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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Online Access: | http://dx.doi.org/10.1080/17445647.2020.1758808 |
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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 |
work_keys_str_mv |
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1721317431765368832 |