Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Characterization and Mapping of Public and Private Green Areas in the Municipality of Forli (NE Italy) Using High-Resolution Images

Articolo
Data di Pubblicazione:
2023
Abstract:
Urban Green Spaces (UGS) contribute to the sustainable development of the urban ecosystem, positively impacting quality of life and providing ecosystem services and social benefits to inhabitants. For urban planning, mapping and quantification of UGS become crucial. So far, the contribution of private green spaces to ecosystem services in urban areas has yet to be studied. At the same time, in many Italian cities, they represent a considerable part of the urban green cover. This study utilises a methodological approach and provides insights into the contribution of urban public and private green spaces by the consideration of a case study area in Northeast Italy. To achieve this goal, the main steps were: (i) NDVI extraction from very high-resolution (20 cm) orthophotos, (ii) classification of property status and (iii) analysis of the degree of the greenness of land cover units. From our results, the total amount of the green spaces is 5.70 km2, of which 72.1% (4.11 km2) is private, and 28.9% (1.59 km2) is public. As for the land cover, three NDVI classes were identified, highlighting different degrees of homogeneity in NDVI reflectance response within each urban land cover unit. These results will support the planning of new green areas in the post-epidemic National Recovery and Resilience Plan.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
urban green areas; urban planning; NDVI; land cover; urban forest
Elenco autori:
Ottoboni, Mara; Ungaro, Fabrizio
Autori di Ateneo:
UNGARO FABRIZIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/464030
Pubblicato in:
LAND
Journal
  • Dati Generali

Dati Generali

URL

https://www.mdpi.com/2073-445X/12/3/660
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)