Remediation methods of heavy metal contaminated soils from environmental and geotechnical standpoints

Z ur Rehman, MF Junaid, N Ijaz, U Khalid… - Science of The Total …, 2023 - Elsevier
Heavy metal contaminated soil (HMCS) threatens world health and sustainable growth,
owing to which numerous remediation methods have been devised. Meanwhile …

Review of satellite interferometry for landslide detection in Italy

L Solari, M Del Soldato, F Raspini, A Barra… - Remote Sensing, 2020 - mdpi.com
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …

Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques

A Novellino, M Cesarano, P Cappelletti, D Di Martire… - Catena, 2021 - Elsevier
This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …

Map** landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers: A case study of Jiaju landslide in …

J Dong, L Zhang, M Tang, M Liao, Q Xu, J Gong… - Remote sensing of …, 2018 - Elsevier
InSAR technology provides a powerful tool to detect potentially unstable slopes across wide
areas and to monitor surface displacements of a single landslide. However, conventional …

A new deep-learning-based approach for earthquake-triggered landslide detection from single-temporal RapidEye satellite imagery

Y Yi, W Zhang - IEEE Journal of Selected Topics in Applied …, 2020 - ieeexplore.ieee.org
Accurate landslide detection and map** are essential for land use planning,
management/assessment, and geo-disaster risk mitigation as well as post-disaster …

[HTML][HTML] Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers

P Lu, S Bai, V Tofani, N Casagli - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
Long-term InSAR techniques, such as Persistent Scatterer Interferometry and Distributed
Scatterer Interferometry, are effective approaches able to detect slow-moving landslides with …

[HTML][HTML] Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent

H Yang, L Qu, L Chen, K Song, Y Yang… - Journal of Rock Mechanics …, 2024 - Elsevier
The abrupt occurrence of the Zhongbao landslide is totally unexpected, resulting in the
destruction of local infrastructure and river blockage. To review the deformation history of the …

Pre-and post-failure spatial-temporal deformation pattern of the Baige landslide retrieved from multiple radar and optical satellite images

Z ** vulnerable urban areas affected by slow-moving landslides using Sentinel-1 InSAR data
M Béjar-Pizarro, D Notti, RM Mateos, P Ezquerro… - Remote Sensing, 2017 - mdpi.com
Landslides are widespread natural hazards that generate considerable damage and
economic losses worldwide. Detecting terrain movements caused by these phenomena and …

ShapeFormer: A shape-enhanced vision transformer model for optical remote sensing image landslide detection

P Lv, L Ma, Q Li, F Du - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Landslides pose a serious threat to human life, safety, and natural resources. Remote
sensing images can be used to effectively monitor landslides at a large scale, which is of …