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

Carmelo Riccardo Fichera, Giuseppe Modica, Maurizio Pollino

Research output: Contribution to journalArticle

100 Citations (Scopus)

Abstract

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 during a fifty year period (1954÷2004), a multi-temporal set of images has been processed: aerial photos (1954), and Landsat scenes (MSS 1975, TM 1985 and 1993, ETM+ 2004). LC pattern and its changes are linked to both natural and social processes whose driving role has been clearly demonstrated in the case study: after the disastrous Irpinia earthquake (1980), specific zoning laws and urban plans have significantly addressed landscape changes.
Original languageEnglish
Pages (from-to)1 - 18
Number of pages18
JournalEuropean Journal of Remote Sensing
Volume45
Issue number1
DOIs
Publication statusPublished - 2012

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All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Computers in Earth Sciences
  • Atmospheric Science
  • Applied Mathematics

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