WG3
Leaders
WG3
Description of the WG3
The WG3 is divided into three main aspects of point cloud processing: pre-processing, processing, and evaluation of results. Pre-processing is an important step for both laser- and image-based point clouds. And it is a very crucial step for photogrammetry where the two-dimensional images are processed into 3D point clouds.
Point cloud processing and evaluation will focus on testing available algorithms from 3DForEcoTech project members and beyond. Afterward, WG3 will develop workflows that will go through processing steps including multiple algorithms and software to establish automatic or semi-automatic processing pipelines. The WG3 will gather all available software solutions and create a general database of commercial, free and open-source software solutions and prepare general guidelines and protocols for data processing.
Tasks
WG3-T1: Recognizing available software and algorithms for processing point clouds for precision forestry and forest ecology purposes.
WG3-T2: Developing guidelines on how to process terrestrial-based point clouds to get accurate and reliable results for forest inventory (WG4) and forest ecology (WG5) purposes.
WG3-T3: Creating a database of available software and open-source algorithms together with guidelines.
Milestone
WG3-M1: Workshop on data processing of 3D terrestrial-based point clouds
WG3-M2: Joint workshop with WG1 and WG2 on data collection, fusion and data processing of three-dimensional terrestrial-based technologie