Landslide susceptibility mapping using machine learning algorithm validated by persistent scatterer In-SAR technique

MA Hussain, Z Chen, Y Zheng, M Shoaib, SU Shah… - Sensors, 2022 - mdpi.com
Landslides are the most catastrophic geological hazard in hilly areas. The present work
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …

PS-InSAR-based validated landslide susceptibility mapping along Karakorum Highway, Pakistan

MA Hussain, Z Chen, R Wang, M Shoaib - Remote Sensing, 2021 - mdpi.com
Landslide classification and identification along Karakorum Highway (KKH) is still
challenging due to constraints of proposed approaches, harsh environment, detail analysis …

Assessing the impacts of groundwater depletion and aquifer degradation on land subsidence in Lahore, Pakistan: A PS-InSAR approach for sustainable urban …

MM Sajjad, J Wang, Z Afzal, S Hussain, A Siddique… - Remote Sensing, 2023 - mdpi.com
In various regions worldwide, people rely heavily on groundwater as a significant water
source for daily usage. The resulting large-scale depletion of groundwater has triggered …

Integrated methodology for potential landslide identification in highly vegetation-covered areas

L Yan, Q Gong, F Wang, L Chen, D Li, K Yin - Remote Sensing, 2023 - mdpi.com
It is normally difficult to identify the ground deformation of potential landslides in highly
vegetation-covered areas in terms of field investigation or remote sensing interpretation. In …

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 …

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 …

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 …

High-precision monitoring method for airport deformation based on time-series InSAR technology

R Zhang, W Zhang, W Huang, T Ma, Q Wang… - … and Building Materials, 2023 - Elsevier
In order to solve the problems of low efficiency and discrete data that are associated with
current airport area deformation monitoring and to realize the long-term and large-scale …