LS-VISA: 3D Laser Scanning – Vegetation Investigation and Signature Analysis
The research project LS-VISA aims at developing a novel system for analyzing point clouds of vegetation.
The multi-scale approach of two spatial scales and sensors (airborne and terrestrial laser scanning) will close the gap between sensor and target perspective by systematic analysis of Laser Scanning (LS) vegetation signatures by means of 3D geoinformation technology.
Mapping and characterization of vegetation by remote sensing is increasingly gaining in importance. Particularly, the three-dimensional nature of vegetation (e.g. trees and agricultural plants) demands for new technologies and scientific approaches which are capable of assessing the full 3D perspective. Laser scanning has evolved into the state-of-the-art technology for highly accurate 3D data acquisition both from airborne and terrestrial platforms. Deeper insight is required for tasks in forest management, carbon sink analysis, biodiversity assessment, precision agriculture and renewable energy production.
A signature describes the characteristic properties (specific geometric and radiometric attributes) of defined reference objects provided in 3D laser data representation.
As LS data is frequently captured with different sensors and field specifications, the resulting technical challenges related to data fusion, scale and data quantity are best addressed by a community of scientists who share approaches and data. Thus, as a result of this project a novel web-based LS signature database for the management and analysis of reference signatures will be established.