@Article{CremonRossZani:2014:ClVeOv,
author = "Cremon, {\'E}dipo Henrique and Rossetti, Dilce de F{\'a}tima and
Zani, Hiran",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Classification of Vegetation over a Residual Megafan Landform in
the Amazonian Lowland Based on Optical and SAR Imagery",
journal = "Remote Sensing",
year = "2014",
volume = "6",
number = "11",
pages = "10931--10946",
keywords = "open vegetation patches, Amaz{\^o}nia, megafan, optical and SAR
integration, decision tree.",
abstract = "The origin of large areas dominated by pristine open vegetation
that is in sharp contrast with surrounding dense forest within the
Amazonian lowland has generally been related to past arid
climates, but this is still an issue open for debate. In this
paper, we characterize a large open vegetation patch over a
residual megafan located in the northern Amazonia. The main goal
was to investigate the relationship between this paleolandform and
vegetation classes mapped based on the integration of optical and
SAR data using the decision tree. Our remote sensing dataset
includes PALSAR and TM/Landsat images. Five classes were
identified: rainforest; flooded forest; wooded open vegetation;
grassy-shrubby open vegetation; and water body. The output map
resulting from the integration of PALSAR and TM/Landsat images
showed an overall accuracy of 94%. Narrow, elongated and sinuous
belts of forest within the open vegetation areas progressively
bifurcate into others revealing paleochannels arranged into
distributary pattern. Such characteristics, integrated with
pre-existing geological information, led us to propose that the
distribution of vegetation classes highlight a morphology
attributed to a Quaternary megafan developed previous to the
modern fluvial tributary system. The characterization of such
megafan is important for reconstructing landscape changes
associated with the evolution of the Amazon drainage basin.",
doi = "10.3390/rs61110931",
url = "http://dx.doi.org/10.3390/rs61110931",
issn = "2072-4292",
label = "lattes: 7888258901938956 1 CremonRossZani:2014:ClVeOv",
language = "en",
targetfile = "remotesensing-06-10931cremon.pdf",
url = "http://www.mdpi.com/2072-4292/6/11/10931",
urlaccessdate = "27 abr. 2024"
}