Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
07 Sep 2022
Data description paper |
| 07 Sep 2022
| 07 Sep 2022
A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling
Francesco Bucci
Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy
Michele Santangelo
CORRESPONDING AUTHOR
Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy
Lorenzo Fongo
Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, Piazza dell’Università 1, 06123 Perugia, Italy
Massimiliano Alvioli
Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy
Mauro Cardinali
Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy
Laura Melelli
Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, Piazza dell’Università 1, 06123 Perugia, Italy
Ivan Marchesini
Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via Madonna Alta 126, 06128 Perugia, Italy
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- Does anthropogenic morphogenesis contribute to geomorphodiversity in urban environments? M. Burnelli et al. 10.1016/j.geomorph.2024.109582
- Mapping Geodiversity at a National Scale: the Case Study of Italy I. Alberico et al. 10.1007/s12371-023-00889-8
- Landscape planning-addressed regional-scale mapping of geolithological units: an example from Southern Italy M. Schiattarella et al. 10.1080/17445647.2024.2303335
- A benchmark dataset and workflow for landslide susceptibility zonation M. Alvioli et al. 10.1016/j.earscirev.2024.104927
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. 10.1016/j.scitotenv.2024.175277
- A dataset of geotechnical parameters based on international literature to characterise lithotypes in Italy N. Monte et al. 10.1038/s41597-024-04095-1
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Three-dimensional simulations of rockfalls in Ischia, Southern Italy, and preliminary susceptibility zonation M. Alvioli et al. 10.1080/19475705.2022.2131472
- Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy M. Loche & G. Scaringi 10.1016/j.envsoft.2024.106217
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- Geodiversity of Italy A. Casaburi et al. 10.1080/17445647.2024.2340988
- Along-strike variations of strain partitioning within the Apennines determined from large-scale multi-temporal InSAR analysis S. Daout et al. 10.1016/j.tecto.2023.230076
- Geomorphodiversity and anthropization indices for Italian urban areas M. Burnelli et al. 10.1016/j.geomorph.2024.109532
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
- Rapid lithological mapping using multi-source remote sensing data fusion and automatic sample generation strategy T. Zhang et al. 10.1080/17538947.2024.2420824
- Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al. 10.1007/s10346-023-02109-4
- Categorization of the Potential Impact of Italian Quarries on Water Resources through a Multi-Criteria Decision Aiding-Based Model M. Paoletti et al. 10.3390/su16072804
- Sediment connectivity as a key to understand geomorphic effects of the Storm Alex in two mountain catchments of the Mediterranean Alps (Italy) F. Ardizzone et al. 10.1016/j.geomorph.2024.109176
- Scenario-based seismic hazard for horizontal and vertical ground motions in central Italy F. Visini et al. 10.1007/s12210-024-01256-7
- Bronze Age to Roman period salt production in the coastal areas of peninsular Italy: Palaeoenvironments, production methods and archaeological evidence F. Bulian et al. 10.1016/j.quascirev.2024.108930
- A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling F. Bucci et al. 10.5194/essd-14-4129-2022
- A scenario-based approach for immediate post-earthquake rockfall impact assessment M. Alvioli et al. 10.1007/s10346-023-02127-2
22 citations as recorded by crossref.
- Ghost Mines for Geoheritage Enhancement in the Umbria Region (Central Italy) L. Melelli et al. 10.3390/geosciences13070208
- A fluvial record of late Quaternary climate changes and tectonic uplift along the Marche Piedmont Zone of the Apennines: New insights from the Tesino River (Italy) M. Delchiaro et al. 10.1016/j.geomorph.2023.108971
- Does anthropogenic morphogenesis contribute to geomorphodiversity in urban environments? M. Burnelli et al. 10.1016/j.geomorph.2024.109582
- Mapping Geodiversity at a National Scale: the Case Study of Italy I. Alberico et al. 10.1007/s12371-023-00889-8
- Landscape planning-addressed regional-scale mapping of geolithological units: an example from Southern Italy M. Schiattarella et al. 10.1080/17445647.2024.2303335
- A benchmark dataset and workflow for landslide susceptibility zonation M. Alvioli et al. 10.1016/j.earscirev.2024.104927
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. 10.1016/j.scitotenv.2024.175277
- A dataset of geotechnical parameters based on international literature to characterise lithotypes in Italy N. Monte et al. 10.1038/s41597-024-04095-1
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Three-dimensional simulations of rockfalls in Ischia, Southern Italy, and preliminary susceptibility zonation M. Alvioli et al. 10.1080/19475705.2022.2131472
- Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy M. Loche & G. Scaringi 10.1016/j.envsoft.2024.106217
- Land surface diversity: A geomorphodiversity index of Italy M. Burnelli et al. 10.1002/esp.5679
- Geodiversity of Italy A. Casaburi et al. 10.1080/17445647.2024.2340988
- Along-strike variations of strain partitioning within the Apennines determined from large-scale multi-temporal InSAR analysis S. Daout et al. 10.1016/j.tecto.2023.230076
- Geomorphodiversity and anthropization indices for Italian urban areas M. Burnelli et al. 10.1016/j.geomorph.2024.109532
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
- Rapid lithological mapping using multi-source remote sensing data fusion and automatic sample generation strategy T. Zhang et al. 10.1080/17538947.2024.2420824
- Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al. 10.1007/s10346-023-02109-4
- Categorization of the Potential Impact of Italian Quarries on Water Resources through a Multi-Criteria Decision Aiding-Based Model M. Paoletti et al. 10.3390/su16072804
- Sediment connectivity as a key to understand geomorphic effects of the Storm Alex in two mountain catchments of the Mediterranean Alps (Italy) F. Ardizzone et al. 10.1016/j.geomorph.2024.109176
- Scenario-based seismic hazard for horizontal and vertical ground motions in central Italy F. Visini et al. 10.1007/s12210-024-01256-7
- Bronze Age to Roman period salt production in the coastal areas of peninsular Italy: Palaeoenvironments, production methods and archaeological evidence F. Bulian et al. 10.1016/j.quascirev.2024.108930
Latest update: 23 Apr 2025
Short summary
The paper describes a new lithological map of Italy at a scale of 1 : 100 000 obtained from classification of a digital database following compositional and geomechanical criteria. The map represents the national distribution of the lithological classes at high resolution. The outcomes of this study can be relevant for a wide range of applications, including statistical and physically based modelling of slope stability assessment and other geoenvironmental studies.
The paper describes a new lithological map of Italy at a scale of 1 : 100 000 obtained from...
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