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.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (10 Jul 2020) by Filippo Catani
AR by gioachino roberti on behalf of the Authors (17 Jul 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Aug 2020) by Filippo Catani
RR by Omar F. Althuwaynee (24 Aug 2020)
RR by Ivan Marchesini (16 Sep 2020)
ED: Publish subject to technical corrections (16 Sep 2020) by Filippo Catani
AR by gioachino roberti on behalf of the Authors (19 Sep 2020)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by gioachino roberti on behalf of the Authors (24 Nov 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (04 Dec 2020) by Filippo Catani
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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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