Predicting regolith properties using environmental correlation: A comparison of spatially global and spatially local approaches

Geoderma

Volumn 120, Issue 3-4, 2004, Pages 241-258

  Laffan, Shawn W ^a   Lees, Brian G ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Artificial neural network; Moving window regression; Regolith mapping; Soil landscape mapping

Indexed keywords

GEOLOGIC MODELS; GEOMORPHOLOGY; NEURAL NETWORKS; OXIDES; SOILS;

ENVIRONMENTAL CORRELATION; LANDSAT DATA; LOCAL ANALYSIS METHODS; REGOLITH PROPERTIES;

ENVIRONMENTAL ENGINEERING;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; LANDSAT; MAPPING METHOD; REGOLITH; REMOTE SENSING; SPATIAL DISTRIBUTION;

AUSTRALASIA; AUSTRALIA; QUEENSLAND;

EID: 2342586768     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2003.09.007     Document Type: Article

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