Identification of Continental Wetlands Using Different Orbital Remote Sensors

Authors

Keywords:

False color composite imagery, multispectral sensor, Pantanal, photo interpretation, Ramsar sites

Abstract

This paper evaluates the potential of false-color composite images, from
3 different remote sensing satellites, for the identification of continental wetlands.
Landsat 8, Sentinel-2, and CBERS-4 scenes from three different Ramsar sites (i.e.,
sites designated to be of international importance) two sites located within the Mato-
Grossense Pantanal, and one within the Sul-mato-grossense were used for analyses. For
each site, images from both the dry and rainy seasons were analyzed using Near-
Infrared (NIR), Shortwave Infrared (SWIR), and visible (VIS) bands. The results show
that false-color composite images from both the Landsat 8 and the Sentinel-2 satellites,
with both SWIR 2-NIR-BLUE and NIR-SWIR-RED spectral band combinations, allow
the identification of wetlands.

Author Biographies

  • Isadora Taborda Silva, UFMS

    ORCid:0000-0001-9053-4329 Geoprocessing Laboratory for Environmental Applications, Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, University City s/n, 79070-900 Campo Grande, MS, Brazil

  • Jéssica Rabito Chaves, UFMS

    ORCid:0000-0003-2763-3361 Geoprocessing Laboratory for Environmental Applications, Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, University City s/n, 79070-900 Campo Grande, MS, Brazil

  • Helen Rezende de Figueiredo, UFMS

    ORCid: Geoprocessing Laboratory for Environmental Applications, Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, University City s/n, 79070-900 Campo Grande, MS, Brazil

  • Bruno Silva Ferreira, UFMS

    ORCid:0000-0002-0697-2834 Geoprocessing Laboratory for Environmental Applications, Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, University City s/n, 79070-900 Campo Grande, MS, Brazil

  • César Claudio Cáceres Encina, UFMS

    ORCid:0000-0001-8061-9804 Geoprocessing Laboratory for Environmental Applications, Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, University City s/n, 79070-900 Campo Grande, MS, Brazil

  • Normandes Matos da Silva, UFR

    Universidade Federal de Rondonópolis, Instituto de Ciências Agrárias e Tecnológicas, Laboratório de Geotecnologias, Avenida dos Estudantes, 5055 - Cidade Universitária, 78736-900, Rondonópolis, MT, Brazil

  • Eliane Guaraldo, UFMS

    Universidade Federal de Mato Grosso do Sul, Faculdade de Engenharia, Arquitetura e Urbanismo e Geografia, Laboratório de Paisagismo, Cidade Universitária s/n, 79070-900, Campo Grande, MS, Brazil

  • Antonio Conceição Paranhos Filho, UFMS

    Universidade Federal de Mato Grosso do Sul, Faculdade de Engenharia, Arquitetura e Urbanismo e Geografia, Laboratório de Geoprocessamento para Aplicações Ambientais, Cidade Universitária s/n, 79070-900, Campo Grande, MS, Brazil

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Published

2021-03-30

Issue

Vol. 15 (2021)

Section

Articles

License

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How to Cite

Identification of Continental Wetlands Using Different Orbital Remote Sensors. Terr@ Plural, [S. l.], v. 15, p. 1–25, 2021. Disponível em: https://revistas.uepg.br/index.php/tp/article/view/15518. Acesso em: 30 apr. 2026.