Low-cost sensor-based and LoRaWAN opportunities for landslide monitoring systems on IoT platform: a review

S Bagwari, A Gehlot, R Singh, N Priyadarshi… - IEEE …, 2021 - ieeexplore.ieee.org
Landslides are a frequent natural hazard during the rainy season, causing infrastructural
and economic damage globally. Several studies on landslide monitoring techniques have …

[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 …

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

A Trigila, C Iadanza, C Esposito… - Geomorphology, 2015 - Elsevier
The aim of this work is to define reliable susceptibility models for shallow landslides using
Logistic Regression and Random Forests multivariate statistical techniques. The study area …

Spaceborne, UAV and ground-based remote sensing techniques for landslide map**, monitoring and early warning

N Casagli, W Frodella, S Morelli, V Tofani… - Geoenvironmental …, 2017 - Springer
Background The current availability of advanced remote sensing technologies in the field of
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …

[HTML][HTML] Rainfall thresholds for possible landslide occurrence in Italy

S Peruccacci, MT Brunetti, SL Gariano, M Melillo… - Geomorphology, 2017 - Elsevier
The large physiographic variability and the abundance of landslide and rainfall data make
Italy an ideal site to investigate variations in the rainfall conditions that can result in rainfall …

Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022

M Santangelo, O Althuwaynee, M Alvioli, F Ardizzone… - Scientific data, 2023 - nature.com
Systematic and timely documentation of triggered (ie event) landslides is fundamental to
build extensive datasets worldwide that may help define and/or validate trends in response …

The influence of land use change on landslide susceptibility zonation: the Briga catchment test site (Messina, Italy)

P Reichenbach, C Busca, AC Mondini… - Environmental …, 2014 - Springer
The spatial distribution of landslides is influenced by different climatic conditions and
environmental settings including topography, morphology, hydrology, lithology, and land …

Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory map**

L Kusak, FB Unel, A Alptekin, MO Celik… - Open Geosciences, 2021 - degruyter.com
In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was
created and the pre-landslide conditions of the region were evaluated with traditional …

[HTML][HTML] Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis

L Hao, A Rajaneesh, C Van Westen… - … system science data, 2020 - essd.copernicus.org
Event-based landslide inventories are important for analyzing the relationship between the
intensity of the trigger (eg, rainfall, earthquake) and the density of the landslides in a …

Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022

M Donnini, M Santangelo, SL Gariano, F Bucci… - Landslides, 2023 - Springer
Timely and systematic collection of landslide information after a triggering event is pivotal for
the definition of landslide trends in response to climate change. On September 15, 2022, a …