Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3455–3483, 2020
https://doi.org/10.5194/nhess-20-3455-2020
Nat. Hazards Earth Syst. Sci., 20, 3455–3483, 2020
https://doi.org/10.5194/nhess-20-3455-2020

Research article 16 Dec 2020

Research article | 16 Dec 2020

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

Gioachino Roberti et al.

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

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Short summary
We show how INSPIRE, the European initiative to standardize data across borders, can be used to produce explainable AI-based applications. We do so by producing landslide susceptibility maps for the Veneto region in Italy. EU countries are mandated by law to implement the INSPIRE data framework by 2021, but they are aligning and serving INSPIRE data at a slow pace. Our paper can provide a boost to INSPIRE implementation as it shows the value of standardized data.
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