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Silvilaser 2023




The workshop series is sponsored by

We are pleased to announce 4 workshops to accompany SilviLaser 2023! These will be run as 2 parallel sessions on Tuesday 5th September 2023.

  • Workshops will be free attend and are only open to registrants at SilviLaser.
  • Workshops will be hosted at UCL’s Bloomsbury campus.
  • There is a limit of 30 people for each workshop, these will be allocated on “first come, first served” basis. We will operate a waiting list, so please let us know if you can no longer attend.
  • Tea and coffee will be provided during the session. Participants will need to provide their own lunch, there is a nice canteen at UCL.
  • For all workshops, participants will need to provide their own laptop. There may also be a requirement to install software before attending the workshop.

Morning Session (9 am – 12 noon):

1. CloudCompare / CloudComPy

Led by Paul Rascle and Daniel Girardeau

CloudCompare is a 3D point cloud (and triangular mesh) processing software. It has been originally designed to perform comparison between two dense 3D points clouds (such as the ones acquired with a laser scanner) or between a point cloud and a triangular mesh. It relies on a specific octree structure dedicated to this task.  Afterwards, it has been extended to a more generic point cloud processing software, including many advanced algorithms (registration, resampling, color/normal/scalar fields handling, statistics computation, sensor management, interactive or automatic segmentation, display enhancement, etc.).

CloudComPy is a Python interface to CloudCompare, giving access to many CloudCompare features, and allowing cloud and mesh manipulation with Numpy without copy (very little memory overhead). CloudCompy follows the evolution of CloudCompare and covers the most used features; missing features are added according to the needs reported by users. CloudComPy’s Python interface is intentionally very simple, and does not require advanced knowledge of Python.In this workshop, after presenting CloudCompare and CloudComPy, we will introduce the CloudComPy documentation (examples and reference doc.). We will then write some Python scripts to load, manipulate and save point clouds and meshes. We will check the results with CloudCompare. It is best to install CloudComPy and CloudCompare on your laptop before the workshop (see https://github.com/CloudCompare/CloudComPy

2. lidR: (A workshop for) Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

Led by Tristan Goodbody

This workshop is all about unlocking the power of the lidR package for forest management. Attendees will learn how to access and analyze information from lidar files, including how to select regions of interest and generate standard products like digital terrain models and canopy height models. The workshop will also cover topics such as how to use lidR outputs for forest attribute modeling using the area-based approach, and individual tree segmentation and metric extraction. Participants will discover how to efficiently process collections of lidar files using the lascatalog processing engine. Additionally, the workshop will delve into user-defined functions and how they can be utilized to further enhance analysis capabilities. Don’t miss out on this opportunity to take your lidar analysis skills to the next level!

Afternoon Session (from 1 pm):

3. Hands-on Introduction to LAStools for forestry applications (1 pm – 5 pm)

Led by Nelson Mattie

Interactive and intuitive introduction to LAStools and LiDAR processing, accompanied by real examples of various forestry projects. The excitement continues with a hands-on workshop using the provided software and data to walk through the essential steps of a LiDAR processing workflow on your own Windows laptop. The workshop consists of three parts: (1) LiDAR quality checking, (2) LiDAR preparation, (3) LiDAR derivative creation. In addition, we will introduce our new GUI *LASlook*, through a captivating demonstration

4. GEDI (1 pm – 4 pm)

Led by Atticus Stovall

Join our workshop and become a GEDI Master. The Global Ecosystem Dynamics Investigation (GEDI) is the first full waveform LiDAR instrument on the international space station developed by NASA specifically for measuring forest structure at a global scale. Unlock the huge potential of GEDI in your scientific study. Attendees will learn how to download L2A and L2B data in your own area of interest while becoming familiar with the GEDI data structure. Then we will extract metrics of elevation, height, canopy cover, plant area index, and many more! Finally, you will learn how to use GEDI L4A footprint biomass to estimate biomass in your study area and begin the process of creating wall-to-wall biomass maps using machine learning. By the end of training you will surely become a GEDI master.


Workshop registration is now closed.