[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] A mechanistic approach to include climate change and unplanned urban sprawl in landslide susceptibility maps
E Bozzolan, EA Holcombe, F Pianosi… - Science of the total …, 2023 - Elsevier
Empirical evidence shows that climate, deforestation and informal housing (ie unregulated
construction practices typical of fast-growing developing countries) can increase landslide …
construction practices typical of fast-growing developing countries) can increase landslide …
[HTML][HTML] Seismically induced rockfall hazard from a physically based model and ground motion scenarios in Italy
The majority of landslide susceptibility and hazard zonations are implemented with statistical
methods, especially on large scales: mostly because the data needed for physical …
methods, especially on large scales: mostly because the data needed for physical …
Influence of landslide inventory timespan and data selection on slope unit-based susceptibility models
Key advantages of modelling landslide susceptibility at the level of slope units—
homogeneous landscape elements bound by drainage and divide lines—instead of grid …
homogeneous landscape elements bound by drainage and divide lines—instead of grid …
Rockfall susceptibility along Pasang Lhamu and Galchhi-Rasuwagadhi highways, Rasuwa, Central Nepal
The road network in Central Nepal suffered blockades and damage from numerous
landslides and rockfalls due to the earthquake sequence in Gorkha, Nepal, in 2015 …
landslides and rockfalls due to the earthquake sequence in Gorkha, Nepal, in 2015 …
[HTML][HTML] Towards physics-informed neural networks for landslide prediction
A Dahal, L Lombardo - Engineering Geology, 2024 - Elsevier
For decades, solutions to regional scale landslide prediction have mostly relied on data-
driven models, by definition, disconnected from the physics of the failure mechanism. The …
driven models, by definition, disconnected from the physics of the failure mechanism. The …
[HTML][HTML] Distribution-agnostic landslide hazard modelling via Graph Transformers
In statistical applications, choosing a suitable data distribution or likelihood that matches the
nature of the response variable is required. To spatially predict the planimetric area of a …
nature of the response variable is required. To spatially predict the planimetric area of a …
[HTML][HTML] On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
N Wang, H Zhang, A Dahal, W Cheng, M Zhao… - Geoscience …, 2024 - Elsevier
Hydro-morphological processes (HMP, any natural phenomenon contained within the
spectrum defined between debris flows and flash floods) are globally occurring natural …
spectrum defined between debris flows and flash floods) are globally occurring natural …
Uncertainties of landslide susceptibility prediction: influences of different study area scales and mapping unit scales
This study aims to investigate the effects of different mapping unit scales and study area
scales on the uncertainty rules of landslide susceptibility prediction (LSP). To illustrate …
scales on the uncertainty rules of landslide susceptibility prediction (LSP). To illustrate …
Identifying the Optimal Area Threshold of Mapping Units for Cultural Ecosystem Services in a River Basin
Y Li, J Huang, Y Wang - Land, 2024 - mdpi.com
Mapping cultural ecosystem services (CES) in river basins is crucial for spatially identifying
areas that merit conservation due to their significant CES contributions. However, precise …
areas that merit conservation due to their significant CES contributions. However, precise …