How climate change and unplanned urban sprawl bring more landslides
How climate change and unplanned urban sprawl bring more landslides Skip to main content
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The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images
Landslide detection is a hot topic in the remote sensing community, particularly with the
current rapid growth in volume (and variety) of Earth observation data and the substantial …
current rapid growth in volume (and variety) of Earth observation data and the substantial …
Investigating the feasibility of using satellite rainfall for the integrated prediction of flood and landslide hazards over Shaanxi Province in northwest China
Rainfall-triggered flood and landslide hazards pose significant threats to human lives and
infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall …
infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall …
Understanding hydrometeorological triggers of natural hazards through dendrogeomorphology: Methods, limitations, and challenges
R Tichavský - Earth-Science Reviews, 2023 - Elsevier
Dendrogeomorphology, the dating of geomorphic activity using tree-ring records, is widely
employed in forested landscapes impacted by natural hazards, often applied to identify the …
employed in forested landscapes impacted by natural hazards, often applied to identify the …
Contrasting population projections to induce divergent estimates of landslides exposure under climate change
At first glance, assessing future landslide‐exposed population appears to be a
straightforward task if landslide hazard estimates, climate change, and population …
straightforward task if landslide hazard estimates, climate change, and population …
Accurate and efficient AI-assisted paradigm for adding granularity to ERA5 precipitation reanalysis
Scientific inquiry has long relied on deterministic algorithms for systematic problem-solving
and predictability. However, the rise of artificial intelligence (AI) has revolutionized data …
and predictability. However, the rise of artificial intelligence (AI) has revolutionized data …
Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines
There is a clear need to improve and update landslide susceptibility models across the
Philippines. This is challenging, as landslides in this region are frequently triggered by …
Philippines. This is challenging, as landslides in this region are frequently triggered by …
[HTML][HTML] Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be
The geoscientific community primarily focuses on predicting where landslides are likely to
occur through data-driven susceptibility models. Recently, few researchers have turned to …
occur through data-driven susceptibility models. Recently, few researchers have turned to …
Human activities are intensifying the spatial variation of landslides in the Yellow River Basin
Human activities are a triggering factor for landslides in the Yellow River Basin (YRB,
China). However, the extent to which the spatial distribution of landslides is affected by …
China). However, the extent to which the spatial distribution of landslides is affected by …
More than one landslide per road kilometer–surveying and modelling mass movements along the Rishikesh-Joshimath (NH-7) highway, Uttarakhand, India
The rapidly expanding Himalayan road network connects rural mountainous regions.
However, the fragility of the landscape and poor road construction practices lead to frequent …
However, the fragility of the landscape and poor road construction practices lead to frequent …