Wednesday, 21 March 2018

Course: Overview of LiDAR; system variations, data interpretation & applications

-        Gain an in-depth understanding of LiDAR concepts, systems and algorithms. 

Light Detection And Ranging (LiDAR)

Quickly progress to understand the state-of-art LiDAR research and systems development.
Become an expert on LiDAR data and systems with this step-to-step course, starting from scratch.
This video course gives detailed and broad information about how LiDAR systems works, their usability and interpretation.

According to Wanger et al, LiDAR is a growing technology used in environmental research to collect information about the Earth, such as vegetation and tree species. Earth observation images, acquired from satellites, have been used for years in earth monitoring. In respect to forest monitoring, satellite imagery does not contain information about tree height, diameter at breast height and stem density amongst many other important parameters for monitoring forest health at tree level. In the last couple of decades, LiDAR data acquired from airborne platforms has been increasingly used for forest monitoring, urban planning, archaeology, biodiversity and automated driving. Using this technology, the commercial forestry sector managed a 40% reduction of the expensive fieldwork that cost them millions of dollars annually.

Just listen to these videos and you will become an expert on LiDAR systems in a fraction of time!
Enhance your knowledge of Earth Observation and Remote Sensing along the way!
Check out the curriculum for the detailed contents of this video course!

Chapter 1: Overview of the course (2:56)
Lesson 1:  Overview of the course

Chapter 2: Introduction to LiDAR systems (10:30)
Lesson 2: How LiDAR systems work
Lesson 3: Introduction to discrete and full-waveform LiDAR
Lesson 4: Types according to the way they are carried
Lesson 5: Types according to the way the pulses are emitted

Chapter 3:  Interpretation of LiDAR data (6:50)
Lesson 6: Introduction to your first metrics (Digital Elevation Model, Digital Terrain Model and Canopy Height Model)
Lesson 7: Tree delineation using the Watershed Algorithm
Lesson 8: Further tree delineation approaches

Chapter 4: Full-waveform LiDAR data (11:35)
Lesson 9: Discrete versus full-waveform LiDAR data
Lesson 10: Comparison of data collected using the Leica ALS50_v2 sensor
Lesson 11: Echo Decomposition for peak point extraction
Lesson 12: Voxelisation of full-waveform LiDAR data

Chapter 5: LiDAR file formats (12:13)
Lesson 13: Introduction to binary files
Lesson 14: Discrete LiDAR LAS files formats
Lesson 15: Full-waveform LiDAR LAS file formats
Lesson 16: How to calculate the positions of the waveform samples
Lesson 17: The Pulsewaves file format 

Chapter 6: Sample of available software for interpreting LiDAR data (6:51)
Lesson 18: Sample of available software for interpreting LiDAR data

Chapter 7: Applications of LiDAR data (9:28)
Lesson 19: Biodiversity
Lesson 20: Forest health monitoring
Lesson 21: Urban planning
Lesson 22: Wood trade
Lesson 23: Archaeology
Lesson 24: Automated Driving

Chapter 8: Other Types of LiDAR Systems (2:42)
Lesson 25: Multi-Spectral LiDAR
Lesson 25: Atmospheric LiDAR
Lesson 26: Bathymetric LiDAR

What will you learn?
- Learn how LiDAR systems work
- Gain an in-depth knowledge of various LiDAR systems
- Understand the differences between discrete and full-waveform LiDAR data
- Acquire an understanding of many algorithms used for interpreting LiDAR data
- Learn how to tackle issues using LiDAR in various application areas
- Become aware of various available software able to process LiDAR data

Any prerequisites?
- Basic knowledge of Earth Observation (optional)
- A simple laptop or desktop computer to watch the lectures

Student Profile?
- Undergraduate & Postgraduate students
- PhD/EngD candidates
- Professionals
- Researchers and Academics
- Geospatial Analysts
- Remote Sensing Scientists

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