[HTML][HTML] Remote sensing for landslide investigations: An overview of recent achievements and perspectives

M Scaioni, L Longoni, V Melillo, M Papini - Remote Sensing, 2014 - mdpi.com
Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …

Airborne lidar change detection: An overview of Earth sciences applications

U Okyay, J Telling, CL Glennie, WE Dietrich - Earth-Science Reviews, 2019 - Elsevier
In the last two decades, airborne laser scanning (ALS) has found widespread application
and driven fundamental advances in the Earth sciences. With increasing availability and …

[HTML][HTML] 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 …

Review of landslide monitoring techniques with IoT integration opportunities

H Thirugnanam, S Uhlemann… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
With the advancements of technology in the era of Big Data and artificial intelligence,
Internet of Things (IoT) has a major role for the purpose of monitoring natural disasters like …

[HTML][HTML] 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 …

Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data

T Görüm - Engineering Geology, 2019 - Elsevier
A precise, accurate and complete landslide inventory is indispensable for the establishment
of reliable landslide susceptibility and hazard maps. In the preparation of landslide …

[HTML][HTML] Analysis of landslide evolution affecting olive groves using UAV and photogrammetric techniques

T Fernández, JL Pérez, J Cardenal, JM Gómez… - Remote Sensing, 2016 - mdpi.com
This paper deals with the application of Unmanned Aerial Vehicles (UAV) techniques and
high resolution photogrammetry to study the evolution of a landslide affecting olive groves …

Comparative analysis of SHALSTAB and SINMAP for landslide susceptibility mapping in the Cunha River basin, southern Brazil

GP Michel, M Kobiyama, RF Goerl - Journal of soils and sediments, 2014 - Springer
Abstract Purpose The Shallow Landsliding Stability Model (SHALSTAB) and Stability Index
Mapping (SINMAP) models have been applied to various landslide management and …

[HTML][HTML] Morphological changes detection of a large earthflow using archived images, lidar-derived dtm, and uav-based remote sensing

M Conforti, M Mercuri, L Borrelli - Remote Sensing, 2020 - mdpi.com
In mountainous landscapes, where strongly deformed pelitic sediments outcrop, earthflows
can dominate denudation processes and landscape evolution. This paper investigated …

Tracking and evolution of complex active landslides by multi-temporal airborne LiDAR data: The Montaguto landslide (Southern Italy)

G Ventura, G Vilardo, C Terranova, EB Sessa - Remote Sensing of …, 2011 - Elsevier
A multi-temporal LiDAR study of an active landslide at Montaguto (Italy) is presented. Four
LiDAR-derived Digital Terrain Models acquired on May 2006, July 2009, April 2010 and …