral signature
description Water has historically been considered a renewable resource, however in the last century a sustained degradation of its quality has been observed, both in continental and oceanic systems due to anthropic impact. In this context, the management of water resources by satellite technology represents a central point in public policies since they allow anticipating and adapting to these disturbances. In this work, Sentinel 2-MSI multispectral and PRISMA hyperspectral sensors are used to carry out an analysis of different optical water types in North-East of Argentina. Convolutional procedure was used to compare sensors responses for atmospheric corrected products and RMSE (root mean square error), BIAS and MAE (mean absolute error) metrics were used to assess their performance. Differences below 1 percent were obtained in all cases, indicating an excellent match-up between both sensors. From hyperspectral PRISMA data it was possible to detect quantitative shift towards reddish wavelengths as turbidity of Parana River increases along a transect as well as an increase of the peak value in magnitude. This work opens new opportunities to monitor water quality changes related to optical constituents with deeper details in space and time in highly urbanized and perturbed regions.
format Artículo
publisherVersion
author Gauto, Víctor
Ferral, Anabella
Bonansea, Matias
Farías, Alejandro
Scavuzzo, Marcelo
Cardozo, Osvaldo
German, Alba
Giardino, Claudia
author_facet Gauto, Víctor
Ferral, Anabella
Bonansea, Matias
Farías, Alejandro
Scavuzzo, Marcelo
Cardozo, Osvaldo
German, Alba
Giardino, Claudia
author_sort Gauto, Víctor
title First results of PRISMA satellite data applied to water quality monitoring in Argentina
title_short First results of PRISMA satellite data applied to water quality monitoring in Argentina
title_full First results of PRISMA satellite data applied to water quality monitoring in Argentina
title_fullStr First results of PRISMA satellite data applied to water quality monitoring in Argentina
title_full_unstemmed First results of PRISMA satellite data applied to water quality monitoring in Argentina
title_sort first results of prisma satellite data applied to water quality monitoring in argentina
publishDate 2023
url http://hdl.handle.net/20.500.12272/8253
https://doi.org/10.1109/ARGENCON55245.2022.9939810
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