Análise temporal de recorrência de áreas inundadas em Porto Alegre utilizando imagens Landsat e Sentinel-1

This study uses the collection of Landsat images to analyze the recurrence of flooded areas in the Porto Alegre region, highlighting its entire temporal scale from 1984 to the present, analyzing the images with the highest index. Additionally, the use of Sentinel-1 data, despite its smaller temporal scale, is explored to complement the analysis of flooded areas. Using qualitative, quantitative and exploratory methodology, the research demonstrates that the joint use of technologies such as Landsat and Sentinel-1 significantly increases the potential for analysis and monitoring, providing a robust data set, which contributes to decision-making in the context of disaster mitigation and urban planning in vulnerable areas such as Porto Alegre.

Authors

Publication Details

Journal
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Published
2025-05-21
DOI
https://doi.org/10.5902/2179460x91599
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Análise temporal de recorrência de áreas inundadas em Porto Alegre utilizando imagens Landsat e Sentinel-1

Rodrigo Bruno Zanin, André Luis Sotero Salustiano Martim, Cristiano Poleto, VINICIUS VANDERLEY MIGUEL DA SILVA SILVA et al.
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Flood Risk Assessment and Management
article

Análise temporal de recorrência de áreas inundadas em Porto Alegre utilizando imagens Landsat e Sentinel-1

Rodrigo Bruno Zanin, André Luis Sotero Salustiano Martim, Cristiano Poleto, VINICIUS VANDERLEY MIGUEL DA SILVA SILVA, Francisco Lledo dos Santos
article en

Abstract

This study uses the collection of Landsat images to analyze the recurrence of flooded areas in the Porto Alegre region, highlighting its entire temporal scale from 1984 to the present, analyzing the images with the highest index. Additionally, the use of Sentinel-1 data, despite its smaller temporal scale, is explored to complement the analysis of flooded areas. Using qualitative, quantitative and exploratory methodology, the research demonstrates that the joint use of technologies such as Landsat and Sentinel-1 significantly increases the potential for analysis and monitoring, providing a robust data set, which contributes to decision-making in the context of disaster mitigation and urban planning in vulnerable areas such as Porto Alegre.

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Sustainable cities and communities
Openalex Percentile: Top 34%
Flood Risk Assessment and Management
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