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Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2015

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Assessment of land cover changes in Lampedusa Island (Italy) using Landsat TM and OLI data

Anno di pubblicazione: 2015

Formato: Elettronico

Autori: Mei A.; Manzo C.; Fontinovo G.; Bassani C.; Allegrini A.; Petracchini F.

Affiliazioni autori: Institute of Atmospheric Pollution Research, National Research Council (CNR), via Salaria km 29.300, 00016 Monterotondo, Rome, Italy

Autori CNR:


Lingua: inglese

Abstract: The Lampedusa Island displays important socio-economic criticalities related to an intensive touristic activity, which implies an increase in electricity consumption and waste production. An adequate island conversion to a more environmental, sustainable community needs to be faced by the local Management Plans establishment. For this purpose, several thematic datasets have to be produced and evaluated. Socio-economic and bio-ecological components as well as land cover/use assessment are some of the main topics to be managed within the Decision Support Systems.Considering the lack of Land Cover (LC) and vegetation change detection maps in Lampedusa Island (Italy), this paper focuses on the retrieval of these topics by remote sensing techniques. The analysis was carried out by Landsat 5 TM and Landsat 8 OLI multispectral images from 1984 to 2014 in order to obtain spatial and temporal information of changes occurred in the island. Firstly, imagery was co-registered and atmospherically corrected; secondly, it was then classified for land cover and vegetation distribution analysis with the use of QGIS and Saga GIS open source softwares. The Maximum Likelihood Classifier (MLC) was used for LC maps production, while the Normalized Difference Vegetation Index (NDVI) was used for vegetation examination and distribution. Topographic maps, historical aerial photos, ortophotos and field data are merged in the GIS for accuracy assessment. Finally, change detection of MLC and NDVI are provided respectively by Post-Classification Comparison (PCC) and Image Differencing (ID). The provided information, combined with local socio-economic parameters, is essential for the improvement of environmental sustainability of anthropogenic activities in Lampedusa.

Lingua abstract: inglese


Journal of African earth sciences Pergamon.
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1464-343X

DOI: 10.1016/j.jafrearsci.2015.05.014

Referee: Sė: Internazionale

Stato della pubblicazione: Postprint

Indicizzato da: Scopus [2-s2.0-84930804209]

Parole chiave:

  • Change detection
  • Lampedusa
  • Land cover
  • Landsat 8
  • NDVI
  • QGIS

URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84930804209&partnerID=q2rCbXpz

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