Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ensuring sustainable management of soil erosion is of utmost importance to prevent its
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …
Performance comparison of landslide susceptibility mapping under multiple machine-learning based models considering InSAR deformation: a case study of the …
Landslide susceptibility mapping (LSM) comprehensively evaluates the spatial probability of
landslide occurrence by using different environmental factors. However, most of the …
landslide occurrence by using different environmental factors. However, most of the …
[HTML][HTML] Examining the spatially varying relationships between landslide susceptibility and conditioning factors using a geographical random forest approach: A case …
Landslide susceptibility assessment is an important means of helping to reduce and
manage landslide risk. The existing studies, however, fail to examine the spatially varying …
manage landslide risk. The existing studies, however, fail to examine the spatially varying …
Assessing effectiveness of a dual-barrier system for mitigating granular flow hazards through DEM-DNN framework
Constructing multiple-barrier systems is efficient in mitigating flow-like geological hazards
and potentially serves as an optimal solution to protect the heavily threatened …
and potentially serves as an optimal solution to protect the heavily threatened …
Bivariate landslide susceptibility analysis: clarification, optimization, open software, and preliminary comparison
Bivariate data-driven methods have been widely used in landslide susceptibility analysis.
However, the names, principles, and correlations of bivariate methods are still confused. In …
However, the names, principles, and correlations of bivariate methods are still confused. In …
[HTML][HTML] Landslide identification and gradation method based on statistical analysis and spatial cluster analysis
H Dai, H Zhang, H Dai, C Wang, W Tang, L Zou… - Remote Sensing, 2022 - mdpi.com
As a type of earth observation technology, interferometric synthetic aperture radar (InSAR) is
increasingly widely used in the field of geological disaster detection. However, the …
increasingly widely used in the field of geological disaster detection. However, the …
Improving landslide prediction by computer vision and deep learning
B Guerrero-Rodriguez… - Integrated …, 2023 - journals.sagepub.com
The destructive power of a landslide can seriously affect human beings and infrastructures.
The prediction of this phenomenon is of great interest; however, it is a complex task in which …
The prediction of this phenomenon is of great interest; however, it is a complex task in which …
Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section
J Chen, H Gao, L Han, R Yu, G Mei - Sensors, 2023 - mdpi.com
Glacial debris flow is a common natural disaster, and its frequency has been increasing in
recent years due to the continuous retreat of glaciers caused by global warming. To reduce …
recent years due to the continuous retreat of glaciers caused by global warming. To reduce …
Formation mechanism and evolution of the Jiaju landslide in the Dadu River, China
Y Bai, Y Tie, J Wang, X Xiong, H Ge - Bulletin of Engineering Geology and …, 2024 - Springer
The Jiaju landslide is a large soil‒rock palaeolandslide in the Danba section of the Upper
Dadu River in southwestern Sichuan Province, China. In this work, geological investigations …
Dadu River in southwestern Sichuan Province, China. In this work, geological investigations …
Long-term prediction for railway track geometry based on an optimised DNN method
L Han, Y Liao, H Wang, H Zhang - Construction and Building Materials, 2023 - Elsevier
Railway transportation becomes increasingly important due to the rapidly emerging needs of
global trade, environmental protection, and high oil costs. Thus, railway infrastructure …
global trade, environmental protection, and high oil costs. Thus, railway infrastructure …