Remote sensing applications for forest inventory and forest management planning

Tuesday 19.12.2017 09:00 – 14:00
09:00 – 09:30
- Introduction to the seminar
- Global perspectives of advanced remote sensing techniquesSession 1
09:45 – 11:30 (Session 1)
- Principles of LiDAR and Airborne Laser Scanning
- Terminology & Theory
- Factors to considering when capturing information
- Pointclouds, the outcome
- Real case examples of ALS-based workflow
- Publicly available resources
11:30 – 13:30 (Session 2)
- The Digital Terrain Model (DTM) from the LiDAR
- The Canopy Height Model (DTM) from the LiDAR
- Preparing the input for ALS-based forest inventory: Part 1
         * Downloading LiDAR data from PNOA: step by step from the raw pointcloud to ALS-based forest inventory
         * Software: FUGRO, FUSION, RStudio and Lastools
         * Theory and example: real case scenarios to considered when processing the data

Wednesday 20.12.2017 15:00 – 19:00
15:00 – 17:00 (Session 3)
- ALS-based Forest inventory: the area-based (ABA) approach: Part 3
- Theoretical principles
- Estimation and prediction of area-based forest attributes: examples
- Lab exercise
         * Software: FUSION, RStudio and QGISBreak 30 min
17:30 – 19:00 (Session 4)
- Improving the method: Enhanced Area Based Approach (EABA) and segment-based planning
- Introduction to Individual Tree Detection methods (ITD)
- Lab exercise
         * Software: FUSION, RStudio and QGIS

Thursday 21.12.2017 09:00 – 14:00
09:00 – 11:00 (Session 5)
- ALS-based forest management planning
- How to maximise LiDAR data into spatial forest problems
- How to generate dynamic treatment units along a forest plan
- Cell-based versus segment based forest planningBreak 30 min
11:30 – 14:00 (Session 6)
- Timely research topics using ALS data
- Monitoring changes: a case study on Pinus radiata plantations
- Discussion and thoughts on the seminar & ALS-based studies