Landslide detection and inventory updating using the time-series InSAR approach along the Karakoram Highway, Northern Pakistan
Karakoram Highway (KKH) is frequently disrupted by geological hazards mainly landslides
which pose a serious threat to its normal operation. Using documented inventory, optical …
which pose a serious threat to its normal operation. Using documented inventory, optical …
Potential landslides identification based on temporal and spatial filtering of SBAS-InSAR results
Abstract Interferometric Synthetic Aperture Radar (InSAR) is an important method for
acquiring surface deformation. Considering the difficulty of the identification work, the …
acquiring surface deformation. Considering the difficulty of the identification work, the …
Integrated approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, Northern Pakistan
Landslides are one of the most recurring and damaging natural hazards worldwide, with
rising impacts on communities, infrastructure, and the environment. Landslide hazard …
rising impacts on communities, infrastructure, and the environment. Landslide hazard …
Combined analysis of PS-InSAR and hypsometry integral (HI) for comparing seismic vulnerability and assessment of various regions of Pakistan
U Ramzan, H Fan, H Aeman, M Ali, M AA Al-qaness - Scientific Reports, 2022 - nature.com
InSAR-based deformation analysis and the geomorphic hypsometric integral (HI) technique
are powerful tools for assessing the susceptibility and comparison of seismic sites to …
are powerful tools for assessing the susceptibility and comparison of seismic sites to …
Landslide susceptibility evaluation based on potential disaster identification and ensemble learning
X Wang, X Zhang, J Bi, X Zhang, S Deng, Z Liu… - International journal of …, 2022 - mdpi.com
Catastrophic landslides have much more frequently occurred worldwide due to increasing
extreme rainfall events and intensified human engineering activity. Landslide susceptibility …
extreme rainfall events and intensified human engineering activity. Landslide susceptibility …
Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
In order to meet the needs of refined landslide risk management, the extended correlation
framework of dynamic susceptibility modeling desiderates to be further explored. This work …
framework of dynamic susceptibility modeling desiderates to be further explored. This work …
Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: A case study of Chitral valley, Northern Pakistan
Chitral valley lies in the eastern Hindu Kush range, one of the hotspot of landslide activities
that leads to loss of lives and economy. Comprehensive landslide inventory and Landslide …
that leads to loss of lives and economy. Comprehensive landslide inventory and Landslide …
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
X Wang, A Du, F Hu, Z Liu, X Zhang, L Wang… - Frontiers in Earth …, 2023 - frontiersin.org
Disastrous landslides have become a focus of the world's attention. Landslide susceptibility
evaluation (LSE) can predict where landslides may occur and has caught the attention of …
evaluation (LSE) can predict where landslides may occur and has caught the attention of …
Landslide hazard analysis based on SBAS-InSAR and MCE-CNN model: A case study of Kongtong, Pingliang
Y Zhang, Y Chen, D Ming, Y Zhu, X Ling… - Geocarto …, 2022 - Taylor & Francis
A new multi-channel expanded convolutional neural network (MCE-CNN) model was
proposed for landslide hazard analysis based on 'dynamic and static'+'internal and …
proposed for landslide hazard analysis based on 'dynamic and static'+'internal and …