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Using spectral analysis of Landsat-5 TM images to map coastal wetlands in the Amazon River mouth, Brazil

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Abstract

Tropical coastal wetlands form complex and dynamic ecosystems based on a mixture of vegetation, soil, and water components. Optical remotely sensed data have often been used to characterize and monitor these ecosystems, which are among the environments most threatened by climate change and anthropogenic activity worldwide. The present study sought to evaluate the spectral response of Landsat-5 Thematic Mapper (TM) images for the interpretation of different wetlands and associated environments at the mouth of the Amazon River, including mangroves, saltmarshes, beaches, and dunes, as well as secondary vegetation, water with different levels of sediment suspension, and human occupation. A Spectral Angle Mapper (SAM) classifier was applied to the analysis of Landsat-5 TMsatellite imagery to evaluate the potential for the mapping of these coastal wetland land cover classes. The characterization and comparison of the different spectral classes were obtained through the collection of at least 20 polygonal samples (5 × 5 pixels) for each class, with a total of 4,544 points. Spectral separability indices for each pair of classes were based on an Analysis of Variance, with Tukey post-test. The results indicated that most land cover classes could be separated spectrally with Landsat-5 TM. The overall accuracy and Kappa indices for the results of the classification were 86.1 and 0.84 %, respectively. The results of this spectral analysis demonstrated the potential of the SAM classifier for the classification of the different tropical wetlands in a typical Amazon coastal setting from optical remotely sensed data.

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Acknowledgments

The present study was part of our Marine Science and Universal projects, supported by CAPES and CNPq (Brazil), respectively. We would also like to acknowledge the Amazon Protection System (SIPAM) and Amazon Institute of People and the Environment (Imazon) for supporting research in the Amazon, and the Brazilian Institute for Space Research (INPE) and the Global Land Cover Facility Project for supplying us with images. Finally, we would also like to thank the reviewers for their valuable contribution to the final version of this manuscript. The third author is grateful to CNPq for a research Grant.

Funding

This research was supported by Oceanographic Project to study Brazilian mangroves. It was approved under the Notice of Marine Sciences from CAPES, for the period 2010–2014.

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Authors and Affiliations

  1. Laboratório de Análise de Imagens do Trópico Úmido, Universidade Federal do Pará, Instituto de Geociências, Cidade Universitária, Av. Augusto Correa 1, PO Box 8608, Belém, Pará, 66075-110, Brazil

    Gustavo F. Cardoso & Pedro Walfir M. Souza-Filho

  2. Instituto do Homem e Meio Ambiente da Amazônia, IMAZON, Rua Domingos Marreiros, 2020, Altos, 66060-160, Belém, Pará, Brazil

    Carlos Souza Jr.

  3. Vale Institute of Technology, Rua Boaventura da Silva 955, Belém, Pará, 66055-090, Brazil

    Pedro Walfir M. Souza-Filho

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  1. Gustavo F. Cardoso
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Correspondence to Pedro Walfir M. Souza-Filho.

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Cardoso, G.F., Souza, C. & Souza-Filho, P.W.M. Using spectral analysis of Landsat-5 TM images to map coastal wetlands in the Amazon River mouth, Brazil. Wetlands Ecol Manage 22, 79–92 (2014). https://doi.org/10.1007/s11273-013-9324-4

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