Mapeamento Digital de Solos
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Mapeamento Digital de Solos
Pesquisa em mapeamento digital de solos no Brasil. Inspirada na página Digital Soil Mapping (http://www.scoop.it/t/digital-soil-mapping)
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Scoop.it: Digital Soil Mapping

Scoop.it: Digital Soil Mapping | Mapeamento Digital de Solos | Scoop.it

Não deixe de visitar essa excelente, original e consolidada iniciativa do Prof. Elpídio I. F. Filho, da UFV, que tem como objetivo reunir notícias sobre o mapeamento digital de solos no mundo todo, apresentando um conjunto muito mais completo de informações do que as apresentadas nesta página, que concentra-se na pesquisa nacional. 

Foi essa iniciativa que motivou a criação desta página de mapeamento digital para agregar os resultados que a pesquisa brasileira tem gerado sobre esse assunto. 

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Técnicass e ferramentas de mapeamento digital de solos aplicadas as condições brasileiras para auxiliar levantamento de solos.


Via Elpidio I F Filho
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Aptidão agrícola das terras em Cerro Grande do Sul/RS | HÖFIG | Boletim Gaúcho de Geografia

Aptidão agrícola das terras em Cerro Grande do Sul/RS
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Revista Brasileira de Ciência do Solo - Caracterização de mapas legados de solos: uso de indicadores em mapas com diferetens escalas no Rio Grande do Sul

Revista Brasileira de Ciência do Solo - Caracterização de mapas legados de solos: uso de indicadores em mapas com diferetens escalas no Rio Grande do Sul | Mapeamento Digital de Solos | Scoop.it
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Observatório Histórico Geográfico: Embrapa lança mapeamento digital dos solos brasileiros

Observatório Histórico Geográfico: Embrapa lança mapeamento digital dos solos brasileiros | Mapeamento Digital de Solos | Scoop.it
Embrapa lança mapeamento digital dos solos brasileiros
“No mapeamento digital de solos (MDS) usamos modelos... http://t.co/2hv9P3ChSB
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Dissertação Mestrado Pedro Höfig - UFRGS: MDS

Mapeamento digital de solos eo mapa de solos como ferramenta para classificação de aptidão de uso das terras... http://t.co/6Ap9xcaXBN
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Optimization of the sampling scheme for maps of physical and chemical properties estimated by kriging


Via Elpidio I F Filho
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Number of samples in geostatistical analysis and kriging maps of soil properties


Via Elpidio I F Filho
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Data mining to infer soil-landscape relationships in digital soil mapping


Via Elpidio I F Filho
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Comparison Between Detailed Digital and Conventional Soil Maps of an Area with Complex Geology


Via Elpidio I F Filho
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Simpósio 21: Desafios para o mapeamento digital de solos

XXXIV Congresso Brasileiro de Ciência do Solo (XXXIV CBCS) Florianópolis, SC, Brasil Simpósio 21: Desafios para o mapeamento digital de solos 1/8/2013 Palest...
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Revista Brasileira de Ciência do Solo - Likelihood in the selection of models for spatial prediction

Revista Brasileira de Ciência do Solo - Likelihood in the selection of models for spatial prediction | Mapeamento Digital de Solos | Scoop.it
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Revista Brasileira de Ciência do Solo - Digital soil mapping by artificial neural networks based on soil-landscape relationships

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Ciência Rural - Instance selection in digital soil mapping: a study case in Rio Grande do Sul, Brazil

Ciência Rural - Instance selection in digital soil mapping: a study case in Rio Grande do Sul, Brazil | Mapeamento Digital de Solos | Scoop.it
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Mapeamento digital de solos com base na extrapolação de mapas entre áreas fisiograficamente semelhantes | Höfig | Pesquisa Agropecuária Brasileira

Mapeamento digital de solos com base na extrapolação de mapas entre áreas fisiograficamente semelhantes
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Revista Brasileira de Ciência do Solo - Redes neurais artificiais aplicadas na predição de classes de solos em áreas de paisagens montanhosas da Serra do Mar

Revista Brasileira de Ciência do Solo - Redes neurais artificiais aplicadas na predição de classes de solos em áreas de paisagens montanhosas da Serra do Mar | Mapeamento Digital de Solos | Scoop.it
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Revista Brasileira de Ciência do Solo - Comparação do uso de modelos digitais de elevação em mapeamento digital de solos em Dois Irmãos, RS, Brasil

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Scientia Agricola - Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches

Scientia Agricola - Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches | Mapeamento Digital de Solos | Scoop.it
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Comparison Between Detailed Digital and Conventional Soil Maps of an Area with Complex Geology


Via Elpidio I F Filho
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A new approach to soil classification mapping based on the spatial distribution of soil properties

A new approach to soil classification mapping based on the spatial distribution of soil properties | Mapeamento Digital de Solos | Scoop.it

This study presents a new approach to classifying types of soil based on the probability classes of the relevant set of attributes. Two key ideas are addressed in this study: (i) the use of stochastic simulations to generate a local cumulative distribution function or extreme classes of each attribute and (ii) the use of a multidimensional scaling (MDS) technique to visualize and quantify the relative importance of each attribute in the classification process. After the simulated realizations, the weighted “distances” attributes extreme values (probability classes) of each grid node are calculated and the MDS algorithm is applied for the spatial representation of the grid nodes in a new Cartesian reference frame based on the “distances” of the probability classes of attributes. This allows the classification of soil types based on the clusters in the MDS space, after expert validation. In the second step, a sensitivity analysis of the attributes is performed with MDS: each attribute is made “neutral” one at a time, by assuming the median rather than the extreme values in each grid node before the distance evaluation, and the consequent impact on the shape and centroid displacement of the clusters (soil types) in the MDS reference frame is calculated. Hence, the spatial uncertainty of the soil type/classes and the influence of various properties are evaluated in the MDS reference frame. This method is applied to soils in a region of Brazilian in which the previous classification of soil types has been a crucial tool for precision agriculture management. Using the MDS algorithm, the selected attributes (horizon, textural gradient, colors, saturation, sand content, and clay content) were represented in a two-dimensional plot and grouped into eight clusters distinguished from each other by their characteristics. A sensitivity analysis shows that the horizon and saturation attributes had the greatest influence on determination of the clusters, i.e., the soil types.


Via Elpidio I F Filho
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S21b:Retrospectiva e desafios para o mapeam. digital de solos no Brasil/M. L. MENDONÇA SANTOS BREFIN

XXXIV Congresso Brasileiro de Ciência do Solo (XXXIV CBCS) Florianópolis, SC, Brasil Simpósio 21: Desafios para o mapeamento digital de solos 1/8/2013 Palest...
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Relationship between terrain attributes, parent material and soils in an area in the northwest of Rio de Janeiro state (Brazil)

The present study aimed to identify the relationships between land attributes, source material and soils in a Northwest Rio de Janeiro State area. Land attributes as: elevation, slope, aspect, plan curvature, solar radiation and compound topographic index (CTI), and the dominant lithology in the area had a strict influence on the soil distribution, which that ones derived from migmatites showing abrupt textural change, unlike soils originating from the granulites. Elevation and slope attributes helped out to explain the distribution of Leptosols and Cambisols in the area, while slope and CTI attributes explain the occurrence of Yelow and Red Yelow Acrisols and Gleysols on low relief. Distincts depths are constrained by the curvature of the terrain, with concave areas presenting shallower soils (saprolitic) than in convex areas. The Acrisols derived from granulites, which occur in hilly conditions, on slopes facing north and highest incidence of solar radiation, show red hue and are eutrophic, while the Acrisols on slopes facing south (< solar radiation) are yellowish-red, dystrophic and show ferralic horizon at depth.


Via Elpidio I F Filho
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Palestra 17a: Interfaces entre o mapeamento convencional e digital de solos

XXXIV Congresso Brasileiro de Ciência do Solo (XXXIV CBCS) Florianópolis, SC, Brasil Simpósio 17: Pedometria: Mitos e fatos 31/7/2013 Palestra 17a: Interface...
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Relationship between terrain attributes, parent material and soils in an area in the northwest of Rio de Janeiro state (Brazil)

The present study aimed to identify the relationships between land attributes, source material and soils in a Northwest Rio de Janeiro State area. Land attributes as: elevation, slope, aspect, plan curvature, solar radiation and compound topographic index (CTI), and the dominant lithology in the area had a strict influence on the soil distribution, which that ones derived from migmatites showing abrupt textural change, unlike soils originating from the granulites. Elevation and slope attributes helped out to explain the distribution of Leptosols and Cambisols in the area, while slope and CTI attributes explain the occurrence of Yelow and Red Yelow Acrisols and Gleysols on low relief. Distincts depths are constrained by the curvature of the terrain, with concave areas presenting shallower soils (saprolitic) than in convex areas. The Acrisols derived from granulites, which occur in hilly conditions, on slopes facing north and highest incidence of solar radiation, show red hue and are eutrophic, while the Acrisols on slopes facing south (< solar radiation) are yellowish-red, dystrophic and show ferralic horizon at depth.


Via Elpidio I F Filho
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Revista Brasileira de Ciência do Solo - Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping

Revista Brasileira de Ciência do Solo - Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping | Mapeamento Digital de Solos | Scoop.it
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Ciência Rural - Avaliação de cinco algoritmos de árvores de decisão e três tipos de modelos digitais de elevação para mapeamento digital de solos a nível semidetalhado na Bacia do Lageado Grande, R...

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