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A Smart Green Strategy and Big Data Analytics for Mapping Land Use Changes

  • Giuliana Bilotta,
  • Stefano Bonfa,
  • Piero Francesco Spanò,
  • Sonia Calluso,
  • Maurizio Pasquale Manti

摘要

In the past few years, there has been a greater focus on monitoring, control, and prevention of land, especially in view of the clear territorial and environmental changes caused by climate change. Changing weather patterns pose significant threats to land, infrastructure, cultural assets, and urban resilience. Consequently, is heightened the comprehension of the importance of the significance of creating effective monitoring systems and preventive measures to protect and preserve the land, artefacts, and cultural heritage, in addition to technologies and tools for sharing the collected data. This includes utilising Big Data as source of information. Big Data is commonly understood to refer to large and complex datasets that are so massive or complicated that typical data processing programmes are incapable of processing them. The exspression “Big Data” frequently denotes the utilisation of predictive analytics, user behaviour analyses or other sophisticated data analytics methodologies approaches for extracting value from data, rather than a specific data set size. This is particularly accurate for the for the massive amounts of Earth Observation imagery transmitted daily by satellites in orbit around the Earth.