Land consumption in Italy

This paper illustrates a land consumption map for Italy (year 2017) at a scale 1:1,300,000, and the assessment of its changes (2012–2017). We define land consumption as the replacement of a non-artificial land cover to an artificial land cover, both permanent and no-permanent. The maps are a 10 m sp...

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Main Authors: Andrea Strollo, Daniela Smiraglia, Roberta Bruno, Francesca Assennato, Luca Congedo, Paolo De Fioravante, Chiara Giuliani, Ines Marinosci, Nicola Riitano, Michele Munafò
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Maps
Subjects:
Online Access:http://dx.doi.org/10.1080/17445647.2020.1758808
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spelling doaj-6a6bf79528644d84978971cd03633c472021-07-06T12:16:07ZengTaylor & Francis GroupJournal of Maps1744-56472020-01-0116111312310.1080/17445647.2020.17588081758808Land consumption in ItalyAndrea Strollo0Daniela Smiraglia1Roberta Bruno2Francesca Assennato3Luca Congedo4Paolo De Fioravante5Chiara Giuliani6Ines Marinosci7Nicola Riitano8Michele Munafò9Italian Institute for Environmental Protection and Research (ISPRA)Italian Institute for Environmental Protection and Research (ISPRA)Center for Astronomical and Remote-sensing Observations (ICARO), University of PaviaItalian Institute for Environmental Protection and Research (ISPRA)Italian Institute for Environmental Protection and Research (ISPRA)Department of Innovation in Biology, Agri-food and Forest systems (DIBAF), University of TusciaItalian Institute for Environmental Protection and Research (ISPRA)Italian Institute for Environmental Protection and Research (ISPRA)Italian Institute for Environmental Protection and Research (ISPRA)Italian Institute for Environmental Protection and Research (ISPRA)This paper illustrates a land consumption map for Italy (year 2017) at a scale 1:1,300,000, and the assessment of its changes (2012–2017). We define land consumption as the replacement of a non-artificial land cover to an artificial land cover, both permanent and no-permanent. The maps are a 10 m spatial resolution raster, produced by photointerpretation of very high resolution images and semiautomatic classification of high resolution remote sensing images. An overall accuracy of 97.7% for the map of 2012 and of 99.66% for the map of 2017 was obtained. The results suggest that the method proposed is appropriate to detect land consumption, both for the urban densification and for the sprawling phenomena, from national to local level. Furthermore, because of the high spatial resolution and the classification scheme adopted, it is suitable for an effective monitoring system, compared to other existing classification systems or monitoring programs.http://dx.doi.org/10.1080/17445647.2020.1758808copernicusland coversentinelmap updatingurban growthphotointerpretation
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Strollo
Daniela Smiraglia
Roberta Bruno
Francesca Assennato
Luca Congedo
Paolo De Fioravante
Chiara Giuliani
Ines Marinosci
Nicola Riitano
Michele Munafò
spellingShingle Andrea Strollo
Daniela Smiraglia
Roberta Bruno
Francesca Assennato
Luca Congedo
Paolo De Fioravante
Chiara Giuliani
Ines Marinosci
Nicola Riitano
Michele Munafò
Land consumption in Italy
Journal of Maps
copernicus
land cover
sentinel
map updating
urban growth
photointerpretation
author_facet Andrea Strollo
Daniela Smiraglia
Roberta Bruno
Francesca Assennato
Luca Congedo
Paolo De Fioravante
Chiara Giuliani
Ines Marinosci
Nicola Riitano
Michele Munafò
author_sort Andrea Strollo
title Land consumption in Italy
title_short Land consumption in Italy
title_full Land consumption in Italy
title_fullStr Land consumption in Italy
title_full_unstemmed Land consumption in Italy
title_sort land consumption in italy
publisher Taylor & Francis Group
series Journal of Maps
issn 1744-5647
publishDate 2020-01-01
description This paper illustrates a land consumption map for Italy (year 2017) at a scale 1:1,300,000, and the assessment of its changes (2012–2017). We define land consumption as the replacement of a non-artificial land cover to an artificial land cover, both permanent and no-permanent. The maps are a 10 m spatial resolution raster, produced by photointerpretation of very high resolution images and semiautomatic classification of high resolution remote sensing images. An overall accuracy of 97.7% for the map of 2012 and of 99.66% for the map of 2017 was obtained. The results suggest that the method proposed is appropriate to detect land consumption, both for the urban densification and for the sprawling phenomena, from national to local level. Furthermore, because of the high spatial resolution and the classification scheme adopted, it is suitable for an effective monitoring system, compared to other existing classification systems or monitoring programs.
topic copernicus
land cover
sentinel
map updating
urban growth
photointerpretation
url http://dx.doi.org/10.1080/17445647.2020.1758808
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