An approach to DEM analysis for landform classification based on local gradients
| Autor: | Sergio Camiz, Maurizio Poscolieri |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Pixel business.industry Computer science Landform Pattern recognition Terrain 010502 geochemistry & geophysics 01 natural sciences Thematic map Homogeneous General Earth and Planetary Sciences Partition (number theory) Artificial intelligence Digital elevation model business 0105 earth and related environmental sciences Hue |
| Zdroj: | Earth Science Informatics. 11:287-305 |
| ISSN: | 1865-0481 1865-0473 |
| Popis: | In this paper we propose an exploratory methodology, devoted to classify the pixels of a Digital Elevation Model (DEM), to be used as a morphometric basis for studies in other frameworks. The aim is to classify the terrain units according to eight topographical local gradients, computed as differences between each pixel and the eight surrounding ones. A partition of the pixels into homogeneous classes is carried out, emphasizing different details of the terrain units characteristics. Each class is described by a complete set of statistics of terrain attributes, including elevation, slope, and aspect, and graphical tools are used to ease the understanding of the partition. In addition, appropriate colours are attributed to each class, in order to build a thematic map that may simulate a three-dimensional effect. They are defined by computing their hue and saturation according to each class mean slope and aspect, respectively. Applications to Mount Soratte (Italy) and Cephalonia island (Greece) show how the results may be successfully used to describe in different ways the morphometric structure of the terrain under study and provide appropriate graphical representations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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