Abstract
The rising environmental issues on contemporary cities urgently calls for sustainable planning policies. Implementation of nature-based solutions, ecosystem services, and green infrastructures associated to green spaces management is at present of paramount importance. In contrast to policies mainly focused on public greenery, the inclusion of private green in planning strategies might be a promising pathway. The general aim is mapping and classifying urban green spaces in Padua, a city of 93.3 km2 (Northeast Italy). Specific aims are (i) testing an NDVI-derived extraction from very high-resolution orthophotos; (ii) classifying property status; (iii) highlighting multilevel relationships and strategies for urban green spaces implementation and management; (iv) assessing greenery in relation to per capita population. By performing remote sensing and GIS analyses, a first detailed global map of urban green spaces in Padua was created; then, binary classification and thematic maps for rural/non-rural, public/private, municipal/non-municipal greenery were produced for all urban units. Results show that, among total green spaces (52.23 km2), more than half are rural. Moreover, private green spaces represent 80%, while within public areas (20%) less than 10% are municipal (5 km2). We therefore highlight scenarios for planning policies in Padua by providing tools to policymakers for an integrated management of green spaces, where private greenery might also contribute to ecosystem services implementation for common urban well-being.
Highlights
We had to perform an overlay between cadastral maps of land parcels owned by public institutions in Padua and green surfaces derived by our mapping. This task was conducted in cooperation with Padua Municipality, which provided a table of Italian public institutions that we filtered to select the ones that were likely to own land plots in Padua
urban green spaces (UGS) location after NDVI extraction and before integration based on the topographic a linear interpolation of NDVI values, allows locating areas where vegetation
The pattern on a linear interpolation of NDVI values, locating areas where vegetation is most of pe agricultural fields and thewith state cultivations can be distinguished in a yellow-lig flourishing, often coincident theoftree canopy
Summary
In contemporary territorial and urban planning, nature-based policies and practices to improve the health and social life of citizens are growing and becoming even more relevant. In all the above-mentioned frameworks, urban green spaces (UGS) play an important role in addressing and supporting urban planning policies and actions They provide relevant UES, especially by the contribution of vegetation systems, permeable soils, and city farmlands. From both GI and UES perspectives, they appear to play a remarkable role [36]: rural greenery is responsible for provisioning regulatory ecosystem services to citizens and may be included, together with other green-and-blue urban features, in urban GI supplied with sustainable mobility networks connecting cities to their natural or semi-natural surroundings In this context, accurate localisation and quantification of UGS and mapping their property status become paramount for GI/NBS implementation and sustainable spatial planning.
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