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In recent years, LiDAR (Light Detection and Ranging or Laser Imaging Detection and Ranging) technology has become an essential tool for studying and managing terrestrial ecosystems. The new scientific and technological challenges in this area are present in numerous domains present in university, professional and even educational life at various levels. The three-dimensional information provided by these technologies, describing the structure of the forest in detail and continuously, can be used to estimate the main variables of interest for forest management, with high resolution and without sampling error. The forest inventory constitutes the basis from which it is possible to carry out appropriate planning in terms of the use of forest resources. LiDAR information, captured by aerial or ground-based sensors, represents a great opportunity to reduce the costs of forest inventories and provide continuous spatial information on height and vegetation cover data, which can be used to estimate biomass, carbon and timber stocks, generate high-resolution maps of forest areas, evaluate fuel or fire risk models, etc. Forest managers and owners are challenged to use this information to improve decision-making in sustainable forest management, while reducing costs. It is important to promote training and knowledge transfer of this type of technology both at university and professional levels.

Goals

1. Introduce trainees to the knowledge and interpretation of LiDAR technology and its application to forest inventory. The course also focuses on the practical aspects of applying LiDAR technology in the field of geomatics, surveying and forestry sciences.


2. Develop skills for conducting forest inventories based on LiDAR technology. The course covers the processing of LiDAR data, from its capture to modeling, validation and export of results using free software for visualization and processing of LiDAR data and for statistical analysis with the R software.


3. Application of learned concepts to practical cases of forest inventory with LiDAR technology, using stand and individual tree methods

  • Contents

    T.- Theoretical, P.- Practical

Recipients

Aimed at technicians in the forestry sector, although undergraduate, master's or doctoral students may also apply, with preference given to students in the Forestry and Natural Resources Engineering area.

Requirements

Students must have knowledge of Excel, knowledge of QGIS and basic knowledge of R is advisable

Applications

Opening - May 13, 2024

Date (tentatively) - August 30, 2024


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Coordination and Trainers

- Juan Guerra Hernandez (coordinator)

juanguerra@isa.ulisboa.pt

 

- Margaret Thomas

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