[TA14-2-1-1] Point clouds

Point clouds represent a set of points with X, Y, Z coordinates and associated attributes. A source of acquisition is Light Detection and Ranging (LIDAR), an airborne surveying technique that uses laser light to measure the distance to an object on the ground.

External resources

• Belgiu, M., Tomljenovic, I., Lampoltshammer, T., Blaschke, T., & Höfle, B. (2014). Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data. Remote Sensing, 6(2), 1347–1366. MDPI AG. Retrieved from: http://dx.doi.org/10.3390/rs6021347

Learning outcomes

• 1776 - Interpret the output of an point cloud measurement

  Interpret the output of an point cloud measurement

• 1787 - Understand the technology behind LiDAR as an active sensor and what makes it different from the other existing Remote Sensing approaches

  Understand the technology behind LiDAR as an active sensor and what makes it different from the other existing Remote Sensing approaches

• 1788 - Develop thorough understanding of the complex process from collecting the LiDAR data to generation of the final modeled outputs

  Develop thorough understanding of the complex process from collecting the LiDAR data to generation of the final modeled outputs

Self assessment

Outgoing relations

• [TA14-2-1-1] Point clouds (proposed relation) [PS3] Remote sensing data and imagery
• [TA14-2-1-1] Point clouds subclassof [TA14-2-1] Geometrically measured EO products