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[HTML][HTML] Deep learning and machine learning models for landslide susceptibility map** with remote sensing data
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 …
and China that holds socio-economic and strategic significance. However, KKH has extreme …
integrating machine learning ensembles for landslide susceptibility map** in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility map** (LSM) has been globally deemed as an …
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
Landslide detection and distribution map** are essential components of geohazard
prevention. For the extremely difficult problem of automatic forested landslide detection …
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 …
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
Monitoring displacement at transport infrastructure using Sentinel‑1 Interferometric Synthetic
Aperture Radar (InSAR) faces challenges due to the sensor's medium spatial resolution …
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
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 …
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
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 …
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 …
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 …
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 …
To address this, this study develops a landslide susceptibility model integrating Earth …