Soil prediction using artificial neural networks and topographic attributes

Geoderma

Volumn 195-196, Issue , 2013, Pages 165-172

  Silveira, Claudinei Taborda ^a   Oka Fiori, Chisato ^a   Santos, Leonardo José Cordeiro ^a   Sirtoli, Angelo Evaristo ^a   Silva, Claudionor Ribeiro ^b   Botelho, Mosar Faria ^c  

^a FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^b FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

^c UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

DTM; Pedological cartography; Pedometry; Relief

Indexed keywords

DIGITAL TERRAIN MODEL; DIGITAL TOPOGRAPHY; DTM; ERROR BACKPROPAGATION ALGORITHMS; GEOPROCESSING TECHNIQUES; GROUND MAP; INPUT PARAMETER; MULTI-LAYERED; PEDOMETRY; PERCEPTRON; RELIEF; SPATIAL LEVELS; STREAM POWER INDEX; STUDY AREAS; TOPOGRAPHIC WETNESS INDEX;

MAPPING; MAPS; NEURAL NETWORKS; SEDIMENT TRANSPORT;

SOILS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CARTOGRAPHY; COMPARATIVE STUDY; DIGITAL TERRAIN MODEL; PEDOLOGY; SEDIMENT TRANSPORT; SOIL QUALITY; TOPOGRAPHY;

EID: 84872012008     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2012.11.016     Document Type: Article

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