Exploring the multiple land degradation pathways across the planet

R Prăvălie - Earth-Science Reviews, 2021 - Elsevier
Land degradation has become one of the biggest environmental challenges human society
is currently facing, which is why understanding the global pattern of this land crisis is …

Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives

M Micu, D Micu, HB Havenith - Geomorphology, 2023 - Elsevier
In seismically-active regions, earthquake-induced landslides (EqIL) are likely to enhance
slope denudation and sediment delivery both over short and longer terms, which might …

Multi-instrumental approach to slope failure monitoring in a landslide susceptible newly built-up area: Topo-Geodetic survey, UAV 3D modelling and ground …

P Sestras, Ș Bilașco, S Roșca, I Veres, N Ilies… - Remote Sensing, 2022 - mdpi.com
Slope failures and landslides cause economic damage and deaths worldwide. These losses
can be minimized by integrating different methodologies, instruments, and data monitoring …

Comparison of tree-structured parzen estimator optimization in three typical neural network models for landslide susceptibility assessment

G Rong, K Li, Y Su, Z Tong, X Liu, J Zhang, Y Zhang… - Remote Sensing, 2021 - mdpi.com
Landslides pose a constant threat to the lives and property of mountain people and may also
cause geomorphological destruction such as soil and water loss, vegetation destruction, and …

Geodetic and UAV monitoring in the sustainable management of shallow landslides and erosion of a susceptible urban environment

P Sestras, Ș Bilașco, S Roșca, B Dudic, A Hysa… - Remote Sensing, 2021 - mdpi.com
Landslides are a worldwide occurring hazard that can produce economic impact and even
fatalities. The collection and monitoring of data regarding active landslides are important for …

Assessing landslide susceptibility using combination models

H Hong - Forest Ecology and Management, 2023 - Elsevier
Assessing and mapping landslide susceptibility is a powerful approach to decrease the cost
of landslide disasters. The aim of this paper is to design combination models by combining …

[PDF][PDF] Bilas, co

P Sestras, T Sălăgean - 2022 - academia.edu
Slope failures and landslides cause economic damage and deaths worldwide. These losses
can be minimized by integrating different methodologies, instruments, and data monitoring …

Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model

S Saha, A Saha, B Roy, R Sarkar, D Bhardwaj… - Earth Science …, 2022 - Springer
Landslide is one of the serious concerns due to which, the safety and sustainability of hilly
areas across the globe, become vulnerable. Therefore, preparing of landslide susceptibility …

Risk factor detection and landslide susceptibility mapping using Geo-Detector and Random Forest Models: The 2018 Hokkaido eastern Iburi earthquake

Y Liu, W Zhang, Z Zhang, Q Xu, W Li - Remote Sensing, 2021 - mdpi.com
Landslide susceptibility mapping is an effective approach for landslide risk prevention and
assessments. The occurrence of slope instability is highly correlated with intrinsic variables …

Graph neural networks with constraints of environmental consistency for landslide susceptibility evaluation

H Zeng, Q Zhu, Y Ding, H Hu, L Chen… - International journal …, 2022 - Taylor & Francis
In complex and heterogeneous geoenvironments, landslides exhibit varying features in
different environments, and data in landslide inventories are imbalanced. Existing data …