Reference Level (RL) Training Videos
These videos are part of the LEAF Technical Training on Reference Level Development, held in Vietnam and Lao PDR in 2012. Instructors introduced participants, many for the first time, to some of the GIS techniques and analytical steps and types of spatial data required for Reference Level (RL) creation as part of Reducing Emissions from Deforestation and Forest Degradation (REDD+) to measure avoided and removed Greenhouse Gas (GHG) emissions from the forestry and land use sector.
The videos demonstrate the use of ArcGIS and IDRISI software for identifying Activity Data (Exercise 2), stratifying the forest (Exercise 3), and establishing forest carbon sampling design (Exercise 4). The videos concentrate on the manipulation and interpretation of remote sensing imagery to produce Activity Data as well as a carbon stratification map.
This training is part of LEAF's commitment to building technical capacity across the region for monitoring changes in forest carbon stocks and demonstrating innovations in sustainable land management.
Linking Historical Activity Data to Deforestation Drivers (Exercise 2)
Step 1 - Identifying Activity Data Based on Spatial Representation for Large Scale Agriculture and Mining
Step 2 - Identifying Activity Data Based on Spatial Representation of Road Infrastructure
Step 3 - Identifying Activity Data Based on Spatial Representation of Forest Management Practices
Step 4 - Assigning 2010 Land Use as Cause of Deforestation to Activity Data
Forest Carbon Stratification Techniques (Exercise 3)
Step 1 - Select and Create Spatial Factors for Deforestation
Step 2 - Evaluate Factor Maps against Real Change
Step 3 - Create and Evaluate Potential for Change Maps
Step 4 - Create Threat Classes
Step 5 - Create Future Potential for Change Map
Step 6 - Combine FUTURE POTENTIAL FOR CHANGE and FOREST TYPES maps
Forest Carbon Sampling Design & Plot Distribution (Exercise 4)
Step 1 - Create PSUs Grid (5x5 km)
Step 2 - Create a list of PSUs grids overlapping the stratum of interest
Step 3 - Select PSUs with probability proportion to size
Step 4 - Assign starting point (SSU1) for the cluster plot