POLARIS: A 30-meter probabilistic soil series map of the contiguous United States

Geoderma

Volumn 274, Issue , 2016, Pages 54-67

  Chaney, Nathaniel W ^a   Wood, Eric F ^b   McBratney, Alexander B ^c   Hempel, Jonathan W ^d   Nauman, Travis W ^e   Brungard, Colby W ^f   Odgers, Nathan P ^c  

^a PRINCETON UNIVERSITY   (United States)

^b Princeton University   (United States)

^c UNIVERSITY OF SYDNEY   (Australia)

^d USDA NRCS   (United States)

^e U S GEOLOGICAL SURVEY   (United States)

^f UTAH STATE UNIVERSITY   (United States)

Author keywords

Digital soil mapping; Environmental modeling; High performance computing

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; FORECASTING; GEOGRAPHICAL DISTRIBUTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; SOIL SURVEYS; STARS;

DIGITAL SOIL MAPPINGS; ENVIRONMENTAL MODEL; HIGH PERFORMANCE COMPUTING; HIGH-PERFORMANCE COMPUTING RESOURCES; NATIONAL SOIL INFORMATION SYSTEMS; PREDICTION UNCERTAINTY; QUANTITATIVE PREDICTION; SPATIAL DISAGGREGATION;

SOILS;

ALGORITHM; DATABASE; ELEVATION; ENVIRONMENTAL MODELING; GEOGRAPHICAL DISTRIBUTION; MACHINE LEARNING; POTASSIUM; PROBABILITY; SOIL SURVEY; SPATIAL RESOLUTION; THORIUM; URANIUM;

UNITED STATES;

EID: 84962834139     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2016.03.025     Document Type: Article

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