High-resolution topography for understanding Earth surface processes: Opportunities and challenges
P Tarolli - Geomorphology, 2014 - Elsevier
In the last decade, a range of new remote-sensing techniques has led to a dramatic increase
in terrain information, providing new opportunities for a better understanding of Earth surface …
in terrain information, providing new opportunities for a better understanding of Earth surface …
[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …
overwhelming natural as well as man-made disaster that causes loss of natural resources …
Landslide mobilization rates: A global analysis and model
Landslides are a main driver of landscape evolution and a dominant sediment source in
many regions worldwide. Nevertheless, their role in sediment mobilization and denudation …
many regions worldwide. Nevertheless, their role in sediment mobilization and denudation …
Landslide mapping and monitoring using persistent scatterer interferometry (PSI) technique in the French Alps
Continuous geodetic measurements in landslide prone regions are necessary to avoid
disasters and better understand the spatiotemporal and kinematic evolution of landslides …
disasters and better understand the spatiotemporal and kinematic evolution of landslides …
Prediction of landslide susceptibility using rare events logistic regression: a case-study in the Flemish Ardennes (Belgium)
M Van Den Eeckhaut, T Vanwalleghem, J Poesen… - Geomorphology, 2006 - Elsevier
In this article a statistical multivariate method, ie, rare events logistic regression, is evaluated
for the creation of a landslide susceptibility map in a 200 km2 study area of the Flemish …
for the creation of a landslide susceptibility map in a 200 km2 study area of the Flemish …
Forested landslide detection using LiDAR data and the random forest algorithm: A case study of the Three Gorges, China
Abstract The Three Gorges region of central western China is one of the most landslide-
prone regions in the world. However, landslide detection based on field surveys and optical …
prone regions in the world. However, landslide detection based on field surveys and optical …
Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon
AM Booth, JJ Roering, JT Perron - Geomorphology, 2009 - Elsevier
Landslide inventory maps are necessary for assessing landslide hazards and addressing
the role slope stability plays in landscape evolution over geologic timescales. However …
the role slope stability plays in landscape evolution over geologic timescales. However …
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 …
Landslide hazard and risk assessment
F Guzzetti - 2006 - bonndoc.ulb.uni-bonn.de
Landslides play an important role in the evolution of landforms and represent a serious
hazard in many areas of the World. In places, fatalities and economic damage caused by …
hazard in many areas of the World. In places, fatalities and economic damage caused by …
Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio
PV Gorsevski, MK Brown, K Panter, CM Onasch… - Landslides, 2016 - Springer
The purpose of this study was to detect shallow landslides using hillshade maps derived
from light detection and ranging (LiDAR)-based digital elevation model (DEM) derivatives …
from light detection and ranging (LiDAR)-based digital elevation model (DEM) derivatives …