Using data-driven algorithms for semi-automated geomorphological mapping

Details

Ressource 1Download: Giaccone2021_Article_UsingData-drivenAlgorithmsForS.pdf (8849.37 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_94468C4E4AE8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Using data-driven algorithms for semi-automated geomorphological mapping
Journal
Stochastic Environmental Research and Risk Assessment
Author(s)
Giaccone Elisa, Oriani Fabio, Tonini Marj, Lambiel Christophe, Mariéthoz Grégoire
ISSN
1436-3240
1436-3259
Publication state
Published
Issued date
30/07/2021
Language
english
Keywords
Environmental Engineering, General Environmental Science, Safety, Risk, Reliability and Quality, Water Science and Technology, Environmental Chemistry
Open Access
Yes
Funding(s)
Swiss National Science Foundation / CR23I2_162754
University of Lausanne
Create date
09/08/2021 13:37
Last modification date
10/08/2021 7:11
Usage data