Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
15 |
5 |
8 |
4 weeks |
120 hours |
Instructor
Luiz Carlos Estraviz Rodriguez
Objective
The growth of aboveground forest biomass and the analysis of horizontal and vertical vegetation
coverage in these areas are important parameters used to assess the quality of natural ecosystems
and forest plantations. Demanded by scientists, natural resource managers and forestry and
agricultural professionals, this type of monitoring can be supported by laser scanning technologies
known as LiDAR (Light Detection and Ranging). In this course, we introduce the principles of LiDAR
technologies embarked in orbital, aerial (manned and unmanned) and terrestrial platforms, their
different modalities and the most used procedures for the analysis of LiDAR data. The target audience
comprises people interested in the use of new technologies for monitoring the growth of plants and
trees, and measuring the biomass and carbon stored in these populations.
Content
1. History of LiDAR technologies; 2. LiDAR Applications in Forestry and Plant Sciences; 3. Evolution of
scientific publications and current state of the art; 4. Principles of laser; 5. LiDAR sensors available; 6.
LiDAR data storage - different formats; 7. Modalities of LiDAR scanning in orbital, airborne and
terrestrial platforms; 8. LiDAR data processing; 8.1 Software; 8.2. ALS data for inventory purposes;
8.3. TLS data for measuring trees; 9. Exercises and conclusion work.
Bibliography
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Gorgens, EB; Silva, AGP; Rodriguez, LCE. (2014) LiDAR: aplicações florestais. Editora CRV, Curtitiba.
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