Landslide hazard and risk zonation—why is it still so difficult?

CJ Van Westen, TWJ Van Asch, R Soeters - Bulletin of Engineering …, 2006 - Springer
The quantification of risk has gained importance in many disciplines, including landslide
studies. The literature on landslide risk assessment illustrates the developments which have …

Landslide hazard assessment: recent trends and techniques

SD Pardeshi, SE Autade, SS Pardeshi - SpringerPlus, 2013 - Springer
Landslide hazard assessment is an important step towards landslide hazard and risk
management. There are several methods of Landslide Hazard Zonation (LHZ) viz. heuristic …

Guidelines for landslide susceptibility, hazard and risk zoning for land use planning

R Fell, J Corominas, C Bonnard, L Cascini, E Leroi… - Engineering …, 2008 - Elsevier
Landslide susceptibility and hazard zoning, and to a lesser extent, landslide risk zoning,
have experienced extensive development during the last few decades. Most of these zoning …

Engineering geology maps: landslides and geographical information systems

J Chacon, C Irigaray, T Fernández… - Bulletin of Engineering …, 2006 - Springer
Abstract IAEG Commission No. 1—Engineering Geological Maps—is develo** a guide to
hazard maps. Scientists from 17 countries have participated. This paper is one of a series …

Landslide susceptibility map** by neuro-fuzzy approach in a landslide-prone area (Cameron Highlands, Malaysia)

B Pradhan, EA Sezer, C Gokceoglu… - … on Geoscience and …, 2010 - ieeexplore.ieee.org
This paper presents the results of the neuro-fuzzy model using remote-sensing data and
geographic information system for landslide susceptibility analysis in a part of the Cameron …

Use of satellite remote sensing data in the map** of global landslide susceptibility

Y Hong, R Adler, G Huffman - Natural hazards, 2007 - Springer
Satellite remote sensing data has significant potential use in analysis of natural hazards
such as landslides. Relying on the recent advances in satellite remote sensing and …

Improving landslide detection on SAR data through deep learning

L Nava, O Monserrat, F Catani - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
In this letter, we use deep learning convolutional neural networks (CNNs) to compare the
landslide map** and classification performances of optical images (from Sentinel-2) and …

Applicability of landslide susceptibility and hazard zoning at different scales

L Cascini - Engineering Geology, 2008 - Elsevier
Landslide susceptibility and hazard zoning can notably improve land-use planning, and thus
can be considered an efficient way to reduce future damage and loss of lives caused by …

Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)

M Cama, C Conoscenti, L Lombardo… - Environmental Earth …, 2016 - Springer
Debris flows are among the most hazardous phenomena in nature, requiring the preparation
of susceptibility models in order to cope with this severe threat. The aim of this research was …

[HTML][HTML] Application of index of entropy and Geospatial techniques for landslide prediction in Lunglei district, Mizoram, India

J Barman, SS Ali, B Biswas, J Das - Natural Hazards Research, 2023 - Elsevier
The present study focuses on develo** a landslide susceptibility zonation (LSZ) using GIS-
based bivariate statistical model in the Lunglei district of Mizoram. Initially, 17 factors were …