Using geomorphological rules to classify photogrammetrically-derived digital elevation models

• Published in: International journal of remote sensing 2003-07, Vol.24 (13), p.2613-2626
• Main Authors: Moore, A. B., Morris, K. P., Blackwell, G. K., Jones, A. R., Sims, P. C.
• Format: Article
• Language: English
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/0143116031000066891

An object-orientated expert system is used to identify beach and cliff landforms from Digital Elevation Models (DEMs) on the basis of topological and morphometric rules. The ord landform of the Holderness coast, north-east England, is interpreted as an indicator of enhanced cliff erosion and consists of various beach, till shore platform and associated steep/stable cliff constituents. Each of these are characterised by expert rules through their topological relationship with other constituents and typical values of height, slope, aspect and convexity. Two DEMs (1996 and 1997) are derived from the application of digital photogrammetry to stereo aerial photography provided from the LOIS (Land-Ocean Interaction Study) project. A rule-based classification of landforms is performed using COAMES (COAstal Management Expert System), producing results that conform to historical ground estimations and which identify zones of intense erosion and their commensurate movement with the ord landform over time. The result is achieved through the intelligent storage and operation of classification techniques, which should facilitate non-specialist usage.