Towards cartographic xR representation – case topobathymetric hypsometric colouring

Kettunen, Pyry; Saarinen, Anna; Järvinen, Saana

doi:10.5194/ica-abs-12-58-2026

Articles | Volume 12

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Articles | Volume 12

https://doi.org/10.5194/ica-abs-12-58-2026

Articles | Volume 12

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07 Sep 2026

| 07 Sep 2026

Towards cartographic xR representation – case topobathymetric hypsometric colouring

Pyry Kettunen, Anna Saarinen, and Saana Järvinen

Pyry Kettunen

https://orcid.org/0000-0002-7025-4570

Finnish Geospatial Research Institute (FGI), National Land Survey of Finland (NLS), Finland

Anna Saarinen

University of Helsinki, Finland

Saana Järvinen

Finnish Geospatial Research Institute (FGI), National Land Survey of Finland (NLS), Finland

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Visualization and animation trials of 3D geospatial marine oceanographic datasets

Saana Järvinen, Pyry Kettunen, and Anssi Jussila

Abstr. Int. Cartogr. Assoc., 12, 50, https://doi.org/10.5194/ica-abs-12-50-2026,https://doi.org/10.5194/ica-abs-12-50-2026, 2026

Classifying challenges in machine learning of small watercourse recognition

Justus Poutanen, Pyry Kettunen, Anssi Jussila, and Christian Koski

Abstr. Int. Cartogr. Assoc., 10, 234, https://doi.org/10.5194/ica-abs-10-234-2025,https://doi.org/10.5194/ica-abs-10-234-2025, 2025

Revisiting perceptual properties of visual variables in mixed reality

Irma Kveladze and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 10, 161, https://doi.org/10.5194/ica-abs-10-161-2025,https://doi.org/10.5194/ica-abs-10-161-2025, 2025

Exploring the link between neural network metrics and the completeness and connectivity of predicted watercourses

Christian Koski, Pyry Kettunen, and Anssi Jussila

Abstr. Int. Cartogr. Assoc., 10, 153, https://doi.org/10.5194/ica-abs-10-153-2025,https://doi.org/10.5194/ica-abs-10-153-2025, 2025

View-adaptive implementation of hypsographic tinting for interactive web maps

Pyry Kettunen, Antti Järvenpää, and Olli Sirkiä

Abstr. Int. Cartogr. Assoc., 10, 144, https://doi.org/10.5194/ica-abs-10-144-2025,https://doi.org/10.5194/ica-abs-10-144-2025, 2025

Double thresholding GeoAI prediction to fill gaps in extracted watercourse Network

Anssi Jussila, Pyry Kettunen, and Christian Koski

Abstr. Int. Cartogr. Assoc., 10, 135, https://doi.org/10.5194/ica-abs-10-135-2025,https://doi.org/10.5194/ica-abs-10-135-2025, 2025

A Collaborative GIS for Planning of Urban Drone Launch and Landing Site Locations

Miloš N. Mladenović, Muhammad Atiullah Saif, Eija Honkavaara, Pyry Kettunen, Mikko Rönneberg, Anssi Jussila, Leo Niemi, and Miia Farstad

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W11-2025, 227–233, https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-227-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-227-2025, 2025

Effects of point cloud density and DEM resolution to CNN recognition of small watercourses

Justus Poutanen, Pyry Kettunen, Anssi Jussila, Juha Oksanen, and Christian Koski

Abstr. Int. Cartogr. Assoc., 9, 29, https://doi.org/10.5194/ica-abs-9-29-2025,https://doi.org/10.5194/ica-abs-9-29-2025, 2025

Eliciting user needs of a collaborative GIS for planning urban drone landing sites

Mikko Rönneberg, Anssi Jussila, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 8, 20, https://doi.org/10.5194/ica-abs-8-20-2024,https://doi.org/10.5194/ica-abs-8-20-2024, 2024

Recall of nature hiking landmarks on account of sketch maps

Pyry Kettunen and Gautier Le Gall

Abstr. Int. Cartogr. Assoc., 8, 14, https://doi.org/10.5194/ica-abs-8-14-2024,https://doi.org/10.5194/ica-abs-8-14-2024, 2024

Developing a conceptual framework for usability evaluation of cartographic design principles in Mixed Reality applications

Irma Kveladze and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 7, 80, https://doi.org/10.5194/ica-abs-7-80-2024,https://doi.org/10.5194/ica-abs-7-80-2024, 2024

Gathering a multicultural ontology of outdoor and hiking landmarks from direct terrain observations and sketch maps

Pyry Kettunen, Eva Nuhn, Marie-Dominique Van Damme, and Ana-Maria Olteanu-Raimond

Abstr. Int. Cartogr. Assoc., 7, 74, https://doi.org/10.5194/ica-abs-7-74-2024,https://doi.org/10.5194/ica-abs-7-74-2024, 2024

Vectorization of watercourse detection from neural network

Anssi Jussila, Christian Koski, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 7, 65, https://doi.org/10.5194/ica-abs-7-65-2024,https://doi.org/10.5194/ica-abs-7-65-2024, 2024

Lessons learnt from digitizing a label dataset for AI-based feature extraction of watercourses

Justus Poutanen, Christian Koski, Juha Oksanen, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 6, 205, https://doi.org/10.5194/ica-abs-6-205-2023,https://doi.org/10.5194/ica-abs-6-205-2023, 2023

The effect of dominant background color and visualizing cycling routes on the readability of topographic maps: An eye tracking study

Merve Keskin, Mikko Rönneberg, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 6, 123, https://doi.org/10.5194/ica-abs-6-123-2023,https://doi.org/10.5194/ica-abs-6-123-2023, 2023

Automation of the visualisation of eye-tracking data with animated heatmaps

Ninon Jaeger, Merve Keskin, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 6, 104, https://doi.org/10.5194/ica-abs-6-104-2023,https://doi.org/10.5194/ica-abs-6-104-2023, 2023

Cartographic adaptation through eye tracking and deep learning: Gaze-Aware Interactive Map System (GAIMS)

Merve Keskin, Mikko Rönneberg, and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 5, 107, https://doi.org/10.5194/ica-abs-5-107-2022,https://doi.org/10.5194/ica-abs-5-107-2022, 2022

Mapping small watercourses with deep learning – impact of training watercourse types separately

Christian Koski, Pyry Kettunen, Justus Poutanen, and Juha Oksanen

AGILE GIScience Ser., 3, 43, https://doi.org/10.5194/agile-giss-3-43-2022,https://doi.org/10.5194/agile-giss-3-43-2022, 2022

Designing AI-assisted interactive map displays to explore spatial information

Merve Keskin and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 3, 148, https://doi.org/10.5194/ica-abs-3-148-2021,https://doi.org/10.5194/ica-abs-3-148-2021, 2021

Enabling citizens to refine the location accuracy of cadastre boundary markers by gamified VGI

Mikko Rönneberg and Pyry Kettunen

Abstr. Int. Cartogr. Assoc., 3, 252, https://doi.org/10.5194/ica-abs-3-252-2021,https://doi.org/10.5194/ica-abs-3-252-2021, 2021

Piloting the use of machine learning methods for automatic mapping of streams and ditches in Finland

Christian Koski, Pyry Kettunen, Justus Poutanen, Lingli Zhu, and Juha Oksanen

Abstr. Int. Cartogr. Assoc., 3, 158, https://doi.org/10.5194/ica-abs-3-158-2021,https://doi.org/10.5194/ica-abs-3-158-2021, 2021