Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Geology"
DOI: 10.1016/j.enggeo.2019.05.007
Abstract: Abstract Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, named Cross-Scaling, is proposed… read more here.
Keywords: resolution; learning based; cross scaling; based landslide ... See more keywords
Limit equilibrium based landslide prediction system using WSN
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Sensor Networks"
DOI: 10.1504/ijsnet.2020.10028369
Abstract: The increased impact of landslides, especially in emerging countries, is largely related to population growth, increasing infrastructure and human activities in landslide-prone areas. Such a problem incited us to investigate for new solutions that detect… read more here.
Keywords: landslide prediction; prediction system; equilibrium based; system ... See more keywords
Geographical Information System (GIS)-Based Landslide Susceptibility Mapping in Malaysia: A Review of Past, Current and Future Trends
Sign Up to like & getrecommendations! Published in 2023 at "Academic Journal of Interdisciplinary Studies"
DOI: 10.36941/ajis-2023-0069
Abstract: Landslides are very serious natural disasters that cause much damage and threaten human lives. Landslide susceptibility mapping studies are very common in landslide assessments. Geographic information systems (GISs) have been widely used in many fields,… read more here.
Keywords: susceptibility mapping; landslide susceptibility; mapping malaysia; based landslide ... See more keywords