A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches
Sign Up to like & getrecommendations! Published in 2019 at "Landslides"
DOI: 10.1007/s10346-019-01299-0
Abstract: Landslide susceptibility assessment is vital for landslide risk management and urban planning, and the scientific community is continuously proposing new approaches to map landslide susceptibility, especially by hybridizing state-of-the-art models and by proposing new ones.… read more here.
Keywords: susceptibility; beyond landslide; maps simple; step beyond ... See more keywords
Analyzing the posterior predictive capability and usability of landslide susceptibility maps: a case of Kerala, India
Sign Up to like & getrecommendations! Published in 2024 at "Landslides"
DOI: 10.1007/s10346-024-02389-4
Abstract: Landslide susceptibility maps serve as the basis for hazard and risk assessment, as well as risk-informed land use planning at various spatial scales. Researchers create these maps aiming to fulfil a variety of purposes, including… read more here.
Keywords: susceptibility maps; susceptibility; landslide susceptibility; usability ... See more keywords
Comparing shallow landslide susceptibility maps in Northeastern Türkiye (Beşikdüzü, Trabzon): a multivariate statistical, machine learning, and physical data-based analysis
Sign Up to like & getrecommendations! Published in 2024 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-024-11627-w
Abstract: This study endeavors to assess and compare the efficacy of various modeling approaches, including statistical, machine learning, and physical-based models, in the creation of shallow landslide susceptibility maps within the Besikduzu district of Trabzon province,… read more here.
Keywords: susceptibility maps; susceptibility; landslide susceptibility; shallow landslide ... See more keywords
Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics
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DOI: 10.1038/s41598-021-00780-y
Abstract: Inventories of seismically induced landslides provide essential information about the extent and severity of ground effects after an earthquake. Rigorous assessment of the completeness of a landslide inventory and the quality of a landslide susceptibility… read more here.
Keywords: logistic regression; susceptibility; analysis; landslide inventories ... See more keywords
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
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DOI: 10.1080/19475705.2024.2378991
Abstract: Abstract The study examined three machine learning algorithms (MLAs): random forest (RF), support vector machine (SVM), and artificial neural networks (ANN) for generating flood susceptibility maps in two watersheds in Jordan. Both were selected because… read more here.
Keywords: susceptibility maps; susceptibility; machine learning; flood susceptibility ... See more keywords
Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.801618
Abstract: Background Accurate delineation of the midbrain nuclei, the red nucleus (RN), substantia nigra (SN) and subthalamic nucleus (STN), is important in neuroimaging studies of neurodegenerative and other diseases. This study aims to segment midbrain structures… read more here.
Keywords: high resolution; midbrain structures; susceptibility; resolution susceptibility ... See more keywords