A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective
Abstract The 8th October 2005 Kashmir earthquake, in northern Pakistan has triggered
thousands of landslides, which was the second major factor in the destruction of the build-up …
thousands of landslides, which was the second major factor in the destruction of the build-up …
Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models
Z Chang, Z Du, F Zhang, F Huang, J Chen, W Li… - Remote Sensing, 2020 - mdpi.com
Landslide susceptibility prediction (LSP) has been widely and effectively implemented by
machine learning (ML) models based on remote sensing (RS) images and Geographic …
machine learning (ML) models based on remote sensing (RS) images and Geographic …
A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges
It has been 15 years since the catastrophic 2005 Kashmir Mw 7.6 earthquake induced
thousands of landslides in northern Pakistan and Kashmir. There have been many studies …
thousands of landslides in northern Pakistan and Kashmir. There have been many studies …
Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques
Concerning the significant increase in the negative effects of flash-floods worldwide, the
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
main goal of this research is to evaluate the power of the Analytical Hierarchy Process …
[HTML][HTML] Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan
The northern Pakistan is attributed with rough terrain, active seismicity, monsoon rains, and
therefore hosts to variety of geohazards. Among the geohazards, landslides are the most …
therefore hosts to variety of geohazards. Among the geohazards, landslides are the most …
Landslide susceptibility mapping using machine learning algorithms and remote sensing data in a tropical environment
We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands …
A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide …
In recent years, Iran has experienced many landslides due to high tectonic activity, and a
variety of geological and climatic conditions. This paper proposes a novel hybrid model …
variety of geological and climatic conditions. This paper proposes a novel hybrid model …
Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from …
Y Tang, F Feng, Z Guo, W Feng, Z Li, J Wang… - Journal of Cleaner …, 2020 - Elsevier
Landslide susceptibility assessment is an important task in urban planning and risk
management. For mountainous areas where multiple types of landslides occur, the …
management. For mountainous areas where multiple types of landslides occur, the …
Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
Every year, gully erosion causes substantial damage to agricultural land, residential areas
and infrastructure, such as roads. Gully erosion assessment and mapping can facilitate …
and infrastructure, such as roads. Gully erosion assessment and mapping can facilitate …
A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropical …
The objective of this study is to explore and compare the least square support vector
machine (LSSVM) and multiclass alternating decision tree (MADT) techniques for the spatial …
machine (LSSVM) and multiclass alternating decision tree (MADT) techniques for the spatial …