Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-753-2023
© Author(s) 2023. 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-15-753-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
14 Feb 2023
Data description article |
| 14 Feb 2023
| 14 Feb 2023
Geomorphological landslide inventory map of the Daunia Apennines, southern Italy
Francesca Ardizzone
CNR – IRPI, Via della Madonna Alta 126, 06128, Perugia, Italy
Francesco Bucci
CNR – IRPI, Via della Madonna Alta 126, 06128, Perugia, Italy
Mauro Cardinali
CORRESPONDING AUTHOR
CNR – IRPI, Via della Madonna Alta 126, 06128, Perugia, Italy
Federica Fiorucci
CNR – IRPI, Via della Madonna Alta 126, 06128, Perugia, Italy
Luca Pisano
CNR – IRPI, Via Amendola 122, 70126, Bari, Italy
Michele Santangelo
CNR – IRPI, Via della Madonna Alta 126, 06128, Perugia, Italy
Veronica Zumpano
CNR – IRPI, Via Amendola 122, 70126, Bari, Italy
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Cited
17 citations as recorded by crossref.
- 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. https://doi.org/10.1016/j.geomorph.2024.109176
- Bridging the Gap Between Active Faulting and Deformation Across Normal-Fault Systems in the Central–Southern Apennines (Italy): Multi-Scale and Multi-Source Data Analysis M. Battistelli et al. https://doi.org/10.3390/rs17142491
- Lithological, geomorphological and tectonic control on landslide processes in Southern Italy: insights from a regional inventory and metrics of landscape evolution D. Gioia et al. https://doi.org/10.1007/s11069-026-08389-y
- Multi-temporal morphological analysis coupled to seismic survey of a mass movement from southern Italy: a combined tool to unravel the history of complex slow-moving landslides D. Gioia et al. https://doi.org/10.1007/s11069-024-06751-6
- RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna meteorological event M. Berti et al. https://doi.org/10.5194/essd-17-1055-2025
- Enhancing machine learning-based gully erosion susceptibility modeling using a prediction-oriented spatial cross-validation framework E. Mekonnen et al. https://doi.org/10.1016/j.envc.2026.101418
- New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization M. Cignetti et al. https://doi.org/10.3390/rs17040581
- Revitalization Potential of Marginal Areas for Sustainable Rural Development in the Puglia Region, Southern Italy: Part I: A Review S. Alhajj Ali et al. https://doi.org/10.3390/agronomy14030431
- A geodatabase of historical landslide events occurring in the highly urbanized volcanic area of Campi Flegrei, Italy G. Esposito & F. Matano https://doi.org/10.5194/essd-15-1133-2023
- Moving beyond single slope quantitative analysis: A 3D slope stability assessment at urban scale A. Ugenti et al. https://doi.org/10.1016/j.enggeo.2024.107841
- Sustainable Landslide Risk Assessment in Zonguldak Province Using AHP and Artificial Intelligence: Integration with InSAR and Inventory Data S. Kutoglu & D. Arca https://doi.org/10.3390/su18094263
- Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al. https://doi.org/10.1016/j.gsf.2026.102295
- Size scaling of large landslides from incomplete inventories O. Korup et al. https://doi.org/10.5194/nhess-24-3815-2024
- LMHLD: A Large-Scale Multisource High-Resolution Landslide Dataset for Landslide Detection Based on Deep Learning G. Liu et al. https://doi.org/10.1109/TGRS.2025.3619062
- Regional probabilistic modeling of required slope resistance to co-seismic failure including site amplification effects P. Capone et al. https://doi.org/10.1016/j.enggeo.2026.108986
- Landslide susceptibility zoning through physically-based limit equilibrium method modelling F. Mevoli et al. https://doi.org/10.1016/j.catena.2025.109726
- The multi-temporal landslide inventory map of the Collazzone study area, central Italy F. Ardizzone et al. https://doi.org/10.5194/essd-18-5545-2026
17 citations as recorded by crossref.
- 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. https://doi.org/10.1016/j.geomorph.2024.109176
- Bridging the Gap Between Active Faulting and Deformation Across Normal-Fault Systems in the Central–Southern Apennines (Italy): Multi-Scale and Multi-Source Data Analysis M. Battistelli et al. https://doi.org/10.3390/rs17142491
- Lithological, geomorphological and tectonic control on landslide processes in Southern Italy: insights from a regional inventory and metrics of landscape evolution D. Gioia et al. https://doi.org/10.1007/s11069-026-08389-y
- Multi-temporal morphological analysis coupled to seismic survey of a mass movement from southern Italy: a combined tool to unravel the history of complex slow-moving landslides D. Gioia et al. https://doi.org/10.1007/s11069-024-06751-6
- RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna meteorological event M. Berti et al. https://doi.org/10.5194/essd-17-1055-2025
- Enhancing machine learning-based gully erosion susceptibility modeling using a prediction-oriented spatial cross-validation framework E. Mekonnen et al. https://doi.org/10.1016/j.envc.2026.101418
- New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization M. Cignetti et al. https://doi.org/10.3390/rs17040581
- Revitalization Potential of Marginal Areas for Sustainable Rural Development in the Puglia Region, Southern Italy: Part I: A Review S. Alhajj Ali et al. https://doi.org/10.3390/agronomy14030431
- A geodatabase of historical landslide events occurring in the highly urbanized volcanic area of Campi Flegrei, Italy G. Esposito & F. Matano https://doi.org/10.5194/essd-15-1133-2023
- Moving beyond single slope quantitative analysis: A 3D slope stability assessment at urban scale A. Ugenti et al. https://doi.org/10.1016/j.enggeo.2024.107841
- Sustainable Landslide Risk Assessment in Zonguldak Province Using AHP and Artificial Intelligence: Integration with InSAR and Inventory Data S. Kutoglu & D. Arca https://doi.org/10.3390/su18094263
- Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al. https://doi.org/10.1016/j.gsf.2026.102295
- Size scaling of large landslides from incomplete inventories O. Korup et al. https://doi.org/10.5194/nhess-24-3815-2024
- LMHLD: A Large-Scale Multisource High-Resolution Landslide Dataset for Landslide Detection Based on Deep Learning G. Liu et al. https://doi.org/10.1109/TGRS.2025.3619062
- Regional probabilistic modeling of required slope resistance to co-seismic failure including site amplification effects P. Capone et al. https://doi.org/10.1016/j.enggeo.2026.108986
- Landslide susceptibility zoning through physically-based limit equilibrium method modelling F. Mevoli et al. https://doi.org/10.1016/j.catena.2025.109726
- The multi-temporal landslide inventory map of the Collazzone study area, central Italy F. Ardizzone et al. https://doi.org/10.5194/essd-18-5545-2026
Saved (final revised paper)
Latest update: 12 Sep 2026
Short summary
This paper presents a new geomorphological landslide inventory map for the Daunia Apennines, southern Italy. It was produced through the interpretation of two sets of stereoscopic aerial photographs, taken in 1954/55 and 2003, and targeted field checks. The inventory contains 17 437 landslides classified according to relative age, type of movement, and estimated depth. The dataset consists of a digital archive publicly available at https://doi.org/10.1594/PANGAEA.942427.
This paper presents a new geomorphological landslide inventory map for the Daunia Apennines,...
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