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] Rapid map** of landslides induced by heavy rainfall in the Emilia-Romagna (Italy) region in may 2023
Heavy rainfall is a major factor for landslide triggering. Here, we present an inventory of
47,523 landslides triggered by two precipitation episodes that occurred in May 2023 in the …
47,523 landslides triggered by two precipitation episodes that occurred in May 2023 in the …
Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall
Monsoon rainfall triggers hundreds of landslides across Nepal every year, causing
significant hazard and mass wasting. Annual inventories of these landslides have been …
significant hazard and mass wasting. Annual inventories of these landslides have been …
Brief Communication: AI-driven rapid landslides map** following the 2024 Hualien City Earthquake in Taiwan
On April 2 nd, 2024, a Mw 7.4 earthquake struck Taiwan's eastern coast, triggering
numerous landslides and severely impacting infrastructure. To create the preliminary …
numerous landslides and severely impacting infrastructure. To create the preliminary …
Landslide map** from Sentinel-2 imagery through change detection
Landslides are one of the most critical and destructive geohazards. Widespread
development of human activities and settlements combined with the effects of climate …
development of human activities and settlements combined with the effects of climate …
Applications of Artificial Intelligence (AI) Techniques on Remote Sensing Data for Ground Failure Detection, Mobility Assessment, and Infrastructure Monitoring
JR Huang - 2024 - search.proquest.com
This dissertation incorporates artificial intelligence (AI) techniques on remote-sensing data
for ground failure detection, mobility assessment, and infrastructure monitoring. First, the use …
for ground failure detection, mobility assessment, and infrastructure monitoring. First, the use …
Sentinel-1 SAR-based Globally Distributed Landslide Detection by Deep Neural Networks
Efficient response to large and widespread multiple landslide events (MLEs) demands rapid
and effective landslide detection. Despite extensive efforts using optical remotely sensed …
and effective landslide detection. Despite extensive efforts using optical remotely sensed …
Proactive Landslide Risk Management Using Regional Lidar Change Detection
The occurrence or reactivation and acceleration of landslides can occur unannounced and
can result in significant impacts to life, property, or the environment. The processes of slope …
can result in significant impacts to life, property, or the environment. The processes of slope …