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
  • Trevisani S.; Cavalli M.; Marchi L. (2012)
    Surface texture analysis of a high-resolution DTM: Interpreting an alpine basin
    in Geomorphology (Amst.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Trevisani S.; Cavalli M.; Marchi L. (literal)
Pagina inizio
  • 26 (literal)
Pagina fine
  • 39 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 161-162 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 14 (literal)
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)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it