Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11392
Title: The utilization of supervised classification sampling for environmental monitoring in Turin (Italy)
Authors: Salata, Stefano
Keywords: Land use
Geographic information systems
Classification
Habitat quality
Normalized Difference Vegetation Index
Environmental planning
Issue Date: 2021
Publisher: MDPI
Abstract: In a world threatened by climate change, the need to observe the land transformation is crucial to set environmental policies. One of the most prominent issues of environmental monitoring is the availability of updated and reliable land use data. The last land-use release in Piedmont Region (Italy) is in 2010, while the most updated Normalized Difference Vegetation Index is in 2016. To overcome this limit, in this study, a supervised classification sampling has been applied on a Sentinel-2 image produced by the Copernicus Program on 29 September 2020, using Esri ArcGIS (ver.10.8 Redlands, California, US) by accessing via ONDA-DIAS services to L2A products. After land classification, three maps were generated-the Habitat Quality, the Habitat Decay, and the Normalized Difference Vegetation Index. This study aimed at classifying the environmental status in five classes ranging from critical to health with a double perspective-(i) to make a comparative metropolitan assessment between municipalities and (ii) to evaluate the quality of urban public green areas in the city of Turin while defining a different kind of intervention. Results indicate that products derived from supervised classification sampling can be applied in a wide range of applications while reaching seasonal monitoring of the environmental status and delivering just-in-time solutions.
URI: https://doi.org/10.3390/su13052494
https://hdl.handle.net/11147/11392
ISSN: 2071-1050
Appears in Collections:City and Regional Planning / Şehir ve Bölge Planlama
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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