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Landslide map** with remote sensing: challenges and opportunities
Landslide map** is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide map** with remote sensing …
both the accuracy and the degree of automation of landslide map** with remote sensing …
Deep learning based landslide detection using open-source resources: Opportunities and challenges
Landslide inventories are important for hazard and risk analysis, as well as in facilitating
post-event recovery efforts. However, preparing these inventories is a time-consuming and …
post-event recovery efforts. However, preparing these inventories is a time-consuming and …
Convolutional neural networks applied to semantic segmentation of landslide scars
L Bragagnolo, LR Rezende, RV Da Silva… - Catena, 2021 - Elsevier
Landslides are considered to be among the most alarming natural hazards. Therefore, there
is a growing demand for databases and inventories of these events worldwide, since they …
is a growing demand for databases and inventories of these events worldwide, since they …
[HTML][HTML] A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence
The development of a system that monitors social media continuously for general landslide-
related content using a landslide classification model to identify and retain the most relevant …
related content using a landslide classification model to identify and retain the most relevant …
Landslide map** using two main deep-learning convolution neural network streams combined by the Dempster–Shafer model
Beyond the direct hazards of earthquakes, the deposited mass of earthquake-induced
landslide (EQIL) in the riverbeds causes the river to thrust upward. The EQIL inventories are …
landslide (EQIL) in the riverbeds causes the river to thrust upward. The EQIL inventories are …
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 …
Changes in mechanisms and characteristics of western US floods over the last sixty years
Climate change is linked to changing precipitation, yet uncertainty remains as to whether
and how hydroclimatic changes will influence flood frequency, magnitude, and timing. Part …
and how hydroclimatic changes will influence flood frequency, magnitude, and timing. Part …
A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series
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 …
[HTML][HTML] Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura …
Earthquakes can trigger numerous landslides and cause other significant changes in the
landscape over large areas. This study presents a new processing scheme combining radar …
landscape over large areas. This study presents a new processing scheme combining radar …
[HTML][HTML] Applying rainfall threshold estimates and frequency ratio model for landslide hazard assessment in the coastal mountain setting of South Asia
Landslides pose a serious risk to life and property in the mountainous regions around the
globe. Understanding the interplay of landslide conditioning and triggering factors is …
globe. Understanding the interplay of landslide conditioning and triggering factors is …