Episode description

The main topics discussed during this episode include:

1. Basics of LIDAR data and its applications.
2. Differences between LIDAR and photogrammetry.
3. Processing chain of LIDAR data.
4. Challenges in classifying point clouds.
5. Applications of LIDAR technology in vegetation mapping, terrain modelling, and infrastructure inspection.
6. The future of LIDAR technology includes the potential for more affordable and widespread use.
7. Importance of automated processing tools for handling large volumes of data.

Connect with Nejc Dougan here: https://www.linkedin.com/in/nejcdougan/

or at https://www.flai.ai/ 

Recommended listening 

Cloud Optimized Point Clouds

https://mapscaping.com/podcast/cloud-optimized-point-clouds/

PDAL - the point data abstraction library

https://mapscaping.com/podcast/pdal-point-data-abstraction-library/

Lidar from drones

https://mapscaping.com/podcast/lidar-from-drones/

Bathymetric Lidar

https://mapscaping.com/podcast/bathymetric-lidar-and-blue-carbon/