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DATA COLLECTION FOR ASSESSMENT OF HAZARDOUS CONDITIONS AND ECOSYSTEM BENEFITS OF URBAN TREES USING QFIELD/QGIS

Authors: Stefano Calamai; Arianna Francesconi; Fabrizio Cinelli;

DATA COLLECTION FOR ASSESSMENT OF HAZARDOUS CONDITIONS AND ECOSYSTEM BENEFITS OF URBAN TREES USING QFIELD/QGIS

Abstract

The aim of this paper is to highlight the main benefits of using the Qfield app in tree census activity. The advantage of entrusting all of the information to the main GIS platform of the project (master), which is stored inside the PC, means this leaves only the task of checking the collected data, along with the bonus of in-depth topographical and geospatial analysis. We illustrate the results of tree census activity in the state road 67 Tosco-Romagnola (SS 67) that connects Pisa with Marina di Ravenna, particularly in the stretch that connects the towns of Fornacette and Pontedera. Part of this stretch (about 1,.7 km) belongs to the Municipality of Calcinaia with which we are collaborating for the urban tree inventory. This one is straight, has a discontinuous and partly uneven double row of trees of the same species (hackberry), and is subject to high vehicular traffic, even heavy, due to the presence of artisanal and industrial activities. The goal of the work was to evaluate the phytopathological and hazardous conditions and the ecosystem benefits of the trees along this stretch of road in terms of healthy, C02 absorption, particulate matter (PM10) adsorption and shade effect using a GIS opensource app (QFIELD and QGIS).

Country
Italy
Related Organizations
Keywords

Celtis australis L., Open Access App, Opensource, QGIS, QFIELD, Earth Observation, tree census activity.

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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