[HTML][HTML] Geographical landslide early warning systems

F Guzzetti, SL Gariano, S Peruccacci, MT Brunetti… - Earth-Science …, 2020 - Elsevier
The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …

Relations between climate change and mass movement: Perspectives from the Canadian Cordillera and the European Alps

M Chiarle, M Geertsema, G Mortara… - Global and Planetary …, 2021 - Elsevier
Earth's climate is warming and will continue to warm as the century progresses. High
mountains and high latitudes are experiencing the greatest warming of all regions on Earth …

Map** landslides on EO data: Performance of deep learning models vs. traditional machine learning models

N Prakash, A Manconi, S Loew - Remote Sensing, 2020 - mdpi.com
Map** landslides using automated methods is a challenging task, which is still largely
done using human efforts. Today, the availability of high-resolution EO data products is …

[HTML][HTML] SM2RAIN–ASCAT (2007–2018): Global daily satellite rainfall data from ASCAT soil moisture observations

L Brocca, P Filippucci, S Hahn… - Earth System …, 2019 - essd.copernicus.org
Long-term gridded precipitation products are crucial for several applications in hydrology,
agriculture and climate sciences. Currently available precipitation products suffer from space …

Evaluation of 23 gridded precipitation datasets across West Africa

F Satgé, D Defrance, B Sultan, MP Bonnet, F Seyler… - Journal of …, 2020 - Elsevier
This study aims reporting on 23 gridded precipitation datasets (P-datasets) reliability across
West Africa through direct comparisons with rain gauges measurement at the daily and …

Landslide detection based on ResU-Net with transformer and CBAM embedded: Two examples with geologically different environments

Z Yang, C Xu, L Li - Remote Sensing, 2022 - mdpi.com
An efficient method of landslide detection can provide basic scientific data for emergency
command and landslide susceptibility map**. Compared to a traditional landslide …

How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering?

SL Gariano, M Melillo, S Peruccacci, MT Brunetti - Natural Hazards, 2020 - Springer
In many areas of the world, the prediction of rainfall-induced landslides is usually carried out
by means of empirical rainfall thresholds. Their definition is complicated by several issues …

Convolutional neural networks applied to semantic segmentation of landslide scars

L Bragagnolo, LR Rezende, RV Da Silva… - Catena, 2021 - Elsevier
Landslides are considered to be among the most alarming natural hazards. Therefore, there
is a growing demand for databases and inventories of these events worldwide, since they …

Shallow landslides and vegetation at the catchment scale: A perspective

C Phillips, T Hales, H Smith, L Basher - Ecological Engineering, 2021 - Elsevier
Shallow, rainfall-triggered landslides are an important catchment process that affect the rate
and calibre of sediment within river networks and create a significant hazard, particularly …

Spatio-temporal assessment of Gridded precipitation products across topographic and climatic gradients in Colombia

S Valencia, DE Marín, D Gómez, N Hoyos… - Atmospheric …, 2023 - Elsevier
Gridded precipitation products (GPPs) represent an alternative to and a complement to
gauge-based observations of precipitation, improving the representation of spatio-temporal …