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[HTML][HTML] Remote sensing for landslide investigations: A progress report from China
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
[HTML][HTML] Remote sensing for landslide investigations: An overview of recent achievements and perspectives
Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …
and damages to buildings, properties and lifelines. In the last decades, a significant increase …
Presentation and analysis of a worldwide database of earthquake‐induced landslide inventories
H Tanyaş, CJ van Westen, KE Allstadt… - Journal of …, 2017 - Wiley Online Library
Earthquake‐induced landslide (EQIL) inventories are essential tools to extend our
knowledge of the relationship between earthquakes and the landslides they can trigger …
knowledge of the relationship between earthquakes and the landslides they can trigger …
A global slope unit-based method for the near real-time prediction of earthquake-induced landslides
H Tanyas, M Rossi, M Alvioli, CJ van Westen… - Geomorphology, 2019 - Elsevier
Rapid assessment of spatial distribution of earthquake-induced landslides could provide
valuable information in the emergency response phase. Previous studies proposed global …
valuable information in the emergency response phase. Previous studies proposed global …
Factors controlling landslide frequency–area distributions
H Tanyaş, CJ van Westen, KE Allstadt… - Earth surface …, 2019 - Wiley Online Library
A power‐law relation for the frequency–area distribution (FAD) of medium and large
landslides (eg tens to millions of square meters) has been observed by numerous authors …
landslides (eg tens to millions of square meters) has been observed by numerous authors …
Identification of forested landslides using LiDar data, object-based image analysis, and machine learning algorithms
For identification of forested landslides, most studies focus on knowledge-based and pixel-
based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated …
based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated …
Irrigation-triggered landslides in a Peruvian desert caused by modern intensive farming
Intensification of agriculture leads to stress on the environment and subsequently can have
strong societal and ecological impacts. In deserts, areas of very high sensitivity to land-use …
strong societal and ecological impacts. In deserts, areas of very high sensitivity to land-use …
[HTML][HTML] Landslide size matters: A new data-driven, spatial prototype
L Lombardo, H Tanyas, R Huser, F Guzzetti… - Engineering …, 2021 - Elsevier
The standard definition of landslide hazard requires the estimation of where, when (or how
frequently) and how large a given landslide event may be. The geoscientific community …
frequently) and how large a given landslide event may be. The geoscientific community …
Landslides information extraction using object-oriented image analysis paradigm based on deep learning and transfer learning
How to acquire landslide disaster information quickly and accurately has become the focus
and difficulty of disaster prevention and relief by remote sensing. Landslide disasters are …
and difficulty of disaster prevention and relief by remote sensing. Landslide disasters are …
A seismologically consistent expression for the total area and volume of earthquake‐triggered landsliding
We present a new, seismologically consistent expression for the total area and volume of
populations of earthquake‐triggered landslides. This model builds on a set of scaling …
populations of earthquake‐triggered landslides. This model builds on a set of scaling …