ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT

F. L. Lobo; G. Nagel; D. A. Maciel; A. Ferral; A. German; L. S. Carvalho; V. Martins; C. C.F. Barbosa; E. M. Novo; M. Fernandez; V. Fernandez; J. S. Yunes; G. L. Collares; S. Greb; G. Beltramone; L. Piedra-Castro; W. Pereira Filho; E. Montoya; M. Scavuzzo; M. S. Sanchez; M. Shimoni

doi:10.1109/IGARSS47720.2021.9554973

ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT

F. L. Lobo
, G. Nagel
, D. A. Maciel
, A. Ferral
, A. German
, L. S. Carvalho
, V. Martins
, C. C.F. Barbosa
, E. M. Novo
, M. Fernandez
, V. Fernandez
, J. S. Yunes
, G. L. Collares
, S. Greb
, G. Beltramone
, L. Piedra-Castro
, W. Pereira Filho
, E. Montoya
, M. Scavuzzo
, M. S. Sanchez

M. Shimoni

Federal University of Pelotas
National Institute for Space Research
CONICET (Concejo Nacional de Investigaciones Cientificas y Tecnicas)
Federal University of Rio de Janeiro (UFRJ)
Michigan State University
Dirección Nacional de Medio Ambiente
Universidad de la República
Federal University of Rio Grande
University of Wisconsin-Madison
Universidad Nacional
Federal University of Santa Maria
Universidad Nacional Autónoma de México
Universidad de Antioquia

Publikation: Unpublished contribution to conference › Papier › Begutachtung

4 Zitate (Scopus)

Abstract

As part of a collaborative effort among researchers of several institutions and organizations, this project takes advantage of the Google Earth Engine (GEE) cloud computing environment to map algae bloom over the main water bodies and reservoirs of Latin America using Sentinel-2 imagery (2015 to present). The methodology based on the Normalized Difference Chlorophyll Index (NDCI) for chlorophyll-a and Trophic State Index (TSI) detection provided promising results. NDCI responds well to high levels of chlorophyll-a and, therefore, can be used as an indicator for algae blooms. The image processing as well as the display of maps and charts are being implemented into a GEE App to be freely available for general public use.

Originalsprache	Englisch
Seiten	72-75
Seitenumfang	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554973
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgien Dauer: 12 Juli 2021 → 16 Juli 2021

Konferenz

Konferenz	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Land/Gebiet	Belgien
Ort	Brussels
Zeitraum	12/07/21 → 16/07/21

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10.1109/IGARSS47720.2021.9554973

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Lobo, F. L., Nagel, G., Maciel, D. A., Ferral, A., German, A., Carvalho, L. S., Martins, V., Barbosa, C. C. F., Novo, E. M., Fernandez, M., Fernandez, V., Yunes, J. S., Collares, G. L., Greb, S., Beltramone, G., Piedra-Castro, L., Pereira Filho, W., Montoya, E., Scavuzzo, M., ... Shimoni, M. (2021). ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT. 72-75. Beitrag in 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien. https://doi.org/10.1109/IGARSS47720.2021.9554973

@conference{00999f1b40f64fbd887ef55813f16b62,

title = "ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT",

abstract = "As part of a collaborative effort among researchers of several institutions and organizations, this project takes advantage of the Google Earth Engine (GEE) cloud computing environment to map algae bloom over the main water bodies and reservoirs of Latin America using Sentinel-2 imagery (2015 to present). The methodology based on the Normalized Difference Chlorophyll Index (NDCI) for chlorophyll-a and Trophic State Index (TSI) detection provided promising results. NDCI responds well to high levels of chlorophyll-a and, therefore, can be used as an indicator for algae blooms. The image processing as well as the display of maps and charts are being implemented into a GEE App to be freely available for general public use.",

keywords = "Google Engine App, NDCI, Sentinel-2",

author = "Lobo, \{F. L.\} and G. Nagel and Maciel, \{D. A.\} and A. Ferral and A. German and Carvalho, \{L. S.\} and V. Martins and Barbosa, \{C. C.F.\} and Novo, \{E. M.\} and M. Fernandez and V. Fernandez and Yunes, \{J. S.\} and Collares, \{G. L.\} and S. Greb and G. Beltramone and L. Piedra-Castro and \{Pereira Filho\}, W. and E. Montoya and M. Scavuzzo and Sanchez, \{M. S.\} and M. Shimoni",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554973",

language = "English",

pages = "72--75",

}

Lobo, FL, Nagel, G, Maciel, DA, Ferral, A, German, A, Carvalho, LS, Martins, V, Barbosa, CCF, Novo, EM, Fernandez, M, Fernandez, V, Yunes, JS, Collares, GL, Greb, S, Beltramone, G, Piedra-Castro, L, Pereira Filho, W, Montoya, E, Scavuzzo, M, Sanchez, MS & Shimoni, M 2021, 'ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT', Beitrag in 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien, 12/07/21 - 16/07/21 S. 72-75. https://doi.org/10.1109/IGARSS47720.2021.9554973

TY - CONF

T1 - ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

AU - Lobo, F. L.

AU - Nagel, G.

AU - Maciel, D. A.

AU - Ferral, A.

AU - German, A.

AU - Carvalho, L. S.

AU - Martins, V.

AU - Barbosa, C. C.F.

AU - Novo, E. M.

AU - Fernandez, M.

AU - Fernandez, V.

AU - Yunes, J. S.

AU - Collares, G. L.

AU - Greb, S.

AU - Beltramone, G.

AU - Piedra-Castro, L.

AU - Pereira Filho, W.

AU - Montoya, E.

AU - Scavuzzo, M.

AU - Sanchez, M. S.

AU - Shimoni, M.

PY - 2021

Y1 - 2021

N2 - As part of a collaborative effort among researchers of several institutions and organizations, this project takes advantage of the Google Earth Engine (GEE) cloud computing environment to map algae bloom over the main water bodies and reservoirs of Latin America using Sentinel-2 imagery (2015 to present). The methodology based on the Normalized Difference Chlorophyll Index (NDCI) for chlorophyll-a and Trophic State Index (TSI) detection provided promising results. NDCI responds well to high levels of chlorophyll-a and, therefore, can be used as an indicator for algae blooms. The image processing as well as the display of maps and charts are being implemented into a GEE App to be freely available for general public use.

AB - As part of a collaborative effort among researchers of several institutions and organizations, this project takes advantage of the Google Earth Engine (GEE) cloud computing environment to map algae bloom over the main water bodies and reservoirs of Latin America using Sentinel-2 imagery (2015 to present). The methodology based on the Normalized Difference Chlorophyll Index (NDCI) for chlorophyll-a and Trophic State Index (TSI) detection provided promising results. NDCI responds well to high levels of chlorophyll-a and, therefore, can be used as an indicator for algae blooms. The image processing as well as the display of maps and charts are being implemented into a GEE App to be freely available for general public use.

KW - Google Engine App

KW - NDCI

KW - Sentinel-2

UR - https://www.scopus.com/pages/publications/85129805313

U2 - 10.1109/IGARSS47720.2021.9554973

DO - 10.1109/IGARSS47720.2021.9554973

M3 - Paper

AN - SCOPUS:85129805313

SP - 72

EP - 75

Y2 - 12 July 2021 through 16 July 2021

ER -

ALERT SYSTEM FOR ALGAE BLOOM DETECTION IN INLAND WATERS OF LATIN AMERICA: AN ONGOING PROJECT

Abstract

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