Aims In the recent past, many studies have been conducted to elucidate the determinants
affecting cloud computing adoption at different institutional levels. The study aims to identify …

Automatic point cloud classification (PCC) is a challenging task in large-scale urban point
clouds due to the heterogeneous density of points, the high number of points and the …

Because point clouds have reality measurements of physical objects, they are often used to
reconstruct the as-built three-dimensional (3D) model of building construction sites through …

Point clouds contain high detail and high accuracy geometry representation of the scanned
Earth surface parts. To manage the huge amount of data, the point clouds are traditionally …

Plant phenomics bridges the gap between traits of agricultural importance and genomic
information. Limitations of current field-based phenotyping solutions include mobility …

Abstract Structure-from-motion (SfM) photogrammetry has become an important tool for the
digitalisation of outcrops as digital outcrop models (DOMs). DOMs facilitate the mapping of …

A key challenge of supervised learning is the availability of human-labeled data. We
evaluate a big data processing pipeline to auto-generate labels for remote sensing data. It is …

Wildfires are increasing in size and severity across much of the western United States,
exposing vulnerable wildland-urban interfaces to post-fire hazards. The Mediterranean …

Recent years have seen a rapid rise in the generation of high-resolution topographic data
using custom-built or commercial-grade Unmanned Aerial Vehicles (UAVs). Though several …

Context The southern and central greater glider (Petauroides volans) is a nationally listed
endangered species in Australia. The species depends upon mature native forest providing …