[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment
The level of destruction caused by an earthquake depends on a variety of factors, such as
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)
Earthquakes and heavy rainfalls are the two leading causes of landslides around the world.
Since they often occur across large areas, landslide detection requires rapid and reliable …
Since they often occur across large areas, landslide detection requires rapid and reliable …
Rapid mapping of landslides on SAR data by attention U-Net
Multiple landslide events are common around the globe. They can cause severe damage to
both human lives and infrastructures. Although a huge quantity of research has been …
both human lives and infrastructures. Although a huge quantity of research has been …
The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images
Landslide detection is a hot topic in the remote sensing community, particularly with the
current rapid growth in volume (and variety) of Earth observation data and the substantial …
current rapid growth in volume (and variety) of Earth observation data and the substantial …
Landslide susceptibility zonation of Idukki district using GIS in the aftermath of 2018 Kerala floods and landslides: a comparison of AHP and frequency ratio methods
AV Thomas, S Saha, JH Danumah… - … of Geovisualization and …, 2021 - Springer
This study aims to demarcate landslide susceptible zones using methods of analytical
hierarchy process (AHP) and frequency ratio (FR) to find the most influencing factors and to …
hierarchy process (AHP) and frequency ratio (FR) to find the most influencing factors and to …
Improving landslide detection on SAR data through deep learning
In this letter, we use deep learning convolutional neural networks (CNNs) to compare the
landslide mapping and classification performances of optical images (from Sentinel-2) and …
landslide mapping and classification performances of optical images (from Sentinel-2) and …
Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions
Remote reconnaissance missions are promising solutions for the assessment of earthquake-
induced structural damage and cascading geological hazards. Space-borne remote sensing …
induced structural damage and cascading geological hazards. Space-borne remote sensing …
Matrix SegNet: a practical deep learning framework for landslide mapping from images of different areas with different spatial resolutions
Practical landslide inventory maps covering large-scale areas are essential in emergency
response and geohazard analysis. Recently proposed techniques in landslide detection …
response and geohazard analysis. Recently proposed techniques in landslide detection …
Active-learning approaches for landslide mapping using support vector machines
Z Wang, A Brenning - Remote Sensing, 2021 - mdpi.com
Ex post landslide mapping for emergency response and ex ante landslide susceptibility
modelling for hazard mitigation are two important application scenarios that require the …
modelling for hazard mitigation are two important application scenarios that require the …