INSPIRE standards as a framework for artificial intelligence applications: a landslide example

Roberti, Gioachino; McGregor, Jacob; Lam, Sharon; Bigelow, David; Boyko, Blake; Ahern, Chris; Wang, Victoria; Barnhart, Bryan; Smyth, Clinton; Poole, David; Richard, Stephen

doi:https://doi.org/10.5194/nhess-20-3455-2020

Articles | Volume 20, issue 12

https://doi.org/10.5194/nhess-20-3455-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-3455-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 12

Research article

|

16 Dec 2020

Research article |

| 16 Dec 2020

INSPIRE standards as a framework for artificial intelligence applications: a landslide example

Gioachino Roberti, Jacob McGregor, Sharon Lam, David Bigelow, Blake Boyko, Chris Ahern, Victoria Wang, Bryan Barnhart, Clinton Smyth, David Poole, and Stephen Richard

Data sets

TINITALY, a digital elevation model of Italy with a 10 m-cell size (Version 1.0) S. Tarquini, I. Isola, M. Favalli, and A. Battistini https://doi.org/10.13127/TINITALY/1.0

INSPIRE Natural Risk Zone Schema Extension for Susceptibility Area Minerva Intelligence https://github.com/minervaintelligence/INSPIRE-NZ-Susceptibility

European Landscape Dynamics J. Feranec, T. Soukup, G, Hazeu, and G. Jaffrain https://doi.org/10.1201/9781315372860

Derivation and analysis of a high-resolution estimate of global permafrost zonation S. Gruber https://doi.org/10.5194/tc-6-221-2012

Short summary

We show how INSPIRE, the European initiative to standardize data across borders, can be used to...