We compare different implementations of metrics-based landscape similarity search.
Numerical experiments on land cover data compare different similarity measures.
Robust similarity measure requires proper normalization and weighting of metrics.
Similarity based on co-occurrence features outperforms metrics-based similarity.
Landscape regionalization is sensitive to small differences in similarity measure.