Landslide susceptibility assessment is a quantitative or semi-quantitative method for estimating the spatial probability of future landslide occurrence, given local terrain and environmental conditions, without explicitly modeling triggering events in time. It typically integrates conditioning factors such as slope gradient, lithology, soil properties, land use, drainage density, and structural features with landslide inventory data using statistical (e.g., logistic regression, weights-of-evidence), machine learning (e.g., random forests, support vector machines), or deterministic approaches (e.g., physically based slope stability models). The output is usually a susceptibility map classifying terrain into relative hazard levels, supporting land-use planning and risk analyses.
In the days since last week's fatal landslides at Mount Maunganui, there has been widespread discussion about what may have caused the slopes above the campground to fail, including the possible role of recent tree removal ...
Environment
Jan 28, 2026
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A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the Institute of Mathematical ...
Earth Sciences
Jan 28, 2026
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The tragic events in the Bay of Plenty this week are a stark reminder that landslides remain the deadliest of the many natural hazards New Zealand faces. A large landslide swept through the Mount Maunganui Beachside Holiday ...
Environment
Jan 25, 2026
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In the wake of a wildfire, there's often an assumption that burned landscapes will be more susceptible to landslides. But new research from the University of Oregon suggests it's not always that simple.
Earth Sciences
Aug 8, 2025
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Every morning, Nepali primary school teacher Bina Tamang steps outside her home and checks the rain gauge, part of an early warning system in one of the world's most landslide-prone regions.
Environment
Aug 1, 2025
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Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide prediction over large areas.
Earth Sciences
Jul 25, 2025
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Below ocean wind farms, oil rigs and other offshore installations are mammoth networks of underwater structures, including pipelines, anchors, risers and cables, that are essential to harnessing the energy source. But much ...
Earth Sciences
May 27, 2025
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36
A new analysis of a fatal landslide that occurred on 13 February 2024 at the Çöpler Gold Mine in Turkey reveals that the site of the landslide had been slowly moving for at least four years prior to the failure.
Earth Sciences
May 9, 2025
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Landslides pose a significant threat to people and the environment worldwide. Researchers from the Leibniz Center for Agricultural Landscape Research (ZALF), together with international partners, have developed a new framework ...
Earth Sciences
Mar 31, 2025
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