[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory

M Loche, M Alvioli, I Marchesini, H Bakka… - Earth-Science …, 2022 - Elsevier
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …

A contemporary systematic review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication

S Yeşilköy, O Baydaroglu, N Singh… - Environmental …, 2024 - iopscience.iop.org
Hydrometeorological disasters, including floods and droughts, have intensified in both
frequency and severity in recent years. This trend underscores the critical role of timely …

Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models

S Steger, M Moreno, A Crespi… - … Hazards and Earth …, 2022 - nhess.copernicus.org
The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …

From theory to practice: optimisation of available information for landslide hazard assessment in Rome relying on official, fragmented data sources

C Esposito, G Mastrantoni, GM Marmoni, B Antonielli… - Landslides, 2023 - Springer
The definition of landslide hazard is a step-like procedure that encompasses the
quantification of its spatial and temporal attributes, ie, a reliable definition of landslide …

A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods

J Zhu, P Dang, Y Cao, J Lai, Y Guo… - International Journal of …, 2024 - Taylor & Francis
Public's rational flood mitigation behaviors depend on accurate perception of flood risks. The
use of natural language for flood risk perception is an effective approach, and it is critical to …

Tracking a decade of hydrogeological emergencies in Italian municipalities

A Gatto, S Clò, F Martellozzo, S Segoni - Data, 2023 - mdpi.com
This dataset collects tabular and geographical information about all hydrogeological
disasters (landslides and floods) that occurred in Italy from 2013 to 2022 that caused such …

[HTML][HTML] Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)

SR Meena, S Puliero, K Bhuyan… - Natural hazards and …, 2022 - nhess.copernicus.org
In the domain of landslide risk science, landslide susceptibility map** (LSM) is very
important, as it helps spatially identify potential landslide-prone regions. This study used a …

Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

N Nocentini, C Medici, F Barbadori, A Gatto… - Landslides, 2024 - Springer
This study proposes an innovative approach to develop a regional-scale landslide
forecasting model based on rainfall thresholds optimized for operational early warning. In …

Climate change increases the number of landslides at the juncture of the Alpine, Pannonian and Mediterranean regions

M Jemec Auflič, N Bezak, E Šegina, P Frantar… - Scientific reports, 2023 - nature.com
During the next few decades, changes in rainfall frequency and magnitude are expected to
have major impacts on landscape evolution, social, and economic aspects of human society …

[HTML][HTML] Rapid map** of landslides induced by heavy rainfall in the Emilia-Romagna (Italy) region in may 2023

MF Ferrario, F Livio - Remote Sensing, 2023 - mdpi.com
Heavy rainfall is a major factor for landslide triggering. Here, we present an inventory of
47,523 landslides triggered by two precipitation episodes that occurred in May 2023 in the …