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Solar Energy
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Solar Energy
Article . 2017 . Peer-reviewed
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Mapping land use impact of photovoltaic farms via crowdsourcing in the Province of Lecce (Southeastern Italy)

Authors: MAURO, GIOVANNI; LUGHI, VANNI;

Mapping land use impact of photovoltaic farms via crowdsourcing in the Province of Lecce (Southeastern Italy)

Abstract

Photovoltaics (PV) is the fastest-growing renewable energy source at the global level and Italy has been one of the pioneers of such growth, now being one of the Countries with the largest installed PV capacity – absolute, per unit area, and per capita. In this paper we investigated the impact of PV on land use in the area with the highest density of PV farms in Italy, i.e. the Province of Lecce (Southeastern Italy): here, such impact is expected to be maximum and has been the subject of public debate. In order to map all PV farms in detail, we used participative cartography, specifically OpenStreetMap (OSM), as data source. This international project collects geographic information (often gathered by people – i.e. the so-called Volunteered Geographic Information, VGI – using widely available technologies, such as smartphone built-in GPS), in order to create freely available global topographic maps. In this paper, we used the OSM platform to create a Geographical Information System (GIS) of PV farms in the Province of Lecce. Using GIS-based techniques, we estimated land use at the municipality level and created a density map of PV farms within the study area. Using the official land cover map Corine Land Cover of 2012, we also evaluated the main changes in land use. The results highlight the correlation between spatial distribution of PV farms and geographic variables (geomorphology, demographics, tourism, etc). We also show that land take by PV farms is quite marginal even in a region such as the Province of Lecce, where the density of PV installed power is among the highest available at the global level.

Country
Italy
Keywords

Photovoltaic farm, OpenStreetMap, Photovoltaic farms; OpenStreetMap; GIS; Land take; PV plants geographical distribution, Photovoltaic farms; OpenStreetMap; GIS, Land take; PV plants geographical distribution, GIS, Land take, PV plants geographical distribution

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
Green
bronze