Geomorphology Research Group @ CNR IRPI Perugia
https://geomorphology.irpi.cnr.it
Un programma di calcolo per la determinazione dei parametri statistici relativi a distribuzioni di dati proiettati su reticolo di Schmidt (Geo1)
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/1986/un-programma-di-calcolo-per-la-determinazione-dei-parametri-statistici-relativi-a-distribuzioni-di-dati-proiettati-su-reticolo-di-schmidt-geo1
Minelli G., Barchi M., Guzzetti F. (1986) Un programma di calcolo per la determinazione dei parametri statistici relativi a distribuzioni di dati proiettati su reticolo di Schmidt (Geo1). Bollettino della Società Geologica Italiana, (ora Italian Journal of Geosciences), Vol. 105: 1-2, 123-130.No publisher1986JournalGeology2001/01/01 00:00:00 GMT+1LinkTopography-driven satellite imagery analysis for landslide mapping
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2018/topography-driven-satellite-imagery-analysis-for-landslide-mapping
Alvioli M., Mondini A.C., Fiorucci F., Cardinali M., Marchesini I. (2018). Topography-driven satellite imagery analysis for landslide mapping. Geomatics, Natural Hazards and Risk, 9:1, 544-567. https://doi.org/10.1080/19475705.2018.1458050No publisher2018GISMynamarLANDSLIPslope unitsmappingremote sensingeventgeomorphologygeomorphometryJournal2018/04/13 10:45:00 GMT+1LinkLandslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/landslides-triggered-by-an-extraordinary-rainfall-event-in-central-italy-on-september-15-2022
Donnini, M., Santangelo, M., Gariano, S. L., Bucci, F., Peruccacci, S., Alvioli, M., Althuwaynee, O., Ardizzone, F., Bianchi, C., Bornaetxea, T., Brunetti, M. T. , Cardinali, M., Esposito, G., Grita, S., Marchesini, I., Melillo, M., Salvati, P. , Yazdani, M., Fiorucci, F. (2023). Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022. Landslides (2023). https://doi.org/10.1007/s10346-023-02109-4No publisher2023JournalItalyUmbriaMarcheLandslidesRainfall EventRainfall extremesLandslide-Mapping2023/07/14 18:21:12 GMT+1LinkLand surface diversity: a geomorphodiversity index of Italy
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2023/land-surface-diversity-a-geomorphodiversity-index-of-italy
Burnelli, M., Melelli, L., Alvioli, M. (2023). Land surface diversity: a geomorphodiversity index of Italy. Earth Surface Processes and Landforms (accepted 2023). https://doi.org/10.1002/esp.5679No publisher2023JournalItalyGeomorphologyGeomorphometryGeologyLandformsLithologyGeodiversityClassification2023/07/22 23:00:00 GMT+1LinkDetermination of Empirical Rainfall Thresholds for Shallow Landslides in Slovenia Using an Automatic Tool
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2020/determination-of-empirical-rainfall-thresholds-for-shallow-landslides-in-slovenia-using-an-automatic-tool
Article entitled "Determination of Empirical Rainfall Thresholds for Shallow Landslides in Slovenia Using an Automatic Tool" by Galena Jordanova, Stefano Luigi Gariano, Massimo Melillo, Silvia Peruccacci, Maria Teresa Brunetti, Mateja Jemec Auflič published on the journal Water Water 2020, 12(5), 1449; https://doi.org/10.3390/w12051449No publisher2020JournalRainfall thresholdsSloveniaCTRL-Tmean annual rainfalllithologyshallow landslides2020/05/20 10:15:50 GMT+1LinkRockfall susceptibility and network-ranked susceptibility along the Italian railway
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2021/rockfall-susceptibility-and-network-ranked-susceptibility-along-the-italian-railway
Alvioli, M., Santangelo, M., Fiorucci, F., Cardinali, M., Marchesini, I., Reichenbach, P., Rossi, M., Guzzetti, F., Peruccacci, S. 2021. Rockfall susceptibility and network-ranked susceptibility along the Italian railway. Engineering Geology 293, 106301. https://doi.org/10.1016/j.enggeo.2021.106301No publisherJournalSTONELandslide-RockfallRockfall-Hazard-RiskRailwayItalyNationalPhysically-based2021/07/30 13:35:00 GMT+1LinkInfluence of the neutron-skin effect on nuclear isobar collisions at RHIC
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2020/influence-of-the-neutron-skin-effect-on-nuclear-isobar-collisions-at-rhic
Hammelmann, J., Soto-Ontoso, A., Alvioli, M., Helfner, H., Strikman, M., (2020). Influence of the neutron-skin effect on nuclear isobar collisions at RHIC. Physical Review C 101, 061901(R). https://doi.org/10.1103/PhysRevC.101.061901No publisher2020JournalPhysics2020/06/29 23:00:00 GMT+1LinkPreparing first-time slope failures hazard maps: from pixel-based to slope unit-based
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2019/preparing-first-time-slope-failures-hazard-maps-from-pixel-based-to-slope-unit-based
Domenéch, G., Alvioli, M., Corominas, J. (2020). Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based. Landslides 17, 249-265. https://doi.org/10.1007/s10346-019-01279-4No publisherJournalCatalunyaSpainSINMAPPhysically-basedslope unitslandslides20202019/09/05 09:55:00 GMT+1LinkA predictive model of societal landslide risk in Italy
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2019/a-predictive-model-of-societal-landslide-risk-in-italy
Rossi M., Guzzetti F., Salvati P., Donnini M., Napolitano E., Cinzia B. (2019) A predictive model of societal landslide risk in Italy. Earth-Science Reviews 196, 102849, https://doi.org/10.1016/j.earscirev.2019.04.021 application/pdf Rossi-etal-PredictiveModelSocietalLandslideRiskItaly-ESR-2019.pdfNo publisher2019riskItalyLandslide-RiskFatalitiesJournal2019/07/25 08:15:00 GMT+1LinkActivities of the Research Institute for Geo-Hydrological Protection, of the Italian National Research Council, World Centre of Excellence on landslide risk
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2019/activities-of-the-research-institute-for-geo-hydrological-protection-of-the-italian-national-research-council-world-centre-of-excellence-on-landslide-risk
Activities of the Research Institute for Geo-Hydrological Protection, of the Italian National Research Council, World Centre of Excellence on landslide risk, by Fausto Guzzetti and Stefano Luigi Gariano, published on Landslides journalNo publisher2019JournalICLIPLLandslides2019/07/26 10:27:42 GMT+1LinkA review of statistically-based landslide susceptibility models
https://geomorphology.irpi.cnr.it/publications/repository/public/journals/2018/susceptibility_revision_esjr_manuscript.pdf/view
Reichenbach P., Rossi M., Malamud B.D., Mihir M., Guzzetti F. (2018) A review of statistically-based landslide susceptibility models. Earth-Science Reviews 180, 60–91, https://doi.org/10.1016/j.earscirev.2018.03.001.No publisher2018Susceptibility-HazardJournalFileRegional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2020/regional-susceptibility-assessments-with-heterogeneous-landslide-information-slope-unit-vs-pixel-based-approach
Jacobs, L., Kervyn, M., Reichenbach, P., Rossi, M., Marchesini, I., Alvioli, M., Dewitte, O. (2020). Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach. Geomorphology (in press). https://doi.org/10.1016/j.geomorph.2020.107084No publisher2020JournalAfricaRuwenzorislope units2020/02/04 23:00:00 GMT+1LinkCombining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2021/combining-satellite-insar-slope-units-and-finite-element-modeling-for-stability-analysis-in-mining-waste-disposal-areas
López-Vinielles, J., Fernández-Merodo, J.A., Ezquerro, P., García-Davalillo, J. C., Sarro, R., Reyes-Carmona, C., Barra, A., Navarro, J. A., Krishnakumar, V., Alvioli, M., Herrera, G. (2021). Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas. Remote Sensing 13(10) 2008. https://doi.org/10.3390/rs13102008No publisher2021JournalSpainremote sensingslope unitsFEMInSAR2021/05/20 10:45:00 GMT+1LinkA Global Landslide Non-Susceptibility Map
https://geomorphology.irpi.cnr.it/publications/repository/links/journals/2021/a-global-landslide-non-susceptibility-map
Jia, G., Alvioli, M., Gariano, S.L., Marchesini, I., Guzzetti, F., Tang, Q (2021). A Global Landslide Non-Susceptibility Map. Geomorphology (in press) https://doi.org/10.1016/j.geomorph.2021.107804No publisher2021global modelnon-susceptibilityJournal2021/05/25 10:30:00 GMT+1LinkIntroduction to the special issue "Advances in Geomorphometry"
https://geomorphology.irpi.cnr.it/publications/repository/links/editorial-activities/copy_of_introduction-to-the-special-issue-advances-in-geomorphometry
M. Alvioli, I. Marchesini, L. Melelli, P. Guth (2021). Advances in Geomorphometry. Transactions in GIS 25(0), 1-5. http://doi.org/10.1111/tgis.12859No publisher2021geomorphometrygeomorphologydigital elevation modelDEMLIDARLiDARspatial analysisGISJournalEditorial-Activity2021/10/10 11:15:00 GMT+1Link