Landslide map** with remote sensing: challenges and opportunities

C Zhong, Y Liu, P Gao, W Chen, H Li… - … Journal of Remote …, 2020 - Taylor & Francis
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 …

Deep learning based landslide detection using open-source resources: Opportunities and challenges

S Das, P Sharma, A Pain, DP Kanungo… - Earth Science …, 2023 - Springer
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 …

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 …

[HTML][HTML] A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence

CVL Pennington, R Bossu, F Ofli, M Imran… - International Journal of …, 2022 - Elsevier
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 …

Landslide map** using two main deep-learning convolution neural network streams combined by the Dempster–Shafer model

O Ghorbanzadeh, SR Meena… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
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 …

Detecting coseismic landslides in GEE using machine learning algorithms on combined optical and radar imagery

S Peters, J Liu, G Keppel, A Wendleder, P Xu - Remote Sensing, 2024 - mdpi.com
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
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

H Huang, MR Fischella, Y Liu, Z Ban… - Geophysical …, 2022 - Wiley Online Library
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 …

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 …

[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 …

J Jelenek, V Kopačková-Strnadová - Remote Sensing of Environment, 2021 - Elsevier
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 …

[HTML][HTML] Applying rainfall threshold estimates and frequency ratio model for landslide hazard assessment in the coastal mountain setting of South Asia

A Alam, B Ahmed, P Sammonds… - Natural Hazards Research, 2023 - Elsevier
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 …