Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 47-50 |
Seitenumfang | 4 |
Fachzeitschrift | Rendiconti Online Societa Geologica Italiana |
Jahrgang | 39 |
Publikationsstatus | Veröffentlicht - März 2016 |
Abstract
In this work a comparison among slope deposits (SD) maps obtained by integrating field measurements of SD depth and cluster analysis of morphometric data has been performed. Three SD depth maps have been obtained for the same area (SA1) by using different approaches. Two maps have been achieved by implementing both the supervised and unsupervised approaches and exploiting the dataset of SD depths previously collected in a region (SA2) characterized by the same bedrock lithology, although located 35 km far from the SA1. The results have been validated against a reference map based on SD depth measurements acquired during this work within the SA1 and mapped by unsupervised clustering. The outcome of the study shows the feasibility of the methodology proposed to obtain depth maps of SD. Nevertheless the very low map accuracy suggests that relationships among main morphometric variables and slope deposits depth are not constant at regional scale, although considering areas characterized by the same bedrock lithology. Hence, maps of SD depth should be based on depth data specifically acquired within the area under study. In order to improve the exploitation of SD depth datasets outside their provenance area, further research are necessary on clustering algorithms performance as well as additional morphometric and environmental variables to be employed in spatial analysis.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Geologie
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in: Rendiconti Online Societa Geologica Italiana, Jahrgang 39, 03.2016, S. 47-50.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Mapping Slope Deposits Depth by Means of Cluster Analysis: A Comparative Assessment
AU - Venturini, Tiziano
AU - Trefolini, Emanuele
AU - Patelli, Edoardo
AU - Broggi, Matteo
AU - Tuliani, Giacomo
AU - Disperati, Leonardo
N1 - Publisher Copyright: © Società Geologica Italiana, Roma 2016.
PY - 2016/3
Y1 - 2016/3
N2 - In this work a comparison among slope deposits (SD) maps obtained by integrating field measurements of SD depth and cluster analysis of morphometric data has been performed. Three SD depth maps have been obtained for the same area (SA1) by using different approaches. Two maps have been achieved by implementing both the supervised and unsupervised approaches and exploiting the dataset of SD depths previously collected in a region (SA2) characterized by the same bedrock lithology, although located 35 km far from the SA1. The results have been validated against a reference map based on SD depth measurements acquired during this work within the SA1 and mapped by unsupervised clustering. The outcome of the study shows the feasibility of the methodology proposed to obtain depth maps of SD. Nevertheless the very low map accuracy suggests that relationships among main morphometric variables and slope deposits depth are not constant at regional scale, although considering areas characterized by the same bedrock lithology. Hence, maps of SD depth should be based on depth data specifically acquired within the area under study. In order to improve the exploitation of SD depth datasets outside their provenance area, further research are necessary on clustering algorithms performance as well as additional morphometric and environmental variables to be employed in spatial analysis.
AB - In this work a comparison among slope deposits (SD) maps obtained by integrating field measurements of SD depth and cluster analysis of morphometric data has been performed. Three SD depth maps have been obtained for the same area (SA1) by using different approaches. Two maps have been achieved by implementing both the supervised and unsupervised approaches and exploiting the dataset of SD depths previously collected in a region (SA2) characterized by the same bedrock lithology, although located 35 km far from the SA1. The results have been validated against a reference map based on SD depth measurements acquired during this work within the SA1 and mapped by unsupervised clustering. The outcome of the study shows the feasibility of the methodology proposed to obtain depth maps of SD. Nevertheless the very low map accuracy suggests that relationships among main morphometric variables and slope deposits depth are not constant at regional scale, although considering areas characterized by the same bedrock lithology. Hence, maps of SD depth should be based on depth data specifically acquired within the area under study. In order to improve the exploitation of SD depth datasets outside their provenance area, further research are necessary on clustering algorithms performance as well as additional morphometric and environmental variables to be employed in spatial analysis.
KW - Cluster analysis
KW - Depth of slope deposits
KW - Environmental variables
KW - Morphometric analysis
KW - Slope deposits
UR - http://www.scopus.com/inward/record.url?scp=84963627045&partnerID=8YFLogxK
U2 - 10.3301/rol.2016.44
DO - 10.3301/rol.2016.44
M3 - Article
VL - 39
SP - 47
EP - 50
JO - Rendiconti Online Societa Geologica Italiana
JF - Rendiconti Online Societa Geologica Italiana
SN - 2035-8008
ER -