From November 8th to 11th, the 17th International Congress of the Brazilian Geophysical Society took place online. At this event, student Wilson Galvão presented the work entitled “Seismic investigation of the mouth of Babitonga Bay, SC, and its adjacent Internal Platform.”

ABSTRACT: This study presents a model for the geological evolution of the mouth of Babitonga Bay (the northern coast of Santa Catarina) based on investigation of Holocene and Upper Pleistocene sedimentary deposits in the bay mouth and adjacent Internal Platform. The coastal plain adjacent to the surveyed area is composed of marine-beach sediments deposited during the Quaternary as a series of sandy ridges, coastal lagoons, and dunes . We collected and analyzed 106 km of high-frequency seismic data (CHIRP; frequency: 0.5 – 7.0 kHz) from the southern portion of the mouth of the main channel of the bay . From this, five seismostratigraphic units were identified, which reveal the succession of depositional environments from the end of the Pleistocene to the present. The first unit is ubiquitous, internally transparent, and characterized by an irregular upper surface. This acoustic basement is interpreted as igneous rocks, contiguous with those outcropping along the coast. Inside the bay and close to the headlands, the basement is close to the surface . Unit II, characterized by transparent seismic facies, represents Pleistocene sedimentary deposits, which were excavated by the local drainage system . These were subsequently capped by Unit III, consisting of continuous, high-amplitude reflectors and interpreted as middle Holocene transgressive deposits. Here, the morphostratigraphy of a barrier-lagoon system is observed along the Internal Platform, whereas inside the bay, Unit III deposits are predominantly channel fill . Characterized by internal parallel and/or subparallel reflectors, Unit IV is composed of characteristic sea-level highstand deposits (e.g., tidal flats and estuarine deposits) in the interior of the bay, and sandy barriers at the mouth . Finally, present throughout the survey area, Unit V consists of modern deposits characterized by high-intensity and continuous internal reflectors. Bedforms occur in this unit. Based on these findings, an evolutionary model of coastal change during the late Pleistocene to late Holocene regressive-transgressive episode is proposed. In this model, channels within the bay excavated earlier Pleistocene deposits as they flowed over the exposed platform. Then, with sea level at or near it’s middle Holocene maximum, estuarine deposits were formed within the bay, capping the channels that were filled during the transgression. Meanwhile, the barrier-lagoon system on the Inner Platform was abandoned and overtopped with marine sediments. Finally, with sea level near its maximum or slowly falling over the last 5000 years, modern sedimentation patterns were established, with active seafloor bedforms marking locations with more intense flow.

Presentation, Oficial Abstract and Audio are available.

Between October 26 and 29, 2021, the XI Meeting of the BRASPOR Network took place, in which the student Lauren F. Cruz presented her work entitled “Analysis of the evolution and dynamics of the mangrove forest in Baia da Babitonga, Santa Catarina, Brazil “. The abstracts’ book and the official presentation can be found on the event’s official page.

Available on Youtube.

MCTIC/CNPq Public Call – No. 21/2017 – Pesquisa e Desenvolvimento em Ações Integradas e Sustentáveis nas Baías do Brasil

Presentation of Baysqueeze Project progress. Date: 05/8/2021.

“Implementação de uma API em arquitetura serverless no ambiente da AWS para predição de batimetria em estuários através da aplicação de métodos de aprendizado de máquina em imagens multiespectrais de satélites” Title of the undergraduate thesis of Ricardo Santacattarina, project scholarship holder.

Available on YouTube.

SANTACATTARINA, R.C. Implementação de uma API em arquitetura serverless no ambiente da AWS para predição de batimetria em estuários através da aplicação de métodos de aprendizado de máquina em imagens multiespectrais de satélites. 2021. 27f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) – Universidade Federal de Santa Catarina, Florianópolis.

“Obtenção de batimetria em estuários através da aplicação de métodos de aprendizado de máquina em imagens multiespectrais de satélites” Title of the undergraduate thesis of Vinícius Camozzato Vaz , project scholarship holder.

Available on Google Drive.

VAZ, V.C. Obtenção de batimetria em estuários através da aplicação de métodos de aprendizado de máquina em imagens multiespectrais de satélites. 2021. 39f. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) – Universidade Federal de Santa Catarina, Florianópolis.

Sarah Grace Lott defended her honors thesis in the William & Mary Geology Department. Sarah was supervised by Professor Christopher Hein, both collaborating on the BaySqueeze project, contributing to the Goal 2: Structure and sediment composition of Babitonga Bay.

Available on YouTube.

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The project is financed by the public call: CNPq MCTIC/CNPq – N° 21/2017 – Pesquisa e Desenvolvimento em Ações Integradas e Sustentáveis nas Baías do Brasil, Linha de Pesquisa 2 – Outras Baías do Brasil; Process No. 441545/2017-3.

Geological Evolution of the Holocene and Upper Pleistocene at Babitonga Bay, SC Sedimentary Structure and Composition of Babitonga Bay.

CASSIE is an open source web tool that allows the automatic mapping and analysis of the coastline in any coastal zone of the planet. To perform these procedures CASSIE uses the tools and multi-spectral satellite images made available by the Google Earth Engine platform. CASSIE has access to the image collection belonging to the Landsat 5, 7, 8 and sentinel-2 missions. As the Google Earth Engine platform is cloud-based, CASSIE requires internet access, and CASSIE data processing is performed by the Google Cloud platform, making the tool accessible to less robust computers.

Project member, participates in the live of the Laboratory of Geology and Coastal and Ocean Geomorphology (LGCO) and the BRASPOR Network, about satellite mapping of the shoreline.

Live  available on YouTube.