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• Support a range of strategic policy applications (e.g., for land use planning, ecosystem restoration, targeting agri-environment schemes and planning integrated
landscapes);
• Provide a source for collating regional information for reporting purposes;
• Help direct fieldwork where the specific habitat type is uncertain;
• Provide a baseline against which to monitor change;
• Provide an information source to feed into other analyses (e.g. green infrastructure and connectivity modelling).
• Provide a baseline for ecosystem service mapping
The sub-regional and more localised scale maps focused on areas known to be
important for biodiversity and included the Norfolk Broads and the North Norfolk
Coast. These maps were developed to:
• Inform site-based management for specific plant communities and the species
that depend upon them;
• Increase understanding of how the different components of the habitats identified
in remote sensing imagery relate to habitat condition;
• Provide a cost-effective alternative to traditional survey techniques – dynamic
habitats, fragmented habitats and those that occur in complex mosaics and in
inaccessible locations are difficult and costly to map by fieldwork.
The site level maps provided more detailed information on habitats and features
in designated sites and were intended to:
• Be used by site managers
• Help managers to understand the condition of habitats and other natural features
on the site
• Build an understanding of the extent of alien species invasion
Mapping Approach
The project evaluated the transferability of mapping techniques that use the Object
Based Image Analysis (OBIA) method developed for Wales (Lucas et al. 2011), on
the premise that if the same techniques could be used in a very different biogeographical area of the United Kingdom, then it may be possible to produce nationally
consistent map data. The project also had a specific focus on ensuring knowledge
exchange, enabling habitat practitioners to better understand EO imagery, products
and techniques.
Integrated Monitoring for Biodiversity Using Remote Sensing: From Local…
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