[HTML][HTML] Landslide assessment classification using deep neural networks based on climate and geospatial data

Y Tynchenko, V Kukartsev, V Tynchenko, O Kukartseva… - Sustainability, 2024 - mdpi.com
This study presents a method for classifying landslide triggers and sizes using climate and
geospatial data. The landslide data were sourced from the Global Landslide Catalog (GLC) …

Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models …

S Yang, J Tan, D Luo, Y Wang, X Guo, Q Zhu… - Computers & …, 2024 - Elsevier
In landslide susceptibility assessment (LSA), inventory incompleteness impacts the accuracy
of different models to varying degrees. However, this area remains under-researched. This …

Monitoring the effects of climate, land cover and land use changes on multi-hazards in the Gianh River watershed, Vietnam

HD Nguyen, DK Dang, QH Nguyen… - Environmental …, 2024 - iopscience.iop.org
In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards
due to changes in Southeast Asia's environmental, hydrological, and socio-economic …

Assessment of Possible Landslide Susceptibility Under Climate Change: A Case in the Chishan River Watershed in Southwestern Taiwan.

C Wu - Water (20734441), 2024 - search.ebscohost.com
This study investigated the future spatiotemporal distribution of landslide susceptibility in the
Chishan river watershed (CRW) in southwestern Taiwan under four future climate change …

Empirical Analysis of Urban Community Social Vulnerability in Hilly Areas of Kajang

MIN Diana, NA Zulkepli - E3S Web of Conferences, 2024 - e3s-conferences.org
The occurrence of landslides in Malaysia have increased significantly by year due to climate
and development activities happening in Malaysia. The increasing phenomenon of …