[HTML][HTML] A benchmark dataset and workflow for landslide susceptibility zonation
Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific
geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As …
geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As …
Tempo-spatial landslide susceptibility assessment from the perspective of human engineering activity
T Zeng, Z Guo, L Wang, B **, F Wu, R Guo - Remote Sensing, 2023 - mdpi.com
The expansion of mountainous urban areas and road networks can influence the terrain,
vegetation, and material characteristics, thereby altering the susceptibility of landslides …
vegetation, and material characteristics, thereby altering the susceptibility of landslides …
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: a critical inquiry
T Zeng, B **, T Glade, Y **_of_Western_Rwanda_an_integrated_artificial_neural_network_frequency_ratio_and_Shannon_entropy_approach/links/64f092ce4a2a2214db29313a/GIS-based-landslide-susceptibility-map**-of-Western-Rwanda-an-integrated-artificial-neural-network-frequency-ratio-and-Shannon-entropy-approach.pdf" data-clk="hl=en&sa=T&oi=gga&ct=gga&cd=3&d=12144874450156514206&ei=ZJelZ-rcAuzDieoP8OWSmAM" data-clk-atid="nutLU_dCi6gJ" target="_blank">[PDF] researchgate.net
GIS-based landslide susceptibility map** of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
The May 2nd and 3rd, 2023 landslide in Rwanda's Western Province caused a devastating
natural disaster, resulting in the tragic loss of 95 lives. Ngororero, Rubavu, Nyabihu, and …
natural disaster, resulting in the tragic loss of 95 lives. Ngororero, Rubavu, Nyabihu, and …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility map** in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and map** landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
Deep learning powered long-term warning systems for reservoir landslides
Assessing landslide susceptibility using combination models
H Hong - Forest Ecology and Management, 2023 - Elsevier
Assessing and map** 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 …
of landslide disasters. The aim of this paper is to design combination models by combining …
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models …
In landslide susceptibility assessment (LSA), inventory incompleteness impacts the accuracy
of different models to varying degrees. However, this area remains under-researched. This …
of different models to varying degrees. However, this area remains under-researched. This …