2008
DOI: 10.3923/jas.2008.910.921
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GIS-Based Automated Landform Classification and Topographic, Landcover and Geologic Attributes of Landforms Around the Yazoren Polje, Turkey

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Cited by 172 publications
(107 citation statements)
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“…ones) provide more detailed information about the general shape of the landscape rather than the TPI values from just a single neighborhood. Therefore, the combination of TPI grids generated at different scales results in the identification of complex landforms [13]. Since elevation tends to be spatially auto correlated, the range of TPI values increases with scale.…”
Section: Landform Classification and Interpretationmentioning
confidence: 99%
See 1 more Smart Citation
“…ones) provide more detailed information about the general shape of the landscape rather than the TPI values from just a single neighborhood. Therefore, the combination of TPI grids generated at different scales results in the identification of complex landforms [13]. Since elevation tends to be spatially auto correlated, the range of TPI values increases with scale.…”
Section: Landform Classification and Interpretationmentioning
confidence: 99%
“…Over the last decade, Digital Elevation Models have been widely used to automatically classify landforms [3], [4], [5], [9], [11], [13]. Either by computing differential geometry algorithms or by defining spatial patterns, both approaches focus on the following: to reduce time consumption and generalize local findings.…”
Section: Introductionmentioning
confidence: 99%
“…Such a feature may be reasonably classified as an upland drainage. Conversely, a point with a positive small-neighborhood TPI value and a negative large-neighborhood TPI value likely represents a small hill or ridge in a larger valley [13] (Table 1 and …”
Section: Landform Classificationmentioning
confidence: 99%
“…The process of formulae (1) calculate the difference between elevation at a specific cell and the average elevation of the neighborhood surrounding cells (Tagil & Jenness, 2008); describing higher and lower areas for the classification of the terrain into different morphological forms (Jenness, 2005).…”
Section: Topographic Position Index (Tpi) the Analysis Was Performedmentioning
confidence: 99%