[HTML][HTML] Deep learning and machine learning models for landslide susceptibility map** with remote sensing data

MA Hussain, Z Chen, Y Zheng, Y Zhou, H Daud - Remote Sensing, 2023 - mdpi.com
Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …

integrating machine learning ensembles for landslide susceptibility map** 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 map** (LSM) has been globally deemed as an …

[HTML][HTML] Automatic detection of forested landslides: a case study in Jiuzhaigou County, China

D Li, X Tang, Z Tu, C Fang, Y Ju - Remote Sensing, 2023 - mdpi.com
Landslide detection and distribution map** are essential components of geohazard
prevention. For the extremely difficult problem of automatic forested landslide detection …

[HTML][HTML] Landslide dynamic susceptibility map** base on machine learning and the PS-InSAR coupling model

F Miao, Q Ruan, Y Wu, Z Qian, Z Kong, Z Qin - Remote Sensing, 2023 - mdpi.com
Complex and fragile geological conditions combined with periodic fluctuations in reservoir
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …

Challenges and Opportunities of Sentinel-1 InSAR for Transport Infrastructure Monitoring

A Piter, M Haghshenas Haghighi, M Motagh - PFG–Journal of …, 2024 - Springer
Monitoring displacement at transport infrastructure using Sentinel‑1 Interferometric Synthetic
Aperture Radar (InSAR) faces challenges due to the sensor's medium spatial resolution …

[HTML][HTML] A Priori Estimation of Radar Satellite Interferometry's Sensitivity for Landslide Monitoring in the Italian Emilia-Romagna Region

E Vecchi, L Tavasci, E Giorgini, S Gandolfi - Remote Sensing, 2024 - mdpi.com
The InSAR technique is known to be a powerful tool for precise monitoring of wide areas in
terms of displacements. It is conceivable to also use this technique to monitor landslide …

Surface Displacements Monitoring in Cyprus via InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages

S Alatza, C Loupasakis, A Apostolakis, M Tzouvaras… - Remote Sensing, 2024 - mdpi.com
The island of Cyprus is characterised by a complex geological environment as it overlies a
boundary zone of three tectonic plates, leading to high seismicity and intensive tectonism. It …

Identification of potential landslide in Jianzha county based on InSAR and deep learning

X Yang, D Chen, Y Dong, Y Xue, K Qin - Scientific Reports, 2024 - nature.com
Landslide disasters have characteristics of frequent occurrence, widespread impact, and
high destructiveness, posing serious threats to human lives, property, and the ecological …

A novel high-precision photogrammetric technique for monitoring subway tunnel deformation

A Zhu - Structures, 2023 - Elsevier
This paper presents a low cost and high precision tunnel deformation monitoring system
based on network camera photogrammetry. The system uses digital image technology to …

InSAR Integrated Machine Learning Approach for Landslide Susceptibility Map** in California.

DS Vaka, VR Yaragunda, S Perdikou… - Remote …, 2024 - search.ebscohost.com
Landslides pose significant threats to life and property, particularly in mountainous regions.
To address this, this study develops a landslide susceptibility model integrating Earth …