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UID:pretalx-foss4g-it-2023-SPGKEK@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T091500
DTEND;TZID=GMT:20230613T093000
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:20260512T202734Z
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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UID:pretalx-foss4g-it-2023-WQPKTY@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T093000
DTEND;TZID=GMT:20230613T094500
DESCRIPTION:The setting up of a general framework for the environmental and
  landscape planning of a protected area\, requires a basic detailed survey
  of this area and its vegetation\, accompanied by a monitoring of the latt
 er\, so that a specific maintenance plan can be implemented accordingly. W
 ith reference to an area of high environmental\, landscape and archaeologi
 cal value\, such as the 'Pulo di Molfetta' (Municipality of Molfetta – S
 outhern Italy)\, some georeferenced floristic surveys have been carried ou
 t\, with relative mapping and monitoring of the vegetation growth. In this
  way\, it has been possible to draw up some detailed management measures f
 or the vegetation\, as well as to plan suitable interventions of ecologica
 l engineering\, aimed at determining the most appropriate conditions for t
 he recovery\, use and sustainable management of this study area\, even for
  tourism purposes. These activities have been conducted through the constr
 uction of a basic model\, which has been implemented in a Geographical Inf
 ormation System (GIS)\, structured on the basis of some Free and Open-Sour
 ce geographic data\, integrated with a geo-localized 3D survey of the geom
 orphology\, architectural structures and the flora-vegetation habitat. The
  survey\, georeferencing and 3D model formation operations have been condu
 cted by means of:\n1) a photogrammetric survey at ultra-low height – var
 iable\, according to the orography - carried out with Unmanned Aerial Vehi
 cles (UAVs)\, to obtain a 3D digital modelling\, having a readable resolut
 ion of at least 2 cm/pixel\;\n2) coverage with a block of frames with nadi
 ral and sub-horizontal orientation\, for a readability optimized to the an
 alysis of both the geomorphology and the existing medium and tall vegetati
 on\;\n3) creation of a framing and support network\, materialized with hig
 h-contrast photographic targets\, measured with RTK methodologies of GNSS 
 satellite positioning and accuracy ≤ 3 cm\, georeferenced in the RDN2008
  Reference Coordinate System - as per Italian regulations\;\n4) restitutio
 n of a 3D digital model\, obtained with SfM (Structure from Motion) techno
 logies\, formed by a resolution of 1-2 cm\, point clouds\, triangular mesh
  and photographic texture\;\n5) formation of a very-high resolution ortho-
 photomosaic\, with GSD (Ground Sampling Distance) ≤ 15 mm\, and of an ad
 equate number of radial sections\, with two views\, each one orthogonal to
  the section plane\;\n6) georeferenced identification of the individual fl
 oristic-vegetational elements and help for the construction of a database 
 containing the agreed attributes defined and aimed at planning the vegetat
 ion layers present.\nThe metric analyses have been conducted with commerci
 al instruments\, such as UAVs systems\, GNSS and photogrammetric processin
 g software\, in order to test a very widespread\, low-cost operational cha
 in in the dimensional and qualitative survey of medium-small extensions\, 
 affected by great biodiversity and an important altimetric variation such 
 as a karst sinkhole.\nIn conclusion\, the results thus obtained have allow
 ed for the inclusion of the geo-localized 3D model in a GIS base for the k
 nowledge of the flora-vegetation habitat\, thanks to which it will be poss
 ible to provide support for the decision-making of planning choices for th
 e territory\, landscape and environment of the study area\, as well as its
  close surroundings\, so as to safeguard its biodiversity and ecosystem re
 lations.
DTSTAMP:20260512T202734Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Integrating geographical data with surveys conducted with UAVs for 
 planning areas of high environmental value - Pietro Picuno\, Dina Statuto\
 , Maurizio Minchilli
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/WQPKTY/
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