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		<doi>10.1016/j.cageo.2016.12.002</doi>
		<issn>0098-3004</issn>
		<citationkey>ValerianoRoss:2017:ReLoGe</citationkey>
		<title>Regionalization of local geomorphometric derivations for geological mapping in the sedimentary domain of central Amazônia</title>
		<year>2017</year>
		<month>Mar.</month>
		<typeofwork>journal article</typeofwork>
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		<author>Valeriano, Márcio de Morisson,</author>
		<author>Rossetti, Dilce de Fátima,</author>
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		<group>DIDSR-CGOBT-INPE-MCTIC-GOV-BR</group>
		<group>DIDSR-CGOBT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>valerian@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress>dilce.rossetti@inpe.br</electronicmailaddress>
		<journal>Computers and Geosciences</journal>
		<volume>100</volume>
		<pages>46-56</pages>
		<secondarymark>A1_GEOGRAFIA A1_ENGENHARIAS_II A1_ENGENHARIAS_I A2_INTERDISCIPLINAR A2_ENGENHARIAS_III A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_SAÚDE_COLETIVA B1_GEOCIÊNCIAS B1_BIODIVERSIDADE B2_CIÊNCIAS_BIOLÓGICAS_II</secondarymark>
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		<keywords>Amazônia, Geological mapping, Geomorphometry, Sedimentology, SRTM.</keywords>
		<abstract>This paper reports procedures to prepare locally derived geomorphometric data for geological mapping at regional scale in central Amazônia. The size of the study area, approximately 1.5 million km2, and the prevailing flat topography of the targeted environment were the constraints motivating the aims, at spatial and numerical synthesis of the detailed geomorphometric information derived from SRTM DEM. The developed approach consisted in assigning single (average) values to terrain patches, to represent the regional distribution of pixel-based geomorphometric information (slope, profile curvature and relative relief). In analogy to the nature of sedimentary packs, patches were established as contiguous elevation strata, constructed through a procedure combining segmentation, filterings and range compressions. For slope only, pre-processing of locally derived data with median filtering effectively avoided the typical flattening of the regionalized results due to input distribution characteristics. Profile curvature was transformed into absolute values and thus a different meaning from the original (pixel) variable was considered in the interpretation, also avoiding the compensation of original values (positive and negative) tending to zero value when averaged through a regionally flat extension. Examinations near major river valleys showed patched elevation to depict alluvial terraces. In the interfluves and floodplains, contrasting patterns in the averaged variables among patches of similar elevations allowed the recognition of important relief features. In addition to the reduction of the distribution ranges, the correlation between regionalized geomorphometric variables was higher than observed in the originally local data, due to the thematic synthesis following regionalization. Depth of dissection, claimed to be related to the relative age of sedimentary units, was the main factor to explain the overall variations of the geomorphometric results. The developed regionalization process improved the potential of local geomorphometric data for updating and revision of geological maps and for guiding future surveys in the sedimentary domain of Amazônia.</abstract>
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		<language>en</language>
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