The aim of this workflow is to generate a single seamless surface from multiple disparate point cloud source data in a rapid and flexible way, and to visualize it.
Methods for extracting e.g. trees from LMMS data are certainly under development at different research institutes, but cannot yet be viewed as well established. It is still notably considered challenging to successfully identify individual trees from part of a point cloud classified as sampling trees.
IQmulus has begun its Exploitation and Maintenance Period as of 1st November 2016.
Latest IQmulus news
On April 4, 2018 the IQmulus coordinator presented IQmulus and the Norwegian follow-up project ANALYST at the EuroSDR workshop Use of algorithms on big DEM's. The workshop took place in Tønsberg, Norway. The workshop attracted 30 participants from nine European countries. As the workshop was focused on LIDAR data, the results of IQmulus matched the topic of the workshop well.
Presentation: Visualising Point Clouds and Surfaces on the IQmulus Project
HR Wallingford Exchange Forum, Howbery Park,19th July 2017
The IQmulus project addressed the challenge of taking geospatial point cloud and coverage data and interpreting it with functions such as interpolation, feature detection and change detection so that it could be more easily used for decision-making tasks. One key aspect of HR Wallingford’s role on the project was to investigate processing and visualising bathymetry datasets using the SeaZone holdings of bathymetry surveys. The purpose of this presentation is to describe and, where possible, demonstrate key visualisation applications developed at HR Wallingford.
IQmulus photo gallery