We are witnessing a digital revolution in geoscientific field data collection and data sharing,
driven by the availability of low-cost sensory platforms capable of generating accurate …

Remote sensing data and techniques are widely used for monitoring and managing natural
or man-made disasters, due to their timeliness and their satisfactory accuracy. A key stage in …

In this paper, we evaluated the results in terms of accuracy and coverage of the LiDAR-UAV
system DJI Zenmuse L1 and Digital Aerial Photogrammetric system (DAP–UAV) DJI …

Objectives We test the absolute positional accuracy of point clouds produced using UAS
with direct-georeferencing systems. Methods We test the accuracy and characteristics of …

With the ever-increasing popularity of unmanned aerial vehicles and other platforms
providing dense point clouds, filters for the identification of ground points in such dense …

Satellite-based multispectral remote sensing in the wine sector is expanding, aiming at
improving vineyard management for both environmental sustainability and vine quality/yield …

Filtering out vegetation from a point cloud based on color is only rarely used, largely due to
the lack of knowledge of the suitability of input information (color, vegetation indices) and the …

When surveying a large target area with a real-time kinematic unmanned aerial vehicle
(RTK-UAV), the RTK signal tends to be disconnected when city canyons or macrocells are …

The classification of point clouds is an important research topic due to the increasing speed,
accuracy, and detail of their acquisition. Classification using only color is basically absent in …

The developments in lightweight unmanned aerial vehicles (UAVs) and structure‐from‐
motion (SfM)‐based software have opened a new era in 3D mapping which is notably cost …