Next Article in Journal / Special Issue
The Size Distribution, Scaling Properties and Spatial Organization of Urban Clusters: A Global and Regional Percolation Perspective
Previous Article in Journal
Volunteered Geographic Information System Design: Project and Participation Guidelines
Previous Article in Special Issue
Simulation and Evaluation of Urban Growth for Germany Including Climate Change Mitigation and Adaptation Measures
Open AccessArticle

A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation

1
School of Engineering, University of Basilicata, 10 Viale dell’Ateneo Lucano, 85100 Potenza, Italy
2
Italian National Research Council, IMAA C.da Santa Loja, Tito Scalo, Potenza 85050, Italy
3
Department of Methods and Models for Economics, Territory and Finance, University of Rome “La Sapienza” Via Del Castro Laurenziano 9, Roma 00161, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Martin Behnisch, Gotthard Meinel and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(7), 109; https://doi.org/10.3390/ijgi5070109
Received: 12 April 2016 / Revised: 20 June 2016 / Accepted: 27 June 2016 / Published: 6 July 2016
The negative impacts of land take on natural components and economic resources affect planning choices and territorial policies. The importance of land take monitoring, in Italy, has been only recently considered, but despite this awareness, in the great part of the country, effective monitoring and containment measures have not been started, yet. This research proposes a methodology to map and monitor land use changes. To this end, a time series from 1985–2010, based on the multi-temporal Landsat data Thematic Mapper (TM), has been analyzed in the Vulture Alto-Bradano area, a mountain zone of the Basilicata region (Southern Italy). Results confirm a double potentiality of using these data: on the one hand, the use of multi-temporal Landsat data allows going very back in time, producing accurate datasets that provide a phenomenon trend over time; on the other hand, these data can be considered a first experience of open data in the field of spatial information. The proposed methodology provides agencies, local authorities and practitioners with a valuable tool to implement monitoring actions. This represents the first step to pursue territorial governance methods based on sustainability, limiting the land take. View Full-Text
Keywords: remote sensing; urban growth; urban sprawl; supervised classification remote sensing; urban growth; urban sprawl; supervised classification
Show Figures

Figure 1

MDPI and ACS Style

Di Palma, F.; Amato, F.; Nolè, G.; Martellozzo, F.; Murgante, B. A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation. ISPRS Int. J. Geo-Inf. 2016, 5, 109.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop