Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Comparison of Different Methods of Automated Landform Classification at the Drainage Basin Scale: Examples from the Southern Italy

Academic Article
Publication Date:
2020
abstract:
In this work, we tested the reliability of two different methods of automated landform classification (ACL) in three geological domains of the southern Italian chain with contrasting morphological features. ACL maps deriving from the TPI-based (topographic position index) algorithm are strictly dependent to the search input parameters and they are not able to fully capture landforms of different size. Geomorphons-based classification has shown a higher potential and can represent a powerful method of ACL, although it should be improved with the introduction of additional DEM-based parameters for the extraction of landform classes.
Iris type:
01.01 Articolo in rivista
Keywords:
Automatic landform classification; DEM analysis; Geomorphological mapping; Geomorphometry; Southern Italy
List of contributors:
Danese, Maria; Gioia, Dario
Authors of the University:
DANESE MARIA
GIOIA DARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/382264
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007/978-3-030-58802-1_50
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)