Iwashashi and Pike Classification

Based on three variables:

• Slope gradient:
• Surface texture:
• Local convexity:

ConvexityMeanCut := DEMGLB[ConvexGrid].FindPercentileElevation(MDDef.ConvexCut);
TextureMeanCut := DEMGLB[RoughGrid].FindPercentileElevation(MDDef.RoughnessCut);
SlopeMeanCut := DEMGLB[SlopeGrid].FindPercentileElevation(MDDef.SlopeCut1);
SlopeQuarterCut := DEMGLB[SlopeGrid].FindPercentileElevation(MDDef.SlopeCut2);
SlopeEigthCut := DEMGLB[SlopeGrid].FindPercentileElevation(MDDef.SlopeCut3);

Reference:

• Iwahashi and Pike, 2007 Automated classifications of topography from DEMs by an unsupervised nested means algorithm and a three-part geometric signature, Geomorphology, vol 86, no.3/4,  p.409-440. doi:10.1016/j.geomorph.2006.09.012

Implementation in MICRODEM

Other landform/landcover data sets at 300-1000 m resolution

Last revised  8/17/2017