Automatic recognition of rocky outcrops from MIVIS data: a test case on a selected area of the Pollino National Park (southern Italy)

Valerio Tramutoli; Carolina Filizzola; Nicola Pergola; Stefano Pignatti; Marcello Schiattarella

doi:10.1117/12.453673

23 January 2002 Automatic recognition of rocky outcrops from MIVIS data: a test case on a selected area of the Pollino National Park (southern Italy)

Valerio Tramutoli, Carolina Filizzola, Nicola Pergola, Stefano Pignatti, Marcello Schiattarella

Author Affiliations +

Proceedings Volume 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology; (2002) https://doi.org/10.1117/12.453673
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

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.

Citation Download Citation

Valerio Tramutoli, Carolina Filizzola, Nicola Pergola, Stefano Pignatti, and Marcello Schiattarella "Automatic recognition of rocky outcrops from MIVIS data: a test case on a selected area of the Pollino National Park (southern Italy)", Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); https://doi.org/10.1117/12.453673

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available