Geomorphometric landscape analysis using a semi-automated GIS-approach Export

@article{citeulike:2382348, abstract = {This paper presents LANDFORM, a customized GIS application for semi-automated classification of landform elements, based on topographic attributes like curvature or elevation percentile. These parameters are derived from a Digital Elevation Model (DEM) and used as thresholds for the classification of landform elements like crests, flats, depressions and slopes. With a new method, slopes were further subdivided into upper, mid and lower slopes at significant breakpoints along slope profiles. The paper discusses the results of a fuzzy set algorithm used to compare the similarity between the map generated by LANDFORM and the visual photo-interpretation conducted by a soil expert over the same area. The classification results can be used in applications related to precision agriculture, land degradation studies, and spatial modelling applications where landscape morphometry is identified as an influential factor in the processes under study.}, author = {Klingseisen, Bernhard and Metternicht, Graciela and Paulus, Gernot}, citeulike-article-id = {2382348}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1290535.1290564}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/j.envsoft.2007.05.007}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6VHC-4P5RM68-1/2/a5d99a865161014bdcb4d454e506d9f7}, doi = {10.1016/j.envsoft.2007.05.007}, journal = {Environmental Modelling \& Software}, keywords = {dem, drainage, fuzzy, geomorphometry, relief, spatial-analysis}, posted-at = {2009-01-03 20:08:00}, priority = {3}, title = {Geomorphometric landscape analysis using a semi-automated GIS-approach}, url = {http://dx.doi.org/10.1016/j.envsoft.2007.05.007}, volume = {In Press, Corrected Proof} }

TY - JOUR ID - citeulike:2382348 L3 - citeulike-article-id:2382348 N2 - This paper presents LANDFORM, a customized GIS application for semi-automated classification of landform elements, based on topographic attributes like curvature or elevation percentile. These parameters are derived from a Digital Elevation Model (DEM) and used as thresholds for the classification of landform elements like crests, flats, depressions and slopes. With a new method, slopes were further subdivided into upper, mid and lower slopes at significant breakpoints along slope profiles. The paper discusses the results of a fuzzy set algorithm used to compare the similarity between the map generated by LANDFORM and the visual photo-interpretation conducted by a soil expert over the same area. The classification results can be used in applications related to precision agriculture, land degradation studies, and spatial modelling applications where landscape morphometry is identified as an influential factor in the processes under study. JF - Environmental Modelling & Software TI - Geomorphometric landscape analysis using a semi-automated GIS-approach VL - In Press, Corrected Proof KW - dem KW - drainage KW - fuzzy KW - geomorphometry KW - relief KW - spatial-analysis AU - Klingseisen, Bernhard AU - Metternicht, Graciela AU - Paulus, Gernot UR - http://dx.doi.org/10.1016/j.envsoft.2007.05.007 ER -