Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

J Dou, AP Yunus, A Merghadi, A Shirzadi… - Science of the total …, 2020 - Elsevier
Predictive capability of landslide susceptibilities is assumed to be varied with different
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …

A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges

M Basharat, MT Riaz, MQ Jan, C Xu, S Riaz - Natural Hazards, 2021 - Springer
It has been 15 years since the catastrophic 2005 Kashmir Mw 7.6 earthquake induced
thousands of landslides in northern Pakistan and Kashmir. There have been many studies …

Spatiotemporal data mining: a survey on challenges and open problems

A Hamdi, K Shaban, A Erradi, A Mohamed… - Artificial Intelligence …, 2022 - Springer
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Rapidly evolving controls of landslides after a strong earthquake and implications for hazard assessments

X Fan, AP Yunus, G Scaringi, F Catani… - Geophysical …, 2021 - Wiley Online Library
Strong earthquakes, especially on mountain slopes, can generate large amounts of
unconsolidated deposits, prone to remobilization by aftershocks and rainstorms. Assessing …

Map** landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models

T Chen, L Zhu, R Niu, CJ Trinder, L Peng… - Journal of Mountain …, 2020 - Springer
This work was to generate landslide susceptibility maps for the Three Gorges Reservoir
(TGR) area, China by using different machine learning models. Three advanced machine …

The long-term evolution of landslide activity near the epicentral area of the 2008 Wenchuan earthquake in China

M Chen, C Tang, J ** application in Google Earth Engine
CM Scheip, KW Wegmann - Natural Hazards and Earth …, 2020 - nhess.copernicus.org
Modern satellite networks with rapid repeat-cycles allow for near-real-time imaging of areas
impacted by natural hazards such as mass wasting, flooding, and volcanic eruptions …

Accelerating cross-scene co-seismic landslide detection through progressive transfer learning and lightweight deep learning strategies

A Dong, J Dou, C Li, Z Chen, J Ji, K **
R Wei, C Ye, T Sui, Y Ge, Y Li, J Li - International Journal of Applied Earth …, 2022 - Elsevier
Reliable landslide susceptibility map** (LSM) is essential for disaster prevention and
mitigation. This study develops a deep learning framework that integrates spatial response …