A distributed processing and cloud based tool to deal with satellite image processing for shoreline analysis

Autores

  • Rafael Queiroz Gonçalves Universidade do Vale do Itajaì
  • Luis Almeida CoLAB +ATLANTIC-Estrada da Malveira da Serra Cascais, Portugal
  • Lais Pool Geoscience Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
  • Antonio Henrique da Fountoura Klein Universidade Federal de Santa Catarina
  • Anita Fernandes Universidade do Vale do Itajaí, Brasil

DOI:

https://doi.org/10.14210/cotb.v14.p498-500

Resumo

ABSTRACT
The analysis of shorelines is an important activity that can support
specialist from several areas in decision making based on statistical
analysis about evaluation of water segments over shorelines and the
forecasting of its progress. However, to perform such analysis
based on digital images it is necessary a huge data processing.
Currently an extensive data set of images are available, that can be
used as a source for shoreline analysis and can be processed by
computers through image processing algorithms. In this context,
this paper presents a technical perspective of a tool for performing
shoreline analysis based on satellites images named Coastal
Analyst System from Space Imagery Engine (CASSIE). This tool
works as an orchestrator of cloud-based APIs. This paper presents
the overall architecture of this tool as well as its main use cases.
The evaluation of this tool is discussed based on its usage by
specialists and the provided feedback.

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Publicado

03-05-2023

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