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6 September 2016 Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
Francisca Rocha de Souza Pereira, Milton Kampel, Marilia Cunha-Lignon
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Abstract
The potential use of phased array type L-band synthetic aperture radar (PALSAR) data for discriminating distinct physiographic mangrove types with different forest structure developments in a subtropical mangrove forest located in Cananéia on the Southern coast of São Paulo, Brazil, is investigated. The basin and fringe physiographic types and the structural development of mangrove vegetation were identified with the application of the Kruskal–Wallis statistical test to the SAR backscatter values of 10 incoherent attributes. The best results to separate basin to fringe types were obtained using copolarized HH, cross-polarized HV, and the biomass index (BMI). Mangrove structural parameters were also estimated using multiple linear regressions. BMI and canopy structure index were used as explanatory variables for canopy height, mean height, and mean diameter at breast height regression models, with significant R2=0.69, 0.73, and 0.67, respectively. The current study indicates that SAR L-band images can be used as a tool to discriminate physiographic types and to characterize mangrove forests. The results are relevant considering the crescent availability of freely distributed SAR images that can be more utilized for analysis, monitoring, and conservation of the mangrove ecosystem.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Francisca Rocha de Souza Pereira, Milton Kampel, and Marilia Cunha-Lignon "Mangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data," Journal of Applied Remote Sensing 10(3), 036021 (6 September 2016). https://doi.org/10.1117/1.JRS.10.036021
Published: 6 September 2016
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Backscatter

Vegetation

Polarization

Brain-machine interfaces

L band

Scattering

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