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Proceedings Paper

Automatic recognition of rocky outcrops from MIVIS data: a test case on a selected area of the Pollino National Park (southern Italy)
Author(s): Valerio Tramutoli; Carolina Filizzola; Nicola Pergola; Stefano Pignatti; Marcello Schiattarella
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Paper Abstract

In this work, a simple and robust technique, that allows for automatic identifying of surface materials by using Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) radiances was applied in order to recognize rocky outcrops in the area of the Pollino National Park (southern Apennines, Italy). Tests were made over an area which is topographically complex and geologically characterized by ophiolite-bearing units (Ligurian units), Meso-Cenozoic shallow-water carbonates (Pollino Unit) and Plio-Quaternary sediments. Among ophiolitic rocks, serpentinite was chosen as a test-rock as it is present in isolated outcrops in the test-area, besides subtending important environmental problems because it contains asbestos. Geological information, coming from field observations or geological maps, was used as input and in order to verify the results of the MIVIS data processing.

Paper Details

Date Published: 23 January 2002
PDF: 11 pages
Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); doi: 10.1117/12.453673
Show Author Affiliations
Valerio Tramutoli, Univ. degli Studi della Basilicata and CNR-IMAAA (Italy)
Carolina Filizzola, Univ. degli Studi della Basilicata and CNR-IMAAA (Italy)
Nicola Pergola, CNR-IMAAA (Italy)
Stefano Pignatti, CNR-IMAAA (Italy)
Marcello Schiattarella, Univ. degli Studi della Basilicata (Italy)


Published in SPIE Proceedings Vol. 4545:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
Manfred Ehlers, Editor(s)

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