Multi-variate Bayesian classification of soil drainage using feature-level fusion of topographic and hydrologie data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 2522-2525

  Krekeler, C ^a   Slatton, K C ^a   Cohen, M ^b  

^a University of Florida

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Feature selection, Bayesian classification; Hydrology; Information theory; Lidar

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; DATA FUSION; FEATURE EXTRACTION; HYDRAULIC CONDUCTIVITY; HYDROLOGY; INFORMATION THEORY; OPTICAL RADAR; SOIL SURVEYS; SURFACE MORPHOLOGY; TOPOGRAPHY;

INFILTRATION RATES; SOIL DRAINAGE; SOIL PROPERTIES;

CLASSIFICATION (OF INFORMATION);

EID: 34948886600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.652     Document Type: Conference Paper

References (4)

1. McBratney, A.B., M.L. Mendonça Santos, B. Minasny. 2003. On digital soil mapping. Geoderma 117, 3-52.
2. Lin, H., D. Wheeler, J. Bell and L. Wilding. 2005. Assessment of soil spatial variability at multiple scales. Ecological Modelling 3-4:271-290.
3. Pachepsky, Y., D.E. Radcliffe, H.M.Selim, editors. 2003. Scaling Methods in Soil Physics. CRC Press LLC, pg 207-212, 216.
4. nd ed., John Wiley & Sons, Inc., 2001.