Intelligent estimation of spatially distributed soil physical properties

Geoderma

Volumn 170, Issue , 2012, Pages 1-10

  Iwashita, Fabio ^a,b   Friedel, Michael J ^a   Ribeiro, Glaucielen F ^b   Fraser, Stephen J ^c  

^a DENVER FEDERAL CENTER   (United States)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c CSIRO   (Australia)

Author keywords

Brazil; Hydraulic conductivity; Monte Carlo simulation; Po os de Caldas; Self organizing maps; Soil texture

Indexed keywords

BRAZIL; CROSS VALIDATION; ELEVATION DATA; HILLSLOPES; INTELLIGENT ESTIMATION; LIMITED SOILS; MONTE CARLO SIMULATION; NONLINEAR RELATIONS; POTENTIAL PROBLEMS; PREDICTION UNCERTAINTY; RANDOM LOCATION; SELF ORGANIZING; SOIL PHYSICAL PROPERTY; SOIL SAMPLE; SOIL TEXTURE; SOIL TEXTURES; SPATIAL ANALYSIS; TOPOGRAPHIC FEATURES;

CONFORMAL MAPPING; HYDRAULIC CONDUCTIVITY; PRINCIPAL COMPONENT ANALYSIS; SELF ORGANIZING MAPS; SILT; SPATIAL DISTRIBUTION; TEXTURES;

SOIL SURVEYS;

CLUSTER ANALYSIS; CURVATURE; HILLSLOPE; HYDRAULIC CONDUCTIVITY; MONTE CARLO ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SAMPLING; SELF ORGANIZATION; SHUTTLE RADAR TOPOGRAPHY MISSION; SILT; SOIL DEPTH; SOIL TEXTURE; SPATIAL DISTRIBUTION; STOCHASTICITY; TOPOGRAPHIC MAPPING;

BRAZIL; MINAS GERAIS; POCOS DE CALDAS;

EID: 84055200260     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.11.002     Document Type: Article

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