The use of UAVs for landslide disaster risk research and disaster risk management: A literature review
On a global scale, from 2005 to 2019, there were 275 high-magnitude, low-frequency
disasters that involved 14,172 fatalities and four million affected people. Similar patterns …
disasters that involved 14,172 fatalities and four million affected people. Similar patterns …
Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques
This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …
have been integrated to assess the landslide risk for slow moving mass movements …
The use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management
The number of scientific studies that consider possible applications of remotely piloted
aircraft systems (RPASs) for the management of natural hazards effects and the …
aircraft systems (RPASs) for the management of natural hazards effects and the …
Monitoring of Maskun landslide and determining its quantitative relationship to different climatic conditions using D-InSAR and PSI techniques
Climate change has resulted in severe landslides in Maskun, Iran. This study evaluates and
monitors the displacement caused by the landslide mass in Bam using Interferometry …
monitors the displacement caused by the landslide mass in Bam using Interferometry …
Geological and geotechnical investigations of the Sataun landslide along the active Sirmauri Tal fault, Sataun, northwestern Himalaya, India
In the present study, the Sataun landslide was investigated along the National Highway-72
(NH-72) between Sirmauri Tal and Sataun towns of the Sirmaur district of Himachal …
(NH-72) between Sirmauri Tal and Sataun towns of the Sirmaur district of Himachal …
High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry
W Zhang, F Gao, N Jiang, C Zhang, Y Zhang - Drones, 2022 - mdpi.com
Traditional forest monitoring has been mainly performed with images or orthoimages from
aircraft or satellites. In recent years, the availability of high-resolution 3D data has made it …
aircraft or satellites. In recent years, the availability of high-resolution 3D data has made it …
A Novel Ground Filtering Method for Point Clouds in a Forestry Area Based on Local Minimum Value and Machine Learning
Y Wu, M Sang, W Wang - Applied Sciences, 2022 - mdpi.com
Lidar point cloud filtering is the process of separating ground points from non-ground points
and is a particularly important part of point cloud data processing. Forest filtering has always …
and is a particularly important part of point cloud data processing. Forest filtering has always …
Integrated laser scanner techniques to produce high-resolution DTM of vegetated territory
The paper presents the first part of a research project concerning the creation of 3D terrain
models useful to understand landslide movements. Thus, it illustrates the creation process of …
models useful to understand landslide movements. Thus, it illustrates the creation process of …
Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions
K Martínek, K Verner, T Hroch… - … Hazards and Earth …, 2021 - nhess.copernicus.org
The Main Ethiopian Rift (MER), where active continental rifting creates specific conditions for
landslide formation, provides a prospective area to study the influence of tectonics, lithology …
landslide formation, provides a prospective area to study the influence of tectonics, lithology …
[HTML][HTML] Towards automatic delineation of landslide source and runout
Map** landslide-depleted source areas is pivotal for refining predictive models and
volume estimations, yet these critical regions are often conflated with landslide runouts …
volume estimations, yet these critical regions are often conflated with landslide runouts …