Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/29438
metadata.artigo.dc.title: Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
metadata.artigo.dc.creator: Silva, Sérgio Henrique Godinho
Menezes, Michele Duarte de
Mello, Carlos Rogério de
Góes, Helen Thaís Pereira de
Owens, Phillip Ray
Curi, Nilton
metadata.artigo.dc.subject: Geomorphons
Soil-landscape relationships
Pedology
Landforms
Digital soil mapping
Geomorfonos
Relações solo-paisagem
Pedologia
Mapeamento digital de solos
metadata.artigo.dc.publisher: Escola Superior de Agricultura "Luiz de Queiroz"
metadata.artigo.dc.date.issued: Jul-2016
metadata.artigo.dc.identifier.citation: SILVA, S. H. G. et al. Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions. Scientia Agricola, Piracicaba, v. 73, n. 4, p. 363-370, July/Aug. 2016.
metadata.artigo.dc.description.abstract: The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for generating Geomorphons at 9 radii of calculation for the watersheds. They were overlapped to detailed soil maps of the watersheds and a chi-square test was carried out to assess their relationship with soil types. Observation points were compared with the most highly correlated Geomorphons to also assess relationships with soil properties. Geomorphons with resolution of 30-m and radii of 20 and 50 cells, respectively for LCW and MCW, were more highly correlated with the variability of soil types, in accordance with the terrain features of these watersheds. The majority of observation points for each soil type was located in the same Geomorphon unit that was dominant when analyzing soil maps. There was less variability in soil properties between Geomorphon units, which was probably due to the highly weathered-leached stage of soils. Geomorphons can help to improve soil maps in tropical conditions when assessing soil variability due to its high correlation with tropical soil types variability.
metadata.artigo.dc.identifier.uri: http://repositorio.ufla.br/jspui/handle/1/29438
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos



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