Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/11185
Título: Digital soil mapping: evaluation of sampling systems for soil surveys and refinement of soil maps at lower cost using legacy data
Título(s) alternativo(s): Mapeamento digital de solos: avaliação de sistemas de amostragem em levantamentos de solos e refinamento de mapas de solos existentes usando dados legados a baixo custo
Autores: Curi, Nilton
Curi, Nilton
Mello, Carlos Rogério de
Coelho, Gilberto
Acerbi Junior, Fausto Weimar
Gomes, João Bosco Vasconcellos
Palavras-chave: Pedology
Digital soil maps
Soil surveys
Pedologia
Mapas digitais de solos
Levantamento de solos
Data do documento: 24-Mai-2016
Editor: Universidade Federal de Lavras
Citação: SILVA, S. H. G. Digital soil mapping: evaluation of sampling systems for soil surveys and refinement of soil maps at lower cost using legacy data. 2016. 104 p. Tese (Doutorado em Ciência do Solo)-Universidade Federal de Lavras, Lavras, 2016.
Resumo: In soil surveys, several sampling systems can be used to define the most representative sites for sample collection and description of soil profiles. In recent years, the conditioned Latin hypercube sampling system has gained prominence for soil surveys. In Brazil, most of the soil maps are at small scales and in paper format, which hinders their refinement. The objectives of this work include: (i) to compare two sampling systems by conditioned Latin hypercube to map soil classes and soil properties; (II) to retrieve information from a detailed scale soil map of a pilot watershed for its refinement, comparing two data mining tools, and validation of the new soil map; and (III) to create and validate a soil map of a much larger and similar area from the extrapolation of information extracted from the existing soil map. Two sampling systems were created by conditioned Latin hypercube and by the cost-constrained conditioned Latin hypercube. At each prospection place, soil classification and measurement of the A horizon thickness were performed. Maps were generated and validated for each sampling system, comparing the efficiency of these methods. The conditioned Latin hypercube captured greater variability of soils and properties than the cost-constrained conditioned Latin hypercube, despite the former provided greater difficulty in field work. The conditioned Latin hypercube can capture greater soil variability and the cost-constrained conditioned Latin hypercube presents great potential for use in soil surveys, especially in areas of difficult access. From an existing detailed scale soil map of a pilot watershed, topographical information for each soil class was extracted from a Digital Elevation Model and its derivatives, by two data mining tools. Maps were generated using each tool. The more accurate of these tools was used for extrapolation of soil information for a much larger and similar area and the generated map was validated. It was possible to retrieve the existing soil map information and apply it on a larger area containing similar soil forming factors, at much low financial cost. The KnowledgeMiner tool for data mining, and ArcSIE, used to create the soil map, presented better results and enabled the use of existing soil map to extract soil information and its application in similar larger areas at reduced costs, which is especially important in development countries with limited financial resources for such activities, such as Brazil.
URI: http://repositorio.ufla.br/jspui/handle/1/11185
Aparece nas coleções:Ciência do Solo - Doutorado (Teses)



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