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Field Perception of the Boundary Between Soil and Saprolite by Pedologists and its Differentiation Using Mathematical Models Rev. Bras. Ciênc. Solo
Santos,Roseclênia Alves; Sermarini,Renata Alcarde; Guerra,Adriano Ribeiro; Santos,Jean Cheyson Barros dos; Azevedo,Antonio Carlos de.
ABSTRACT Saprolite plays a central role into hydrologic and nutrient cycles. Despite that, saprolite research is scattered and uses heterogeneous, sometimes conflicting, methods and concepts. During field work, it is difficult to assign the boundary between soil and saprolite. This paper aimed to identify the subjacent logic that pedologists use to assign to a regolith volume its soil or saprolite nature. To achieve this goal, a tree algorithm was used to build a hierarchy of physical and chemical properties of a set of regolith profiles. Such hierarchization expose the inner, subjective criteria used by researchers during the assignment of a certain profile zone as saprolite or soil. The following variables were measured: total porosity (TP); bulk density...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Regolite; Subsolum; Weathering; Classification system.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100302
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Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome Acta Amazonica
NEVES,Alana Kasahara; KÖRTING,Thales Sehn; FONSECA,Leila Maria Garcia; ESCADA,Maria Isabel Sobral.
ABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Land cover; Classification system; Remote sensing; PRODES; Non-forest; Geospatial analysis.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170
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