Image Processing of Brazilian Satellites CBERS-4 and CBERS-4A for Rapid Disaster Responses

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Published: Aug 30, 2024
DOI: https://doi.org/10.14393/rbcv76n0a-70194
Keywords:
Disasters, Landslides, Floods, Brazilian satellites, Image processing

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Brenda Oliveira Rocha
Instituto Nacional de Pesquisas Espaciais (INPE)
https://orcid.org/0000-0002-8286-4085
Thales Sehn Körting
Instituto Nacional de Pesquisas Espaciais (INPE)
https://orcid.org/0000-0002-0876-0501
Laercio Massaru Namikawa
Instituto Nacional de Pesquisas Espaciais (INPE)
https://orcid.org/0000-0001-7847-1804

Abstract

Satellite images can contribute to the identification and analysis of areas affected by natural disasters, through the use of Digital Image Processing (DIP) techniques that highlight areas of interest. The International Charter “Space and Major Disasters” is the world's main cooperation between space agencies for the free provision of emergency data and relies on Brazil in the process of responding to calls. Giving importance to emergency requests, this research proposes the use of Brazilian satellites to systematize DIP techniques as an aid to the management of disasters such as landslides and regional floods. We present two case studies: the landslides in Petrópolis (RJ), which occurred in 2022, and the regional floods in three provinces of Pakistan, in 2022. Data mining performed with the support of the Random Forest (RF) algorithm was adopted to extract the main attributes that were later combined in the RGB color space for quick identification of affected areas. The proposed color composition for Petrópolis was based on the selection of a principal component, vegetation index and hue component of the IHS color transformation, with a Global Accuracy (GA) of 81.82%, obtained from MUX/CBERS-4A data. The suggested composition for Pakistan was based on the selection of the NIR band and the first and second principal components, with an GA of 88.33%, using WFI/CBERS-4 images. All areas of interest could be successfully highlighted based on the suggested compositions.

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How to Cite
ROCHA, B. O.; KÖRTING , T. S.; NAMIKAWA , L. M. Image Processing of Brazilian Satellites CBERS-4 and CBERS-4A for Rapid Disaster Responses. Revista Brasileira de Cartografia, [S. l.], v. 76, 2024. DOI: 10.14393/rbcv76n0a-70194. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/70194. Acesso em: 1 sep. 2024.
Issue
Vol. 76 (2024): Continuous Publication
Section
Remote Sensing
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Author Biographies

Brenda Oliveira Rocha, Instituto Nacional de Pesquisas Espaciais (INPE)

Brenda Oliveira Rocha é doutoranda em Sensoriamento Remoto no Instituto Nacional de Pesquisas Espaciais (INPE). Ela recebeu seu diploma de bacharel em Ciências Ambientais pela Universidade Federal do Ceará (UFC) e seu mestrado em Sensoriamento Remoto pelo INPE em 2021 e 2023, respectivamente. Ela é membro da equipe de pesquisadores brasileiros da Carta Internacional "Space and Major Disasters", com o objetivo de fornecer mapas de emergência de áreas potencialmente afetadas por eventos extremos.

Thales Sehn Körting , Instituto Nacional de Pesquisas Espaciais (INPE)

Thales é pesquisador no Instituto Nacional de Pesquisas Espaciais (INPE), doutor em Sensoriamento Remoto, com mestrado em Computação Aplicada (ambos títulos obtidos no INPE). Também é Engenheiro de Computação pela Universidade Federal do Rio Grande (FURG). Trabalha com segmentação e classificação de imagens de sensoriamento remoto, análise multitemporal, mineração de dados e inteligência artificial. Atualmente é coordenador do programa de pós-graduação em Sensoriamento Remoto do INPE (PGSER), e também é Secretário Executivo da Carta Internacional Espaço e Grandes Desastres (Disasters Charter)

Laercio Massaru Namikawa , Instituto Nacional de Pesquisas Espaciais (INPE)

Possui graduação em Engenharia Eletrônica pela Universidade do Vale do Paraíba (1988), mestrado em Computação Aplicada pelo Instituto Nacional de Pesquisas Espaciais (1995) e Doutorado em Geografia pela Universidade Estadual de Nova Iorque em Buffalo (2006). Atualmente é Tecnologista Senior do Instituto Nacional de Pesquisas Espaciais. Tem experiência na área de Ciência da Computação, com ênfase em Modelagem Ambiental e Processamento Gráfico, atuando principalmente nos seguintes temas: modelos dinâmicos espaciais, modelagem numérica de terreno, grades irregulares triangulares, modelagem hidrológica, sistemas de alerta para desastres naturais, cor e fusão em sensoriamento remoto.

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