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• W2275556663 abstract "Fan-shaped morphologies related to late Quaternary residual megafan depositional systems are common features over wide areas in northern Amazonia. These features were formed by ancient distributary drainage systems that are in great contrast to tributary drainage networks that typify the modern Amazon basin. The surfaces of the Amazonian megafans constitute vegetacional mosaic wetlands with different campinarana types. A fine-scale-resolution investigation is required to provide detailed classification maps for the various campinarana and surrounding forest types associated with the Amazonian megafans. This approach remains to be presented, despite its relevance for analysing the relationship between stages of plant succession and sedimentary dynamics associated with the evolution of megafans. In this work, we develop a methodology for classifying vegetation over a fan-shaped megafan palaeoform from a northern Amazonian wetland. The approach included object-based image analysis OBIA and data-mining DM techniques combining Advanced Spaceborne Thermal Emission and Reflection Radiometer ASTER images, land-cover fractions derived by the linear spectral mixing model, synthetic aperture radar SAR images, and the digital elevation model DEM acquired during the Shuttle Radar Topography Mission SRTM. The DEM, vegetation fraction, and ASTER band 3 were the most useful parameters for defining the forest classes. The normalized difference vegetation index NDVI, ASTER band 1, vegetation fraction, and the Advanced Land Observing Satellite ALOS/Phased Array type L-band Synthetic Aperture Radar PALSAR transmitting and receiving horizontal polarization HH and transmitting horizontal and receiving vertical polarization HV were all effective in distinguishing the wetland classes campinarana and Mauritia. Tests of statistical significance indicated the overall accuracies and kappa coefficients κ of 88% and 0.86 for the final map, respectively. The allocation disagreement coefficient of 5% and a quantity disagreement value of 7% further attested the statistical significance of the classification results. Hence, in addition to water, exposed soil, and deforestation areas, OBIA and DM were successful for differentiating a large number of open forest, wood, shrub, and grass campinaranas, forest terra firme, varzea, igapo, and alluvial, as well as Mauritia wetland classes in the inner and outer areas of the studied megafan." @default.
• W2275556663 created "2016-06-24" @default.
• W2275556663 creator A5046327497 @default.
• W2275556663 creator A5072492825 @default.
• W2275556663 date "2015-07-02" @default.
• W2275556663 modified "2023-09-24" @default.
• W2275556663 title "Mapping vegetation in a late Quaternary landform of the Amazonian wetlands using object-based image analysis and decision tree classification" @default.
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• W2275556663 doi "https://doi.org/10.1080/01431161.2015.1060644" @default.
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