Time Series UAV Image-Based Point Clouds for Landslide Progression Evaluation Applications.

ABSTRACT: Landslides are major and constantly changing threats to urban landscapes and infrastructure. It is essential to detect and capture landslide changes regularly. Traditional methods for monitoring landslides are time-consuming, costly, dangerous, and the quality and quantity of the data is sometimes unable to meet the necessary requirements of geotechnical projects. This motivates the development of more automatic and efficient remote sensing approaches for landslide progression evaluation. Automatic change detection involving low-altitude unmanned aerial vehicle image-based point clouds, although proven, is relatively unexplored, and little research has been done in terms of accounting for volumetric changes. In this study, a methodology for automatically deriving change displacement rates,

SUBMITTER: Al-Rawabdeh A 

PROVIDER: S-EPMC5677266 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature