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.
Land consumption in Italy / Strollo, Andrea; Smiraglia, Daniela; Bruno, Roberta; Assennato, Francesca; Congedo, Luca; De Fioravante, Paolo; Giuliani, Chiara; Marinosci, Ines; Riitano, Nicola; Munafo, Michele. - In: JOURNAL OF MAPS. - ISSN 1744-5647. - 16:1(2020), pp. 113-123. [10.1080/17445647.2020.1758808]
Land consumption in Italy
Strollo, Andrea;Smiraglia, Daniela
;Assennato, Francesca;Congedo, Luca;De Fioravante, Paolo;Giuliani, Chiara;Riitano, Nicola;Munafo Michele
2020
Abstract
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.File | Dimensione | Formato | |
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