Title :
Modelling soil erosion hazard by using a fuzzy knowledge-based approach
Author :
Metternicht, G.I.
Author_Institution :
Sch. of Surveying & Land Inf., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
Land degradation as the result of water erosion represents a serious environmental threat. The erosion processes are complex and depend on many factors, determined in turn by a set of characteristics. Fuzzy knowledge-based exploratory models are designed to investigate the susceptibility to erosion by incorporating expert knowledge, in the sense that information on soil properties and/or landscape elements assumed to control accelerated soil erosion are incorporated into the modelling process. Fuzzy boundaries are applied to rank the landscape factors used in modelling the likelihood of an area to be affected by different erosion degrees. Although the model provides qualitative estimations, it is very useful for exploring indicator-cause-process relationships. In addition, it allows the importance of individual landscape elements related to soil erosion to be tested
Keywords :
environmental science computing; erosion; fuzzy logic; geology; geomorphology; geophysics computing; knowledge engineering; soil; environmental science; expert knowledge; exploratory model; fuzzy knowledge-based approach; geomorphology; geophysics computing; image processing; land degradation; land surface; landscape; remote sensing; soil erosion hazard; water erosion; Acceleration; Australia; Calibration; Degradation; Fuzzy control; Fuzzy sets; Hazards; Predictive models; Soil; Tellurium;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615220