Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics

Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics, are fundamental to analyse and characterise Land Cover (LC) and its changes. The case study here described, has been conducted in the area of Avellino (Southern Italy). To characterise the dynamics of changes dur...

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Bibliographic Details
Main Authors: Carmelo Riccardo Fichera, Giuseppe Modica, Maurizio Pollino
Format: Article
Language:English
Published: Taylor & Francis Group 2012-03-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.5721/EuJRS20124501