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Geographical Information Systems Theory, Applications and Management: 9th International Conference, GISTAM 2023, Prague, Czech Republic, April 2527, 2023, Revised Selected Papers 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 115 pages, height x width: 235x155 mm, 47 Illustrations, color; 12 Illustrations, black and white; IX, 115 p. 59 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2107
  • Izdošanas datums: 01-May-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031602765
  • ISBN-13: 9783031602764
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Geographical Information Systems Theory, Applications and Management: 9th International Conference, GISTAM 2023, Prague, Czech Republic, April 2527, 2023, Revised Selected Papers 2024 ed.Palielināt
  • Formāts: Paperback / softback, 115 pages, height x width: 235x155 mm, 47 Illustrations, color; 12 Illustrations, black and white; IX, 115 p. 59 illus., 47 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2107
  • Izdošanas datums: 01-May-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031602765
  • ISBN-13: 9783031602764
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031602764.html
Keywords:
This book constitutes the refereed post-proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023, held in Prague, Czech Republic during April 2527, 2023.





The 6 full papers included in this book were carefully reviewed and selected from  37 submissions. They focus on challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both information communication and technologies (ICT) as well as management information systems and knowledge-based systems.
.- U-Nets and MultispectralI mages for Detecting the Surface Water of
Rivers via SAR Images. 



.- A Combination of Geomatic Techniques for Modelling the Urban Environment
in Virtual Reality. 



.- Dynamic Real-time Spatio-Temporal Acquisition and Rendering in Adverse
Environments. 



.- Approaches for Addressing Spatial Connectivity of Final Harvests within
Forest Harvest Scheduling Algorithms. 



.- An Open-Source Model for Estimating the Need to Expansion in Local
Charging Infrastructures. 



.- Emergency Management and Response through 3D Maps and Novel
Geo-Information Sources.