Enriching river network data for multi-scale machine learning based selection : a case study of Poland and France

Published in:: Abstracts of the ICA
Vol. 7.2024 (02.09.2024), art. no. 83, p. 1-2
Volume:: 7.2024
Publication date:: 02.09.2024
URN:: urn:nbn:de:0307-20250910-005-1
DOI:: 10.5194/ica-abs-7-83-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 1,07 MB) : 1 Illustration, 1 Textdatei (PDF)
Keywords:: cartography; machine learning; map generalization; rivers; enrichment; multi-scale; Kartografie^GND; Maschinelles Lernen^GND; Generalisierung <Kartografie>^GND; Fluss^GND; Anreicherung; Mehrskaligkeit
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-7-83-2024
URL:: https://ica-abs.copernicus.org/articles/7/83/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/7/83/2024/ica-abs-7-83-2024.pdf
Hosting institution:: National Institute of Geographic and Forest Information (IGN) [FR]
Hosting institution:: University of Warsaw (UW) [PL]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Bérénice Le Mao, Iga Ajdacka, Izabela Karsznia, Guillaume Touya, Albert Adolf
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 7, 2024 - European Cartographic Conference – EuroCarto 2024; 9–11 September 2024, TU Wien, Vienna, Austria; Editors: Georg Gartner, Florian Ledermann, and Andrea Binn | https://ica-abs.copernicus.org/articles/7/index.html