http://www.cnr.it/ontology/cnr/individuo/prodotto/ID186769
Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin (Articolo in rivista)
- Type
- Label
- Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.geomorph.2012.03.031 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Trevisani S.; Cavalli M.; Marchi L. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Sebastiano Trevisani: University IUAV of Venice, Venezia, Italy;
Cavalli Marco: CNR-IRPI, National Research Council, Research Institute for Hydrogeological Protection, Padova, Italy;
Marchi Lorenzo: CNR-IRPI, National Research Council, Research Institute for Hydrogeological Protection, Padova, Italy (literal)
- Titolo
- Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin (literal)
- Abstract
- This study focuses on a geomorphometric analysis of a small headwater basin of the Dolomites (Eastern
Italian Alps). The analysis of the fine-scale surface morphology was performed on a high-resolution digital
elevation model (cell size 2 m) derived from an airborne LiDAR survey. The topography was synthesized by a
set of spatial-statistical indexes representing a signature of the local surface morphology, and the
relationships between the geomorphometric indexes and morphological features were evaluated. The
studied basin was then segmented by means of a fuzzy k-means classification algorithm into different spatial
subdomains characterized by specific local geomorphic signatures. This method allows us to objectively
choose the optimal combination of the number of classes and degree of fuzziness characterizing the studied
basin. Accordingly, the analysis can be adopted to the characteristics of the studied area, improving the
interpretation of surface morphology and offering a valuable tool for comparative analysis between different
geomorphological contexts. The results of the classification were compared with the actual surface
morphology based on high-resolution orthophotos, aerial photos, and field surveys. (literal)
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- Autore CNR
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