Publication | Closed Access

Using Canonical Correspondence Analysis (CCA) to identify the most important DEM attributes for digital soil mapping applications

CartographyImage AnalysisSurveyingMachine VisionGeomorphologyImportant DemEngineeringCivil EngineeringGeographyDigital PhotogrammetrySoil ClassificationRemote SensingLand Cover MapCanonical Correspondence AnalysisPrecision Soil MappingSocial SciencesComputer Vision