Mapping landslide phenomena in landlocked developing countries by means of satellite remote sensing data: the case of Dilijan (Armenia) area

Autor: Silvia Bianchini, Federico Raspini, Andrea Ciampalini, Daniela Lagomarsino, Marco Bianchi, Fernando Bellotti, Nicola Casagli

Publikováno v: Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 225-241 (2017)

Landslide detection and mapping are essential issues for reducing impact of such natural disasters, and for improving the future built-up expansion and planning strategies, especially in developing countries where a reasonable land-use design is an i

Externí odkaz: https://doaj.org/article/f7de505d359a4af49b835e03e0497c49

Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy)

Autor: Danilo Godone, Martina Cignetti, Paolo Allasia, A. Pozzoli, Francesco Bucci, Michele Santangelo, E. Norelli, Daniela Lagomarsino, Daniele Giordan, Francesca Ardizzone, Mauro Cardinali, D. Notti, Federica Fiorucci

Publikováno v: Journal of Maps, Vol 17, Iss 2, Pp 376-388 (2021)
Journal of maps 17 (2021): 376–388. doi:10.1080/17445647.2021.1943552
info:cnr-pdr/source/autori:Bucci F.; Santangelo M.; Fiorucci F.; Ardizzone F.; Giordan D.; Cignetti M.; Notti D.; Allasia P.; Godone D.; Lagomarsino D.; Pozzoli A.; Norelli E.; Cardinali M./titolo:Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy)/doi:10.1080%2F17445647.2021.1943552/rivista:Journal of maps/anno:2021/pagina_da:376/pagina_a:388/intervallo_pagine:376–388/volume:17

Landslide inventories provide the knowledge basis for many geomorphological applications and also planning and emergency management. Detailed landslide inventories should also be prepared where pre-existing inventories are available, as knowledge upd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d42fb755603a73436b81253abc54cc1f

Validation of landslide hazard models using a semantic engine on online news

Autor: Alessandro Battistini, Ascanio Rosi, Samuele Segoni, Daniela Lagomarsino, Nicola Casagli, Filippo Catani

Publikováno v: Applied Geography. 82:59-65

The objective of this work is twofold: (i) automatically setting up a landslide inventory using a state-of-the art semantic engine based on data mining on online news and (ii) evaluating if the automatically generated inventory can be used to validat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::976e0232abd1f5ae21937ec55e60ea8f
https://doi.org/10.1016/j.apgeog.2017.03.003

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Autor: Sandro Moretti, Daniela Lagomarsino, Samuele Segoni, Nicola Casagli, Filippo Catani, Guglielmo Rossi, Alessandro Battistini, Ascanio Rosi

Publikováno v: Natural Hazards and Earth System Sciences, Vol 15, Iss 4, Pp 853-861 (2015)

We set up an early warning system for rainfall-induced landslides in Tuscany (23 000 km2). The system is based on a set of state-of-the-art intensity-duration rainfall thresholds (Segoni et al., 2014b), makes use of LAMI rainfall forecasts and real-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ffcaf779d6d0ecb325489b19277419
https://www.nat-hazards-earth-syst-sci.net/15/853/2015/

Brief communication: Using punctual soil moisture estimates to improve the performances of a regional scale landslide early warning system

Autor: Samuele Segoni, Ascanio Rosi, Daniela Lagomarsino, Riccardo Fanti, Nicola Casagli

We improved a state-of-art RSLEWS (regional scale landslide early warning system) based on rainfall thresholds by integrating punctual soil moisture estimates. We tested two approaches. The simplest can be easily applied to improve other RSLEWS: it i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::facff3ad042b9cdafb9dce55af2f7e38
https://doi.org/10.5194/nhess-2017-361