How to represent landmark trees in digital 3D maps? An automated workflow and user study

Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present a fully automatic pipeline that models landmark trees. We conducted two crowdsourced user studies to evaluate visual appeal and scene recognizability using two different levels of detail of tree representations generated using our pipeline. Users found highly detailed trees much more appealing, and also easier and more trustworthy to recognize, with open-ended responses revealing key factors like realism, coherence, and tree shape influencing their preferences. However, the ability to recognize a location seems to depend more on the surrounding environment than the representation of the landmark tree in focus. We discuss the implications of these results for digital 3D outdoor maps.

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Publication Details

Journal
Cartography and Geographic Information Science
Published
2025-05-09
DOI
https://doi.org/10.1080/15230406.2025.2489543
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

How to represent landmark trees in digital 3D maps? An automated workflow and user study

Angeliki Grammatikaki, Manuela Waldner, Oscar Argudo, Florian Ledermann et al.
Cartography and Geographic Information Science
Remote Sensing and LiDAR Applications
article

How to represent landmark trees in digital 3D maps? An automated workflow and user study

Angeliki Grammatikaki, Manuela Waldner, Oscar Argudo, Florian Ledermann, Johannes Eschner
article en

Abstract

Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present a fully automatic pipeline that models landmark trees. We conducted two crowdsourced user studies to evaluate visual appeal and scene recognizability using two different levels of detail of tree representations generated using our pipeline. Users found highly detailed trees much more appealing, and also easier and more trustworthy to recognize, with open-ended responses revealing key factors like realism, coherence, and tree shape influencing their preferences. However, the ability to recognize a location seems to depend more on the surrounding environment than the representation of the landmark tree in focus. We discuss the implications of these results for digital 3D outdoor maps.

Cartography and Geographic Information ScienceVol. 52(6)
TU Wien (AT), Universitat Politècnica de Catalunya (ES)
Generalitat de Catalunya, Technische Universität Wien, European Regional Development Fund, Agencia Estatal de Investigación, Technische Universität Wien Bibliothek
Sustainable cities and communities
Openalex Percentile: Top 91%
Remote Sensing and LiDAR Applications
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How to represent landmark trees in digital 3D maps? An automated workflow and user study — Angeliki Grammatikaki, Manuela Waldner, et al. · Cartography and Geographic Information Science (2025) | TGRS Research Map | TGRS