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UID:pretalx-foss4g-it-2023-RPJXUC@talks.osgeo.org
DTSTART;TZID=GMT:20230615T122500
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DESCRIPTION:The new EU programmes and funds aim to support the territories 
 in facing the main challenges for development\, combining a relaunch of co
 mpetitiveness and sustainable and inclusive growth.\n To address issues su
 ch as adaptation to climate change\, the resilience of territories\, and t
 he protection of biodiversity and natural ecosystems\, it is necessary to 
 support traditional planning and monitoring methods with new and more effe
 ctive systems capable of maximizing the effectiveness of policies and inve
 stments. In this context\, Regione Piemonte\, which has always been active
  in  use of OSGeo\, has developed a new methodology that will apply in the
  ERDF 2021-2027 PO 2 for  urban heat islands (UHI) identification  and mon
 itoring its evolution over time. The tool involves using satellite images\
 , made available by the United States Space Agency (NASA) and the European
  Space Agency (ESA)\, and their processing through the use of free softwar
 e such as QGIS\, SAGA\, GRASS\, Python\, and R\, etc. The analysis involve
 s the combination of data deriving from the processing of a series of sate
 llite images using their spectral indexes and data relating to the spatial
  distribution of the population most exposed to the effects of summer heat
  waves extrapolated from the associated demographic data to the census sec
 tions and provided by ISTAT. The indices derived from the satellite analys
 is identified for use were: the LST (Land Surface Temperature) which provi
 des basic information relating to the distribution of temperatures in spac
 e and the NDVI (Normalized Difference Vegetation Index)\, able to highligh
 t the vegetative state and considered strategic as it can describe the "be
 neficial" effects\, in terms of decrease in ground temperatures\, generate
 d by the presence of vegetation. The data deduced from the suitably normal
 ized spectral index maps were then combined with the demographic data to p
 roduce maps of the vulnerability of urban centers (all the cities of Piedm
 ont with more than 10\,000 inhabitants) to heat islands\, helpful in ident
 ifying the most sensitive areas where to implement appropriate NBS (Nature
  Based Solutions) interventions. This analysis system is supported by a mo
 nitoring system that evaluates the effects of the adaptation interventions
  to be implemented\, the LST and NDVI spectral indices have been evaluated
  on a seasonal basis on a ten-year historical series (2013/2022) on pilot 
 areas. NDVI will be considered suitable for measuring the effects induced 
 by urban transformations and therefore usable for quantifying the effectiv
 eness of future NBS interventions financed by the new programming. The act
 ivity carried out up to now has highlighted the advantages of the combined
  use of open source data and free software: the remote sensing data provid
 e updated and detailed information on land cover and make it possible to d
 irectly estimate certain physical and ecosystemic quantities of the territ
 ory while the Free software allows for extensive analysis capabilities for
  free.\nThe ongoing activity has allowed the development of a first propos
 al for a methodology that will be supplied as a support tool for planning 
 and programming activities. This methodology\, while showing some limitati
 ons as it analyzes only some aspects of the UHI phenomenon\, presents inte
 resting development potential that will be the subject of further study.
DTSTAMP:20260312T224828Z
LOCATION:Sala Videoconferenza @ PoliBa
SUMMARY:European Fund (ERDF) and use of Open Source Geospatial (OSGeo) to s
 upport the planning and monitoring in Regione Piemonte - Enrico Suozzi\, G
 iorgio Roberto Pelassa
URL:https://talks.osgeo.org/foss4g-it-2023/talk/RPJXUC/
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