six annual surveys of power lines across some of the key focal areas ( including Glen Bowen and Hell ’ s Gates Stations ).
As an example output , Figure 36 shows the previously available 1km x 1km gully density map ( green and red squares ) overlayed with Griffith University ’ s semi-automated mapping of active gullies at a 1m by 1m resolution .
Figure
36 . Example of the high resolution semi-automated mapped gullies based on LiDAR data , compared to the underlying 100m x 100m grid gully density map previously available for prioritisation . Source : Brooks et al . ( 2018 ).
The initial objectives of Stage 3 of the project were to :
• Develop costed rehabilitation concept plans for an example of each of the key gully types found in the BBB ( maximum of 6 ).
• Develop a universal framework for assessing cost-effectiveness of erosion rehabilitation in the BBB .
• Develop a framework for rehabilitation site selection ( over and above the straight biophysical prioritisation framework from Stage 2 ) that incorporates a range of socio-economic considerations , including aspects such as logistics , spatial clustering , cost effectiveness etc .
• Produce a spatial prioritisation based on cost-effectiveness that incorporates both the biophysical characteristics ( i . e ., Stage 2 outcomes ) and socio-economic and logistical considerations outlined in Stage 3 .
The following has been derived ( and largely extracted ) from the Executive Summary of the Final Report Summary ( Brooks ., et al . 2020 ). Readers should refer to the full report for further explanation and definitions .
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