A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series
AAJ Deijns, D Michéa, A Déprez, JP Malet… - ISPRS Journal of …, 2024 - Elsevier
Landslides and flash floods are geomorphic hazards (GH) that often co-occur and interact
and frequently lead to societal and environmental impact. The compilation of detailed multi …
and frequently lead to societal and environmental impact. The compilation of detailed multi …
Analysis of the Role of Precipitation and Land Use on the Size of the Source Area of Shallow Landslides
Rainfall-induced shallow landslides cause damage to human activities and
infrastructureseach year, and although the size of a landslide correlates to the damage that it …
infrastructureseach year, and although the size of a landslide correlates to the damage that it …
A high-precision oasis dataset for China from remote sensing images
High-resolution oasis maps are imperative for understanding ecological and socio-
economic development of arid regions. However, due to the late establishment and …
economic development of arid regions. However, due to the late establishment and …
Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments
RM Cavalli, L Pisano, F Fiorucci… - Remote …, 2024 - search.proquest.com
Remote images are useful tools for detecting and monitoring landslides, including shallow
landslides in agricultural environments. However, the use of non-commercial satellite …
landslides in agricultural environments. However, the use of non-commercial satellite …
[HTML][HTML] Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods
AA Chrysafi, P Tsangaratos, I Ilia, W Chen - Land, 2024 - mdpi.com
The rapid detection of landslide phenomena that may be triggered by extreme rainfall events
is a critical point concerning timely response and the implementation of mitigation measures …
is a critical point concerning timely response and the implementation of mitigation measures …
Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi
Landslide event inventories are one of the most critical datasets to increase knowledge on
landslide occurrences. However, they are rarely available in various regions, especially in …
landslide occurrences. However, they are rarely available in various regions, especially in …
[HTML][HTML] The unsuPervised shAllow laNdslide rapiD mApping: PANDA method applied to severe rainfalls in northeastern appenine (Italy)
Shallow landslides, frequently triggered by extreme events such as heavy rainfall, snowmelt,
or earthquakes, affect vast areas with remarkable density. In the immediate aftermath of such …
or earthquakes, affect vast areas with remarkable density. In the immediate aftermath of such …
Geoai for disaster mitigation: Fire severity prediction models using sentinel-2 and ann regression
Wildfire is a common disaster that hits Indonesia every dry season, especially on the islands
of Kalimantan and Sumatra. In order to reduce the impact of fire hazards, preventive …
of Kalimantan and Sumatra. In order to reduce the impact of fire hazards, preventive …
Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …
landscapes, infrastructure, and human life. Triggered by factors such as intense …
Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters
L Chen, X Xiang, H Wen, J Xiao, C Song… - … , Natural Hazards and …, 2024 - Taylor & Francis
Automatic detection of the heavy rainfall-induced landslide clusters based on optical remote
sensing images had low accuracy due to the interference of many features. This work …
sensing images had low accuracy due to the interference of many features. This work …