Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes
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Perspectives in machine learning for wildlife conservation
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Self-citation
- Authors
- Risse, B., Mangan, M., Stürzl, W., & Webb, B.
- Affiliations
- University of Edinburgh (GB)
- University of Lincoln (GB)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Corresponding author
- Risse, Benjamin
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 99
- Pages
- 88-100
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2767089023
- Cited by
- 34
- References
- 50
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 1 · 2018: 3
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Environmental Modelling & Software (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, other-oa)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- elib (German Aerospace Center) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- BBSRC
- EPSRC (EP/M008479/1)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Environmental Science › Environmental Engineering › Remote Sensing and LiDAR Applications
- Keywords
- terrestrial laser scanning, point clouds, 3D scanning, natural environment, grassland, desert vegetation, eucalyptus trees, volcanic terrain, memory reduction, open source software
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