Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP)

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https://digital.cic.gba.gob.ar/handle/11746/412

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Examinando Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP) por Autor "Lasta, Carlos Ángel"

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  • Comunicacion
    Acceso Abierto
    Extensión del límite austral de distribución de tres especies de peces óseos tropicales en la costa de la Provincia de Buenos Aires, Argentina
    (Pontificia Universidad Católica de Valparaíso, 2012) Milessi, Andres Conrado; Colonello, Jorge H.; Cortés, Federico; Lasta, Carlos Ángel; Waessle, Juan A.; Allega, Lucrecia
    Se presentan tres nuevos registros de especies de peces óseos cuya distribución corresponde a aguas tropicales, capturados por buques pesqueros en la costa de la Provincia de Buenos Aires, Argentina (CPBA, 36º-38ºS). Los ejemplares corresponden a las especies: Rachycentrum canadum, Elops saurus y Caulolatilus chrysops. Estos registros amplían significativamente el límite austral de su distribución. La presencia ocasional de estas especies está asociada al transporte de agua subtropical cálida proveniente de la plataforma continental brasilera. Esta hipótesis es probada mediante el análisis de imágenes satelitales de temperatura superficial del mar.
  • Documento de conferencia
    Acceso Abierto
    First optical observations in the turbidity maximum zone in the Río de la Plata estuary: a challenge for atmospheric correction algorithms
    (2014) Dogliotti, Ana Inés; Camiolo, Martina; Simionato, Claudia; Jaureguizar, Andrés Javier; Guerrero, Raúl Alberto; Lasta, Carlos Ángel
    The Río de la Plata (RdP) estuary, located at 35°S on the southwestern Atlantic Ocean, is a shallow and large-scale plain, which drains the second largest basin in South America. The RdP river carries high amounts of nutrients, suspended particulate and dissolved organic matter to the adjacent shelf waters and is considered among the most turbid estuaries in the world. A turbidity maximum and a sharp surface front defining its seaward edge is a distinctive feature of this estuary. Such high sediment loads represent a challenge to atmospheric correction algorithms which usually rely on the assumption of zero waterleaving reflectance in the near infrared (NIR) or short wave infrared (SWIR) parts of the spectrum. Uncertainties of the primary remote sensing products have never been quantified in RdP before due to lack of in situ measurements. In February and April 2013 two field campaigns were performed in the turbidity maximum zone where water reflectance was measured and surface water samples were collected for turbidity and total suspended particle concentration determinations. A match-up analysis was performed to evaluate the performance of five atmospheric correction algorithms on MODIS-Aqua data that use the NIR and/or SWIR bands to estimate the aerosols optical properties in a pixel-by-pixel basis and from clear water pixels and then applied to the whole image. Satellite retrievals of remote sensing reflectance at the visible bands of Aqua sensor generally showed quite large uncertainties and constant underestimation (largest at the blue bands), whereas the uncertainties in the NIR bands were the lowest.