Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina)
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 measur...
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| Format: | Article |
| Language: | English |
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Elsevier
2018-09-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982317301412 |
| _version_ | 1818298006627155968 |
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| author | Vanesa Y. Bohn Facundo Carmona Raúl Rivas Leonardo Lagomarsino Nadia Diovisalvi Horacio E. Zagarese |
| author_facet | Vanesa Y. Bohn Facundo Carmona Raúl Rivas Leonardo Lagomarsino Nadia Diovisalvi Horacio E. Zagarese |
| author_sort | Vanesa Y. Bohn |
| collection | DOAJ |
| description | 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 |
| first_indexed | 2024-12-13T04:28:28Z |
| format | Article |
| id | doaj.art-0451d9474e0a46a289988b99c378c491 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-12-13T04:28:28Z |
| publishDate | 2018-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-0451d9474e0a46a289988b99c378c4912022-12-21T23:59:38ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232018-09-01212183191Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina)Vanesa Y. Bohn0Facundo Carmona1Raúl Rivas2Leonardo Lagomarsino3Nadia Diovisalvi4Horacio E. Zagarese5Departamento de Geografía y Turismo, Universidad Nacional del Sur (UNS), 12 de octubre y San Juan (4to. Piso), (8000) Bahía Blanca, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Corresponding author.Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Universidad Nacional del Centro de la Provincia de Buenos Aires, Instituto de Hidrología de Llanuras, B7000 Tandil, ArgentinaUniversidad Nacional del Centro de la Provincia de Buenos Aires, Instituto de Hidrología de Llanuras, B7000 Tandil, Argentina; Comisión de Investigaciones Científicas de la provincia de Buenos Aires (CIC), ArgentinaInstituto de Investigaciones Biotecnológicas – Instituto Tecnológico de Chascomús (IIB-INTECH), UNSAM-CONICET, Intendente Marino Km 8.2 (7130), Chascomús, Buenos Aires, ArgentinaInstituto de Investigaciones Biotecnológicas – Instituto Tecnológico de Chascomús (IIB-INTECH), UNSAM-CONICET, Intendente Marino Km 8.2 (7130), Chascomús, Buenos Aires, ArgentinaInstituto de Investigaciones Biotecnológicas – Instituto Tecnológico de Chascomús (IIB-INTECH), UNSAM-CONICET, Intendente Marino Km 8.2 (7130), Chascomús, Buenos Aires, ArgentinaShallow 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 sensinghttp://www.sciencedirect.com/science/article/pii/S1110982317301412 |
| spellingShingle | Vanesa Y. Bohn Facundo Carmona Raúl Rivas Leonardo Lagomarsino Nadia Diovisalvi Horacio E. Zagarese Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) Egyptian Journal of Remote Sensing and Space Sciences |
| title | Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) |
| title_full | Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) |
| title_fullStr | Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) |
| title_full_unstemmed | Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) |
| title_short | Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina) |
| title_sort | development of an empirical model for chlorophyll a and secchi disk depth estimation for a pampean shallow lake argentina |
| url | http://www.sciencedirect.com/science/article/pii/S1110982317301412 |
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