Data/hora: 12/06/2024 09:18:20

Provedor de dados: 	90	
País: 	Brazil	
Título: 	Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil	
Autores: 	Machado,Israel Rosa; Giasson,Elvio; Campos,Alcinei Ribeiro; Costa,José Janderson Ferreira; Silva,Elisângela Benedet da; Bonfatti,Benito Roberto.	
Data: 	2018-01-01	
Ano: 	2018	
Palavras-chave: 	Digital soil mapping; Soil-landscape relationships; Decision trees.	
Resumo: 	ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not represented. Digital Soil Mapping tools supported by information from soil surveys make it possible to predict where these classes are located. The aim of this study was to develop a methodology to increase the detail of conventional soil maps by means of spatial disaggregation of multi-component map units and to predict the spatial location of the derived soil classes. Three digital maps of terrain variables - slope, landforms, and topographic wetness index - were correlated with the soil map and 72 georeferenced profiles from the Porto Alegre soil survey. Explicit rules that expressed regional soil-landscape relationships were formulated based on the resulting combinations. These rules were used to select typical areas of occurrence of each soil class and to train a decision tree model to predict the occurrence of individualized soil classes. Validation of the soil map predictions was conducted by comparison with available soil profiles. The soil map produced showed high agreement (80.5 % accuracy) with the soil classes observed in the soil profiles; Ultisols and Lithic Udorthents were predicted with greater accuracy. The soil variables selected in this study were suitable to represent the soil-landscape relationships, suggesting potential use in future studies. This approach developed a more detailed soil map relevant to current demands for soil information and has potential to be replicated in other areas in which data availability is similar.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100303	
Editor: 	Sociedade Brasileira de Ciência do Solo	
Relação: 	10.1590/18069657rbcs20170193	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Ciência do Solo  v.42 2018	
Fonte: 	info:eu-repo/semantics/openAccess