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.
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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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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The lack of standard for estimating landslide hazard severely impacts practical applications for territorial management. Using a new method, this work highlights the impact of landslide mapping on hazard estimation, focusing on the key role of recognizing and treating complex landslide clusters. While the results encourage future widespread tests and application, they raise questions on the reliability and availability of landslide inventory maps, shedding light on future research needs.
Luca Schilirò, Mauro Rossi, Federica Polpetta, Federica Fiorucci, Carolina Fortunato, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 23, 1789–1804, https://doi.org/10.5194/nhess-23-1789-2023, https://doi.org/10.5194/nhess-23-1789-2023, 2023
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We present a database of the main scientific articles published on earthquake-triggered landslides in the last 4 decades. To enhance data viewing, the articles were catalogued into a web-based GIS, which was specifically designed to show different types of information, such as bibliometric information, the relevant topic and sub-topic category (or categories), and earthquake(s) addressed. Such information can be useful to obtain a general overview of the topic, especially for a broad readership.
Francesco Bucci, Michele Santangelo, Lorenzo Fongo, Massimiliano Alvioli, Mauro Cardinali, Laura Melelli, and Ivan Marchesini
Earth Syst. Sci. Data, 14, 4129–4151, https://doi.org/10.5194/essd-14-4129-2022, https://doi.org/10.5194/essd-14-4129-2022, 2022
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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.
M. Santangelo, L. Zhang, E. Rupnik, M. P. Deseilligny, and M. Cardinali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1085–1092, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022, 2022
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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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