Geomorphometric Variables
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Pedological Heterogeneity of Soils Developed from Lithologies of the Pirambóia, Sanga-do-Cabral, and Guará Geological Formations in Southern Brazil
ABSTRACT The source material is one of the factors that most influence soil genesis and the mainly responsible for the nature, composition, and behavior of the soil. Given the geological complexity of the Santa Maria River basin, the objective of this study was to investigate whether the new lithologies described recently may be responsible for a greater var
Rev. Bras. Ciênc. Solo. Publicado em: 31/07/2017
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2. Digital soilscape mapping of tropical hillslope areas by neural networks
Geomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, the relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum
Scientia Agricola. Publicado em: 2011-12
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3. Relação entre floresta nativa e dados geomorfométricos, no Planalto Meridional - RS / Relation between native forest and geomorphometric data in the Planalto Meridional ¿ RS
A conservação das florestas é importante para a manutenção de grande parte da biodiversidade natural, tanto da flora como da fauna. No Sul do Brasil, como integrante do bioma Mata Atlântica, destaca-se a Floresta Ombrófila Mista, que ocorre na Região dos Campos de Cima da Serra, no Planalto Meridional. Essa Região, juntamente com os Campos de Altitu
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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4. Dados geomorfométricos como subsídio ao mapeamento da vegetação / Geomorphometric data as subsidy for vegetation mapping
The potentials of geomorphometric variables derived from SRTM (Shuttle Radar Topographic Mission) for the mapping of vegetation types were investigated. Four published vegetation maps for study areas inside three Brazilian biomes (Amazonian forest, Savanna and Steppe) served as reference for testing the discriminatory potential of the geomorphometric variabl
Publicado em: 2007