Navegar

Colección

Datos Estadísticas

Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

The massive development of floating plants in floodplain lakes and wetlands in the upper Middle Paraná river in the La Plata basin is environmentally and socioeconomically important. Every year aquatic plant detachments drift downstream arriving in small amounts to the Río de la Plata, but huge temporary invasions have been observed every 10 or 15 years associated to massive floods. From late December 2015, heavy rains driven by a strong El Niño increased river levels, provoking a large temporary invasion of aquatic plants from January to May 2016. This event caused significant disruption of human activities via clogging of drinking water intakes in the estuary, blocking of ports and marinas and introducing dangerous animals from faraway wetlands into the city. In this study, we developed a scheme to map floating vegetation in turbid waters using high-resolution imagery, like Sentinel-2/SMI (MultiSpectral Imager), Landsat-8/OLI (Operational Land Imager), and Aqua/MODIS (MODerate resolution Imager Spectroradiometer)-250 m. A combination of the Floating Algal Index (that make use of the strong signal in the NIR part of the spectrum), plus conditions set on the RED band (to avoid misclassifying highly turbid waters) and on the CIE La*b* color space coordinates (to confirm the visually "green" pixels as floating vegetation) were used. A time-series of multisensor high resolution imagery was analyzed to study the temporal variability, covered area and distribution of the unusual floating macroalgae invasion that started in January 2016 in the Río de la Plata estuary. © 2018 by the authors.

Registro:

Documento: Artículo
Título:Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery
Autor:Dogliotti, A.I.; Gossn, J.I.; Vanhellemont, Q.; Ruddick, K.G.
Filiación:Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, C1428EGA, Argentina
Instituto de Astronomía y Física del Espacio (IAFE), CONICET-Universidad de Buenos Aires, Buenos Aires, C1428EGA, Argentina
Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment, Brussels, 1200, Belgium
Palabras clave:Aqua; Aquatic macrophytes; Floating vegetation; Landsat-8; Río de la Plata; Sentinel-2; Turbid water; Animals; Color; Floods; Potable water; Vegetation; Wetlands; Aqua; Aquatic macrophytes; LANDSAT; Sentinel-2; Turbid water; Rivers
Año:2018
Volumen:10
Número:7
DOI: http://dx.doi.org/10.3390/rs10071140
Título revista:Remote Sensing
Título revista abreviado:Remote Sens.
ISSN:20724292
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v10_n7_p_Dogliotti

Referencias:

  • Marchetti, Z.Y., Latrubesse, E.M., Pereira, M.S., Ramonell, C.G., Vegetation and its relationship with geomorphologic units in the Parana River floodplain, Argentina (2013) J. S. Am. Earth Sci, 46, pp. 122-136
  • Fusilli, L., Collins, M.O., Laneve, G., Palombo, A., Pignatti, S., Santini, F., Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series (2013) Int. J. Appl. Earth Obs. Geoinform, 20, pp. 33-41
  • Everitt, J.H., Alaniz, M.A., Davis, M.R., Using spatial information technologies to detect and map waterhyacinth and hydrilla infestations in the Lower Rio Grande (2003) J. Aquat. Plant Manag, 41, pp. 93-98
  • Cohen, A.N., Carlton, J.T., Accelerating invasion rate in a highly invaded estuary (1998) Science, 279, pp. 555-558
  • Gower, J., Hu, C., Borstad, G., King, S., Ocean color satellites show extensive lines of floating Sargassum in the Gulf of Mexico (2006) IEEE Trans. Geosci. Remote Sens, 44, pp. 3619-3625
  • Hu, C., A novel ocean color index to detect floating algae in the global oceans (2009) Remote Sens. Environ, 113, pp. 2118-2129
  • Shi, W., Wang, M., Green macroalgae blooms in the YellowSea during the spring and summer of 2008 (2009) J. Geophys. Res. Oceans, 114
  • Keesing, J.K., Liu, D., Fearns, P., Garcia, R., Inter-and intra-annual patterns of Ulva prolifera green tides in the Yellow Sea during 2007-2009, their origin and relationship to the expansion of coastal seaweed aquaculture in China (2011) Mar. Pollut. Bull, 62, pp. 1169-1182
  • Alawadi, F., Detection of Surface Algal Blooms Using the Newly Developed Algorithm Surface Algal Bloom Index (SABI) (2010) In Proceedings of the SPIE Remote Sensing of the Ocean, Sea Ice, and LargeWater Regions, 7825. , Toulouse France, 20-23 September 2010
  • Xing, Q., Hu, C., Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique (2016) Remote Sens. Environ, 178, pp. 113-126
  • Hu, L., Hu, C., He, M., Remote estimation of biomass of Ulva prolifera macroalgae in the Yellow Sea (2017) Remote Sens. Environ, 192, pp. 217-227
  • Hu, C., Feng, L., Hardy, R.F., Hochberg, E.J., Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae (2015) Remote Sens. Environ, 167, pp. 229-246
  • Liang, Q., Zhang, Y., Ma, R., Loiselle, S.A., Li, J., Hu, M., A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu (2017) Remote Sens, 9, p. 133
  • Minotti, P., Ramonell, C., Kandus, P., Regionalización del Corredor Fluvial Paraná-Paraguay (2013) Inventario de los Humedales de Argentina: Sistemas de Paisajes de Humedales del Corredor FluvialParaná-Paraguay, pp. 33-90. , 1st ed. Benzaquén, L., Blanco, D.E., Bó, R.F., Kandus, P., Lingua, G.F., Minotti, P., Quintana, R.D., Sverlij, S., Vidal, L., Eds.; Secretaría de Ambiente y Desarrollo Sustentable, Jefatura de Gabinete de Ministros de la Nación: Buenos Aires, Argentina
  • La Plata Basin Case Study, , unesdoc.unesco.org/images/0015/001512/151252e.pdf, Final Report. UNESCO (accessed on 27 April 2018)
  • Robertson, A.W., Mechoso, C.R., Interannual and decadal cycles in river flows of southeastern South America (1998) J. Clim, 11, pp. 2570-2581
  • (1997) Análisis del Régimen Hidrológico de Los Ríos Paraná y Uruguay. Informe LHA-01-216-02, , https://www.ina.gov.ar/legacy/pdf/LH-Info_FRE_LHA-01-216-02_FrePlata-ParanaUruguay_Jun_2002.pdf, INA, (accessed on 27 April 2018)
  • Neiff, J.J., Malvárez, I., Grandes Humedales Fluviales (2004) Bases Ecológicas Para la Clasificación e Inventario de Humedales en Argentina, pp. 77-93. , 1st ed. Malvárez, I., Bó, R.F., Eds.; FCEN; Universidad de Buenos Aires; RAMSAR; USFWS; USDS: Buenos Aires, Argentina
  • Bó, R.F., Situación Ambiental en la Ecorregión Delta e Islas del Paraná (2016) Situación Ambiental en la Argentina 2005;1st ed, pp. 131-143. , Brown:A., Martínez Ortiz, U., Acerbi, M., Corcuera, J., Eds.; Fundación Vida Silvestre Argentina: Buenos Aires, Argentina
  • Neiff, J.J., Iriondo, M., Carignan, R., (1994) Large Tropical South American Wetlands: A Review, p. 15. , UNESCO Ecotones Workshop: Seattle, DC, USA
  • Vanhellemont, Q., Ruddick, K., Turbid wakes associated with offshore wind turbines observed with Landsat (2014) 8 Remote Sens. Environ, 145, pp. 105-115
  • Vanhellemont, Q., Ruddick, K., Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8 (2015) Remote Sens. Environ, 161, pp. 89-106
  • Dogliotti, A.I., Ruddick, K.G., Nechad, B., Doxaran, D., Knaeps, E., A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters (2015) Remote Sens. Environ, 156, pp. 157-168
  • Knaeps, E., Ruddick, K.G., Doxaran, D., Dogliotti, A.I., Nechad, B., Raymaekers, D., Sterckx, S., A SWIR based algorithm to retrieve Total Suspended Matter in extremely turbid waters (2015) Remote Sens. Environ, 168, pp. 66-79
  • Kou, L., Labrie, D., Chylek, P., Refractive indices of water and ice in the 0.65-2.5 μm spectral range (1993) Appl. Opt, 32, pp. 3531-3540
  • Hu, C., Lee, Z., Ma, R., Yu, K., Li, D., Shang, S., Moderate resolution imaging spectroradiometer (MODIS) observations of cyanobacteria blooms in Taihu Lake, China (2010) J. Geophys. Res. Oceans, 115
  • (2016) Colorimetry-Part 5: CIE 1976 L*u*v* Colour Space and u', v' Uniform Chromaticity Scale Diagram, , 1st ed. International Standard ISO/CIE: Geneva, Switzerland
  • Dogliotti, A.I., Gossn, J.I., Vanhellemont, Q., Ruddick, K., Large Invasion of Floating Aquatic Plants in the Río de la Plata Estuary! In Proceedings of the Ocean Optics XXIII Conference, , http://www.iafe.uba.ar/wordpress/filesMarine/Conferences/2016_Dogliotti_etal_OO.pdf, Victoria, BC, Canada, 23-28 October 2016;, (accessed on 6 July 2018)
  • Cui, T., Zhang, J., Sun, L., Jia, Y., Zhao, W., Wang, Z., Meng, J., Satellitemonitoring of massive green macroalgae bloom (GMB): Imagingability comparison of multi-source data and drifting velocityestimation (2012) Int. J. Remote Sens, 33, pp. 5513-5527
  • Xu, Q., Zhang, H., Cheng, Y., Multi-sensor monitoring of Ulva prolifera blooms in the YellowSea using different methods (2016) Front. Earth Sci, 10, pp. 378-388
  • Dogliotti, A.I., Ruddick, K., Guerrero, R., Seasonal and inter-annual turbidity variability in the Río de la Plata from 15 years of MODIS: El Niño dilution effect (2016) Estuar. Coast. Shelf Sci, 182, pp. 27-39
  • Oyama, Y., Matsushita, B., Fukushima, T., Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM+ shortwave infrared bands (2015) Remote Sens. Environ, 157, pp. 35-47
  • Qi, L., Hu, C., Duan, H., Cannizzaro, J., Ma, R., A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations (2014) Remote Sens. Environ, 154, pp. 298-317

Citas:

---------- APA ----------
Dogliotti, A.I., Gossn, J.I., Vanhellemont, Q. & Ruddick, K.G. (2018) . Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery. Remote Sensing, 10(7).
http://dx.doi.org/10.3390/rs10071140
---------- CHICAGO ----------
Dogliotti, A.I., Gossn, J.I., Vanhellemont, Q., Ruddick, K.G. "Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery" . Remote Sensing 10, no. 7 (2018).
http://dx.doi.org/10.3390/rs10071140
---------- MLA ----------
Dogliotti, A.I., Gossn, J.I., Vanhellemont, Q., Ruddick, K.G. "Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery" . Remote Sensing, vol. 10, no. 7, 2018.
http://dx.doi.org/10.3390/rs10071140
---------- VANCOUVER ----------
Dogliotti, A.I., Gossn, J.I., Vanhellemont, Q., Ruddick, K.G. Detecting and quantifying a massive invasion of floating aquatic plants in the Río de la Plata turbid waters using high spatial resolution ocean color imagery. Remote Sens. 2018;10(7).
http://dx.doi.org/10.3390/rs10071140