Artificial neural network for acid sulfate soil mapping: Application to the Sirppujoki River catchment area, south-western Finland

Journal of Geochemical Exploration

Volumn 125, Issue , 2013, Pages 46-55

  Beucher, Amélie ^a   Österholm, Peter ^a   Martinkauppi, Annu ^b   Edén, Peter ^b   Fröjdö, Sören ^a  

^a ÅBO AKADEMI UNIVERSITY   (Finland)

^b GEOLOGICAL SURVEY OF FINLAND   (Finland)

Author keywords

Acid sulfate soils; Artificial neural network; Probability map; Radial basis functional link net

Indexed keywords

ACID SULFATE SOILS; ACID SULFATES; AS-SOILS; CLASSIFICATION ABILITY; COASTAL WATERS; ECOLOGICAL DAMAGE; ELEVATION DATA; ENVIRONMENTAL ISSUES; ENVIRONMENTAL RISKS; EXPERT ASSESSMENT; FINLAND; FUNCTIONAL-LINK NET; HIGH PROBABILITY; HOT SPOT AREA; LOW PROBABILITY; PROBABILITY MAPS; RADIAL BASIS FUNCTIONAL LINK NETS; RIVER CATCHMENT; SOIL SITES; SPATIAL MODELLING; STUDY AREAS;

CATCHMENTS; LEACHING; MAPPING; NEURAL NETWORKS; PROBABILITY; RUNOFF; SULFUR COMPOUNDS;

SOILS;

ACID SULFATE SOIL; ARTIFICIAL NEURAL NETWORK; CATCHMENT; MAPPING METHOD; PROBABILITY;

FINLAND;

EID: 84872386730     PISSN: 03756742     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gexplo.2012.11.002     Document Type: Article

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