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Coastal dynamics analysis based on orbital remote sensing big data and multivariate statistical models

Coastal dynamics analysis based on orbital remote sensing big data and multivariate statistical models

Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Carlos Henrique Grohmann, Eduardo Siegle

ARTIGO

Inglês

Agradecimentos: The authors thank the Oceanographic Institute of the University of São Paulo, the Institute of Geosciences of the State University of Campinas, the Spatial Analysis and Modelling Lab (SPAMLab) hosted at the Institute of Energy and Environment of the University of São Paulo, and the... Ver mais
Abstract: As the interface between land and water, coastlines are highly dynamic and intricately tied to the sediment budget. These regions have a high functional diversity and require enlightened management to preserve their value for the future. In this study we assess changes to the São Paulo... Ver mais

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

2020/12050-6; 308229/2022-3; 306931/2022-2

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

Aberto

Coastal dynamics analysis based on orbital remote sensing big data and multivariate statistical models

Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Carlos Henrique Grohmann, Eduardo Siegle

										

Coastal dynamics analysis based on orbital remote sensing big data and multivariate statistical models

Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Carlos Henrique Grohmann, Eduardo Siegle

    Fontes

    Coasts (Fonte avulsa)