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

INSPIRE Natural Risk Zone Schema Extension for Susceptibility Area Minerva Intelligence

European Landscape Dynamics J. Feranec, T. Soukup, G, Hazeu, and G. Jaffrain

Derivation and analysis of a high-resolution estimate of global permafrost zonation S. Gruber

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.
Final-revised paper