@Article{SilvaParaFreiOliv:2013:EvDiCl,
author = "Silva, A. Q. and Paradella, Waldir Renato and Freitas, Corina da
Costa and Oliveira, Cleber Gonzales de",
affiliation = "Institute of Geoscience, Federal University of Par{\'a} (UFPA),
Rua Augusto Corr{\^e}a, 01-Guam{\'a}, Caixa postal 479,
Bel{\'e}m-PA, 66075-110, Brazil and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and Latitude Consultoria Ltd., Av. S{\~a}o
Jo{\~a}o, 2400-C-201-Jardim Colinas, S{\~a}o Jos{\'e} dos
Campos-SP",
title = "Evaluation of digital classification of polarimetric SAR data for
iron-mineralized laterites mapping in the Amazon Region",
journal = "Remote Sensing",
year = "2013",
volume = "5",
number = "6",
pages = "3101--3122",
month = "June",
keywords = "polarimetric SAR, digital classification, geology laterites
mapping, Caraj{\'a}s Province.",
abstract = "This study evaluates the potential of C- and L-band polarimetric
SAR data for the discrimination of iron-mineralized laterites in
the Brazilian Amazon region. The study area is the N1 plateau
located on the northern border of the Caraj{\'a}s Mineral
Province, the most important Brazilian mineral province which has
numerous mineral deposits, particularly the worlds largest iron
deposits. The plateau is covered by low-density savanna-type
vegetation (campus rupestres) which contrasts visibly with the
dense equatorial forest. The laterites are subdivided into three
units: chemical crust, iron-ore duricrust, and hematite, of which
only the latter two are of economic interest. Full polarimetric
data from the airborne R99B sensor of the SIVAM/CENSIPAM (L-band)
system and the RADARSAT-2 satellite (C-band) were evaluated. The
study focused on an assessment of distinct schemes for digital
classification based on decomposition theory and hybrid approach,
which incorporates statistical analysis as input data derived from
the target decomposition modeling. The results indicated that the
polarimetric classifications presented a poor performance, with
global Kappa values below 0.20. The accuracy for the
identification of units of economic interest varied from 55% to
89%, albeit with high commission error values. In addition, the
results using L-band were considered superior compared to C-band,
which suggest that the roughness scale for laterite discrimination
in the area is nearer to L than to C-band.",
doi = "10.3390/rs5063101",
url = "http://dx.doi.org/10.3390/rs5063101",
issn = "2072-4292",
label = "lattes: 8338993621160610 2 SilvaParaFreiOliv:2013:EvDiCl",
language = "en",
targetfile = "paredella.pdf",
url = "http://www.mdpi.com/journal/remotesensing",
urlaccessdate = "07 maio 2024"
}