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Software Tools for Terrain and Forest Modelling

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Handbook on Advances in Remote Sensing and Geographic Information Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 122))

Abstract

Huge amount of data obtained from airborne, terrestrial, and mobile laser scanners require the suitable software tools for storing and analyzing the data in order to gain the required results. The development of software tools for the LiDAR data processing that began since 1980s is not trivial due to the high requirements for hardware, effective algorithms, real-time rendering of realistic scenes, containing millions of primary elements. Also, a forest scene simulation based on a procedural modelling evolves successfully as a demanded direction in design of virtual worlds, computer games, and movies. Among the great variety of software tools, some packages and platforms, such as Terrasolid, ArcGIS, Xfog, SpeedTree, forge ahead. All packages are developed persistently, with appearance new versions periodically. However, a choice of a software tool’s version depends strongly from a solving task and the resources of organization. Inside the commercial products, free software with the limited functionality is supported as a way to understand their necessity in the future projects of the end-users.

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Author information

Authors and Affiliations

  1. Institute of Informatics and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, UK

    Lakhmi C. Jain

  4. KES International, Leeds, West Yorkshire, UK

    Lakhmi C. Jain

Authors
  1. Margarita N. Favorskaya
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  2. Lakhmi C. Jain
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Correspondence to Lakhmi C. Jain .

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Favorskaya, M.N., Jain, L.C. (2017). Software Tools for Terrain and Forest Modelling. In: Handbook on Advances in Remote Sensing and Geographic Information Systems. Intelligent Systems Reference Library, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-52308-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-52308-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52306-4

  • Online ISBN: 978-3-319-52308-8

  • eBook Packages: EngineeringEngineering (R0)

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