Caracterização socioeconômica e mapeamento do uso e ocupação da terra do litoral sul do estado de São Paulo

Dias, Renê Lepiani; Oliveira, Regina Célia de

doi:10.1590/1982-451320150108

Cited by 12 publications

(8 citation statements)

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“…This is because in addition to fishing practices, domestic activities and children care are also the responsibility of women, which indicates work overload. In the coastal/marine region, although women do not develop activities in the same spaces as men, they occupy an important niche, acting in the aforementioned functions (Maneschy, 1995;Dias and Oliveira, 2015;Musiello-Fernandes et al, 2018b;Abreu et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Artisanal Fishing on the Coast of Espírito Santo State, Southeastern Brazil: An Approach to Socioenvironmental Oceanography

Musiello-Fernandes¹,

Oliveira²,

Araújo³

et al. 2021

Bol. Inst. Pesca

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Artisanal fishing is an important traditional activity on the coast of Espírito Santo (ES) State, southeastern Brazil. Despite this, there is a lack of updated data on artisanal fishing and its interfaces with socioenvironmental oceanography. The present study describes the social profile of fishers (gender, age, education, and period of professional activity) and the fishing activity (fishing gear and target species) along the coast of Espírito Santo State. Interviews with semi-structured questionnaires were carried out with 366 artisanal fishers living in 10 fishing communities. The interviewed fishers are mostly male, with low education, who had been fishing for more than 41 years (32%). The fishers described 59 target ethnospecies, with eight being common in 90% (n = 9) of the communities under study. These workers use the following fishing gear: line, longline, gillnet, trawl net, and harpoon. Socioenvironmental oceanography enables obtaining basic information on artisanal fishing, which can support the development of public policies for the sector with a view to maintaining this activity in Espírito Santo State.

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Section: Discussionmentioning

confidence: 99%

Artisanal Fishing on the Coast of Espírito Santo State, Southeastern Brazil: An Approach to Socioenvironmental Oceanography

Musiello-Fernandes¹,

Oliveira²,

Araújo³

et al. 2021

Bol. Inst. Pesca

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“…These protected areas-part of the World Heritage-listed Atlantic Forest South-East Reserves-comprise one of the largest and best-preserved areas of Brazilian Atlantic Forest, one of the most threatened biomes in the world (https://whc.unesco.org/ en/list/893). The Vale do Ribeira holds 21% of the total area of this forest in Brazil, making it the largest contiguous area of any ecosystem in Brazil (Dias et al, 2015). Besides that, the area is host to important indigenous communities.…”

Section: Case Study: Vale Do Ribeiramentioning

confidence: 99%

A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil

Machicao

Specht

Vellenich

et al. 2022

Data Science Journal

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Socioeconomic indicators are essential to help design and monitor the impact of public policies on society. Such indicators are usually obtained through census data collected at 10-year intervals, which are not only temporally coarse but expensive. Over recent years other ways of collecting data and producing these indicators have been explored, in particular using the new surveillance capabilities that remote observations can provide. The objective of this paper is to evaluate the assessment of socioeconomic indicators using street-view imagery, through a case study conducted in a region of Brazil, the Vale do Ribeira, one of the poorest semi-rural regions in Brazil. In this study we used socioeconomic indicators collected by the Brazilian Institute of Geography and Statistics (IBGE) and used Google Street View (GSV) images as our source of remote observations. A pre-trained convolutional neural network (CNN) was used to predict socio-economic indicators from GSV. To evaluate the performance of the classifier, we performed five-fold cross-validation between the predicted indicator and its true value. The best performance was obtained for the highest income class, with 80% of correct prediction. We conclude that the method has the potential to predict socioeconomic indicators across a large area with social challenges such as Vale do Ribeira, and that the network model is general enough to be used even when the imagery dataset is from semi-rural areas. This demonstrates the applicability of GSV datasets for similar settings and perhaps ensuring their replicability, which is a scientific requirement that requires further experimentation/evaluation.

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“…O clima predominante na bacia é do tipo subtropical úmido com quatro estações bem definidas, apresentando invernos frios com temperaturas em torno de 13ºC e verões quentes com temperaturas em torno de 29ºC. A pluviosidade anual varia entre 1700 a 1800 mm com temperatura média anual em torno dos 23ºC (DIAS; OLIVEIRA, 2015).…”

Section: áRea De Estudounclassified

Avaliação das características físicas da bacia hidrográfica do Rio Pariquera-Açu no Baixo Ribeira De Iguape (SP)

Coliado

Simonetti

Silva

2020

RHE

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As características morfométricas das bacias hidrográficas são elementos essenciais para a avaliação do comportamento hidrológico e sua relação com a maximização ou minimização dos impactos ambientais. Dessa forma, o objetivo deste estudo foi analisar a morfometria da bacia hidrográfica do rio Pariquera-Açu no Baixo Ribeira de Iguape (SP) com o uso de técnicas geoprocessamento, visando obter informações que forneçam subsídios para o planejamento e gestão desta área quanto à preservação, racionalização do seu uso e recuperação ambiental. A bacia hidrográfica possui uma área de 345,27 km² e suas principais atividades econômicas provém do cultivo de chá e banana. As curvas de nível foram extraídas do Modelo Digital do Terreno (MDT) do satélite japonês Alos e a hidrografia das cartas topográficas do Instituto Geográfico e Cartográfico (IGC) para determinação dos índices morfométricos. Os resultados demonstraram que os valores medianos da densidade de drenagem, associados à presença de áreas planas e baixo coeficiente de rugosidade, facilitam a infiltração da água no solo, diminuindo o escoamento superficial, bem como o risco de erosão e degradação ambiental, e, ainda, propicia o desenvolvimento agrícola. Os valores baixos do índice de circularidade e do coeficiente de compacidade indicam que a bacia tende a ser alongada, com menor suscetibilidade à ocorrência de enchentes acentuadas. Entretanto, devido ao relevo suave nas áreas próximas aos cursos de água podem ocorrer episódios de enchentes, portanto, estas áreas devem receber uma atenção especial por parte dos gestores públicos ao que tange o monitoramento e ações de conservação.

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Caracterização socioeconômica e mapeamento do uso e ocupação da terra do litoral sul do estado de São Paulo

Cited by 12 publications

References 1 publication

Artisanal Fishing on the Coast of Espírito Santo State, Southeastern Brazil: An Approach to Socioenvironmental Oceanography

Artisanal Fishing on the Coast of Espírito Santo State, Southeastern Brazil: An Approach to Socioenvironmental Oceanography

A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil

Avaliação das características físicas da bacia hidrográfica do Rio Pariquera-Açu no Baixo Ribeira De Iguape (SP)

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