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UID:pretalx-foss4g-it-2023-SPGKEK@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T091500
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DESCRIPTION:The agricultural sector has benefitted over the last century fr
 om several factors that have led to an exponential increase in its product
 ive efficiency. The increasing use of new materials\, such as plastics\, h
 as been one of the most important factors\, as they have allowed for incre
 ased production in a simpler and more economical way. Various polymer type
 s are used in different phases of the agricultural production cycle\, but 
 when their use is incorrectly managed\, it can lead to serious environment
 al impacts. Plastic pollution\, largely perceived by the public as a major
  risk factor that strongly impacts sea life and preservation\, has an even
  higher negative impact on terrestrial ecosystems. Indeed\, quantitative d
 ata about plastic contamination on agricultural soils are progressively em
 erging in alarming ways. One of the main contributors to this pollution in
 volves the mismanagement of Agricultural Plastic Waste (APW)\, i.e.\, the 
 residues from plastic material used to improve the productivity of agricul
 tural crops - such as: greenhouse covers\, mulching films\, irrigation pip
 es\, etc. Indeed\, a wrong management of agricultural plastics during and 
 after their working lives\, may pollute the agricultural soil and aquifers
  by releasing macro-\, micro-\, and nano-plastics\, which could also enter
  into the human food chain. \nIn this study\, an applied and simplified me
 thodology to quantify and manage agricultural plastics is proposed. The te
 chniques used are based on a deductive approach\, based on the quantificat
 ion through the use of different remote-sensed datasets (orthophotos and s
 atellite images) of the areas covered by plastics used for crop protection
 . Additionally\, through an inductive approach\, based on statistical data
  from the agricultural census of the administrative areas of the Italian p
 rovinces\, an agricultural plastic coefficient (APC) has been proposed\, i
 mplemented\, and spatialized in a GIS environment\, to produce a database 
 of APW for each type of crop. \nThe study area chosen for the analysis her
 e presented is a part of the Ionian Coast of Southern Italy\, which includ
 es the most important municipalities of the Basilicata Region as for fruit
  and vegetable production. The use of geographical techniques and observat
 ion methodologies\, developed in an open-source GIS environment\, enabled 
 an accurate location of about 2000 hectares of agricultural land covered b
 y plastics\, as well as the identification of areas most susceptible to th
 e accumulation of plastic waste. The proposed methodology can be exported 
 to other countries\, since it represents valuable support that could reali
 ze\, in integration with other tools\, a database of agricultural plastics
  use\, which may be a starting point to plan strategies and actions target
 ed to the reduction of the plastic footprint of agriculture. The technique
 s and the model implemented\, due to its simplicity of use and reliability
 \, can be applied by different local authorities\, in order to create an a
 tlas of agricultural plastics\, which would be applied for their continuou
 s monitoring\, thereby enabling to upscale future social and ecological im
 pact assessments\, identification of new policy impacts\, market searches\
 , etc. as well.
DTSTAMP:20260510T020142Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Implementing a GIS-based digital atlas with different datasets for 
 estimating the agricultural plastics environmental footprint - Pietro Picu
 no\, Dina Statuto\, Giuseppe Cillis
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/SPGKEK/
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