A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic

• Published in: Fuzzy sets and systems 2000-07, Vol.113 (1), p.81-109
• Main Authors: MacMillan, R.A., Pettapiece, W.W., Nolan, S.C., Goddard, T.W.
• Format: Article
• Language: English
• Subjects: Automated landform classification; Digital elevation models; Expert heuristics; Fuzzy logic; Linguistic modelling; Precision farming; Soil-landscape models
• ISSN: 0165-0114; 1872-6801
• DOI: 10.1016/S0165-0114(99)00014-7

A robust new approach for describing and segmenting landforms which is directly applicable to precision farming has been developed in Alberta. The model uses derivatives computed from DEMs and a fuzzy rule base to identify up to 15 morphologically defined landform facets. The procedure adds several measures of relative landform position to the previous classification of Pennock et al. (Geoderma 40 (1987) 297–315; 64 (1994) 1–19). The original 15 facets can be grouped to reflect differences in complexity of the area or scale of application. Research testing suggests that a consolidation from 15 to 3 or 4 units provides practical, relevant separations at a farm field scale. These units are related to movement and accumulation of water in the landscape and are significantly different in terms of soil characteristics and crop yields. The units provide a base for benchmark soil testing, for applying biological models and for developing agronomic prescriptions and management options.