Semi-automated method for the mapping of alluvial fans from DEM
| Autor: | Gianluca Norini, Mostafa Karimi, Abolghasem Goorabi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Largest alluvial fans Alluvial fan 010502 geochemistry & geophysics 01 natural sciences Arid Digital elevation models (DEMs) Lannemezan Xinhe and Naien alluvial fans Quaternary landforms Satellite data General Earth and Planetary Sciences Drainage Digital elevation model Geomorphology Symmetry Model DEM (SMDEM) Geology Digital alluvial fan map 0105 earth and related environmental sciences Automated method |
| Zdroj: | Earth science informatics 14 (2021): 1447–1466. doi:10.1007/s12145-021-00616-3 info:cnr-pdr/source/autori:Goorabi, Abolghasem; Karimi, Mostafa; Norini, Gianluca/titolo:Semi-automated method for the mapping of alluvial fans from DEM/doi:10.1007%2Fs12145-021-00616-3/rivista:Earth science informatics (Print)/anno:2021/pagina_da:1447/pagina_a:1466/intervallo_pagine:1447–1466/volume:14 |
| DOI: | 10.1007/s12145-021-00616-3 |
| Popis: | Alluvial fans are among the principal geomorphological features that have an influence on the development of human societies, particularly in arid regions. In view of the salience of these triangular-shaped deposits to environmental management, an accurate mapping of alluvial fans within a specific region could prove significantly advantageous. This study proposes a method for semi-automated detection of alluvial fans based on the analysis of Digital Elevation Models (DEMs). The proposed method is a novel Symmetry Model DEM (SMDEM), which extracts alluvial fans the pseudo-basin concept. This method is capable of accurate detection of alluvial fans and all their segmentations (i.e. lobes), apex, and toe when they are delimited by boundary drainage (lateral and toe drainage channels). The method was tested analyzing different environmental scenarios and was evaluated by comparing the output of the model with satellite data. The alluvial fans analyzed with the SMDEM model are the Lannemezan (12,303 km2), Xinhe (5572 km2), and Naien (1668 km2) fans, which are among the largest in Europe, China, and Iran, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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