WG2: Data Fusion

WG2

Leaders

Dr 
Markus Hollaus
WG2 Leader
TU Wien
Austria
Mattia Balestra
WG2 Co-leader
Università Politecnica delle Marche
Italy
WG2

Description of the WG2

The WG2 focuses on the fusion of data produced by novel terrestrial-based technologies data with other remote sensing data. The aim is to establish the link between terrestrial data in the frame of large-scale applications at regional, national, or even global levels.

The focus will be divided into three categories: unmanned aircraft systems, airborne and spaceborne platforms. The focus will be on those three subgroups and the fusion processes and benefits of each. The emphasis will also be laid on pre-processing of data from unmanned aircraft systems, airborne and spaceborne platforms. The pre-processing stage has to follow the goal of the fusion and then a particular approach must be taken into account.

Tasks

WG2-T1: Identifying and gathering pre-processing workflows for unmanned aircraft systems, airborne and spaceborne data with emphasis on possible fusion with terrestrial-based data and with each other.

WG2-T2: Recognizing the pros and cons of the fusion of novel terrestrial-based 3D data with unmanned aircraft systems, airborne and spaceborne data.

WG2-T3: Identifying and developing guidelines and protocols to accurately fuse terrestrial-based three-dimensional data with other remote sensing methods – unmanned aircraft systems, airborne and spaceborne.

WG2-T4: Developing and testing calibration protocols for remote sensing data by terrestrial-based point clouds with a focus on spaceborne.

WG2-T5: Creating an open-data database of remote sensing fusion ready data.

Milestone

WG2-M1: Joint workshop with WG1 and WG3 on data collection, fusion and data processing of three-dimensional terrestrial-based technologie

Structure

Meet the other Working Groups

The WG1 primarily focuses on different aspects of data collection by novel terrestrial-based technologies suitable to capture and generate 3D point clouds of individual trees as well as forest ecosystems.

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.

WG4 is working on the application part of the Action. WG4 focuses on the usage of novel terrestrial-based technologies and techniques within precision forestry. Mainly on forest stands and individual tree parameters, that could be used for forest inventory, monitoring, and management.

WG5 is an application-oriented WG, similar to WG4. In this case, the focus is on the implementation of novel terrestrial-based technologies for forest ecology research purposes. In the beginning, it will identify already available best practices. The WG5 closely works with WG1-3 to identify all possibilities from data collection, data fusion, and processing points of view.

WG6 is responsible for identifying important stakeholders and target audiences at the national, European, and global levels. It will establish correct and efficient communication with all parties, in order to disseminate the findings and results.