Analysis of the Evolution of a Rural Landscape by Combining SAR Geodata with GIS Techniques

  • Giuseppe CillisEmail author
  • Aimé Lay-Ekuakille
  • Vito Telesca
  • Dina Statuto
  • Pietro Picuno
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 67)


In the last decades, Mediterranean rural landscapes have undergone significant changes, with relevant considerable environmental and socio-economic impacts. These phenomena are often triggered by agricultural abandonment, especially in environmentally-sensitive areas, which are usually located in marginal and less profitable regions, and which could indeed irremediably compromise the identity and role of these Mediterranean landscapes. On the other hand, the progressive increase of available multi-source geodata allows to reconstruct the landscape original structure, providing new tools able to prevent negative impacts on environment. Hence, thanks to the development of increasingly advanced and open-source GIS tools, it is possible to implement several geodata typologies that can be mutually integrated in an increasingly efficient approach. In this paper the process of landscape reshaping pattern is analyzed in a study area of Basilicata region (Southern Italy) using remote sensing. In particular, the vegetation component of a landscape has been assessed by means of SAR images by using an artificial intelligence approach, that is machine learning to understand landscape dynamics in two different time periods. In this way, it has been possible to integrate data of different source and composition into landscape analysis methodologies, hence developing a suitable tool for planning and managing the rural landscape.


Remote sensing SAR Geographical information system Rural landscape Artificial intelligence Machine learning 



Authors gracefully thank Geocart Srl company for providing the SAR images used in this work.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Giuseppe Cillis
    • 1
    Email author
  • Aimé Lay-Ekuakille
    • 2
  • Vito Telesca
    • 3
  • Dina Statuto
    • 1
  • Pietro Picuno
    • 1
  1. 1.School of Agricultural, Forest, Food and Environmental Sciences - SAFEUniversity of BasilicataPotenzaItaly
  2. 2.Department of Innovation EngineeringUniversity of SalentoLecceItaly
  3. 3.School of EngineeringUniversity of BasilicataPotenzaItaly

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