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Canadian Journal of Remote Sensing
Article . 2009 . Peer-reviewed
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Terrain modelling of the complex volcanic terrain of Ischia Island, Italy

Authors: Miliaresis, G.; Ventura, G.; Vilardo, G.;

Terrain modelling of the complex volcanic terrain of Ischia Island, Italy

Abstract

A high-resolution digital elevation model (DEM) (2 m spacing) is used in an attempt to model the volcanic terrain of Ischia Island (~150 ka ≥ age ≥ AD 1302). Ischia Island consists of a high-relief, resurgent central-western sector, a western sector affected by landslides related to the resurgence, and an eastern, lowland sector in which a volcanic field was emplaced. The interpretation of elevation, slope, and aspect derived from a DEM revealed two volcanic cones near the northeast coastline and a huge semicircular ridge in the central portion of the island, corresponding to the Mount Epomeo resurgent block. The Mount Epomeo area shows an extensive drainage network developed on the southern flank, which represents the scar of a huge, prehistoric debris avalanche. The elevation and slope statistics and hypsometric curve allowed terrain classification according to well-known standards (present mean earth elevation, hypsometric integral ranking). Peaks and critical points were discovered in elevation and sl...

Keywords

automated classification, Volcanic terrain

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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