@Article{Ponzoni:2016:ImToCo,
author = "Ponzoni, Fl{\'a}vio Jorge",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Impact of topographic correction on soil and vegetation cover
spectral characterization by TM/Landsat 5 imagery",
journal = "Cerne",
year = "2016",
volume = "22",
number = "3",
pages = "289--298",
month = "July/Sept.",
keywords = "C-correction, Spectral characterization, Topographic correction.",
abstract = "Several topographic correction methods have been developed to be
applied to orbital imagery. The main objective of these
initiatives has been focused on improving land cover mapping.
Despite of some discussions that include spectral approaches, no
attention has been given to the impact of such correction on the
spectral characterization of different targets. That impact can
influence relationships commonly explored between radiometric data
from orbital imagery and biophysical and/or geophysical
parameters. TM/Landsat 5 images (orbit 218, row 76) from a
mountainous region located between S{\~a}o Paulo, Minas Gerais
and Rio de Janeiro states (Brazil) were converted to surface
reflectance values. Two topographic correction methods considering
different sampling strategies were applied. The local illumination
was taking into account during the result analysis in order to
evaluate the selective effect of the topographic correction on the
spectral characterization of bare soils and vegetated surfaces.
The results indicated that the sampling strategy influences both
the visual aspect of the topographic corrected images and the
spectral characterization of targets. Spectral distortions caused
by the topographic correction procedures were higher at darker
illumination conditions. The topographic correction is a procedure
that deserves attention when exploring spectral characterization
of different targets. Sometimes it contributes positively in
qualitative approaches such as mapping or digital classification,
but it can imply in severe influence on quantitative approaches
that are dependent on the targets spectral characterization.",
doi = "10.1590/01047760201622032121",
url = "http://dx.doi.org/10.1590/01047760201622032121",
issn = "0104-7760",
language = "en",
urlaccessdate = "27 abr. 2024"
}