Landslide prediction, monitoring and early warning: a concise review of state-of-the-art

BG Chae, HJ Park, F Catani, A Simoni, M Berti - Geosciences Journal, 2017 - Springer
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …

The study of slums as social and physical constructs: Challenges and emerging research opportunities

R Mahabir, A Crooks, A Croitoru… - Regional Studies …, 2016 - Taylor & Francis
Over 1 billion people currently live in slums, with the number of slum dwellers only expected
to grow in the coming decades. The vast majority of slums are located in and around urban …

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

A Jaafari, A Najafi, HR Pourghasemi… - International Journal of …, 2014 - Springer
This study presents a landslide susceptibility assessment for the Caspian forest using
frequency ratio and index of entropy models within geographical information system. First …

Dynamic earth system and ecological controls of rainfall-initiated landslides

RC Sidle, TA Bogaard - Earth-science reviews, 2016 - Elsevier
Rainfall-initiated landslides continue to inflict damages and loss of life throughout the world.
Processes and mechanisms revealed from hydrological, geomorphic, geotechnical …

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

A Ozdemir, T Altural - Journal of Asian Earth Sciences, 2013 - Elsevier
This study evaluated and compared landslide susceptibility maps produced with three
different methods, frequency ratio, weights of evidence, and logistic regression, by using …

Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)

M Conforti, S Pascale, G Robustelli, F Sdao - Catena, 2014 - Elsevier
Landslides are one of the most widespread natural hazards that cause damage to both
property and life every year, and therefore, the spatial distribution of the landslide …

Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

IN Aghdam, MHM Varzandeh, B Pradhan - Environmental Earth Sciences, 2016 - Springer
The main aim of this paper is to develop a new hybrid method to assess landslide
susceptibility mapping (LSM) in neighboring provinces of Alborz Mountains in Iran. In the …

DEM resolution effects on shallow landslide hazard and soil redistribution modelling

L Claessens, GBM Heuvelink… - … and Landforms: The …, 2005 - Wiley Online Library
In this paper we analyse the effects of digital elevation model (DEM) resolution on the results
of a model that simulates spatially explicit relative shallow landslide hazard and soil …

[HTML][HTML] Landslide assessment classification using deep neural networks based on climate and geospatial data

Y Tynchenko, V Kukartsev, V Tynchenko, O Kukartseva… - Sustainability, 2024 - mdpi.com
This study presents a method for classifying landslide triggers and sizes using climate and
geospatial data. The landslide data were sourced from the Global Landslide Catalog (GLC) …

[图书][B] Granite landscapes of the world

P Migon - 2006 - books.google.com
Outcrops of granitic rocks cover a large proportion of the Earth's surface and host a range of
spectacular landforms and landscapes, from extensive plains dotted by inselbergs to deeply …