Landslide detection and inventory updating using the time-series InSAR approach along the Karakoram Highway, Northern Pakistan

S Hussain, B Pan, Z Afzal, M Ali, X Zhang, X Shi… - Scientific reports, 2023 - nature.com
Karakoram Highway (KKH) is frequently disrupted by geological hazards mainly landslides
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

J Dong, R Niu, B Li, H Xu, S Wang - Geomatics, Natural Hazards …, 2023 - Taylor & Francis
Abstract Interferometric Synthetic Aperture Radar (InSAR) is an important method for
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

NA Shah, M Shafique, M Ishfaq, K Faisal… - Sustainability, 2023 - mdpi.com
Landslides are one of the most recurring and damaging natural hazards worldwide, with
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 …

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 …

Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity

B Jin, T Zeng, K Yin, L Gui, Z Guo, T Wang - Environmental Science and …, 2024 - Springer
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 …

Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: A case study of Chitral valley, Northern Pakistan

S Hussain, S Hongxing, M Ali, MM Sajjad… - Geocarto …, 2022 - Taylor & Francis
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 …

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan

N Ali, J Chen, X Fu, R Ali, MA Hussain, H Daud… - Remote Sensing, 2024 - mdpi.com
Natural disasters, notably landslides, pose significant threats to communities and
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 …

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 …