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Environ 2006

Environ 2006. Integrating Landscape Metrics with Satellite Imagery. P. McKenzie. Rationale. Common Agricultural Policy (CAP) reform. Problems with existing information: Spatial coverage. Satellite imagery used. Methods of land classification. Costs. Significant improvements in data.

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Environ 2006

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  1. Environ 2006 Integrating Landscape Metrics with Satellite Imagery. P. McKenzie

  2. Rationale • Common Agricultural Policy (CAP) reform. • Problems with existing information: • Spatial coverage. • Satellite imagery used. • Methods of land classification. • Costs. • Significant improvements in data.

  3. Northern Ireland Countryside Survey • Field data on land cover • Available for late 1980’s and 1990’s • Needs to be updateable • Analogue format

  4. Records held in analogue format.

  5. Methodology to-date • Scan baseline and resurvey maps. • `Clean` scanned maps using embedded application. • Vectorization of map elements. • Updating attribute tables. • Conversion of NICS squares for use in Fragstats. • Supervised classification of SPOT imagery. • Generation of selected spatial metrics for baseline, resurvey and classified Imagery.

  6. Annotation Removal `Fill` gaps Speck Removal `Cleaning` Process

  7. Baseline CONTAG = 70.48 NP = 38 FRAC_MN = 1.1057 Classes = 5 (Types = 16) Resurvey CONTAG = 63.45 NP = 37 FRAC_MN = 1.0917 Classes = 5 (Types = 14)

  8. Baseline CONTAG = 72.94 NP = 39 FRAC_MN = 1.246 Classes = 5 (Types = 9) Resurvey CONTAG = 72.99 NP = 42 FRAC_MN = 1.293 Classes = 5 (Types = 11)

  9. Baseline CONTAG = 64.29 NP = 66 FRAC_MN = 1.212 Classes = 5 (Types = 20) Resurvey CONTAG = 63.84 NP = 70 FRAC_MN = 1.173 Classes = 5 (Types = 16)

  10. General changes occurring between Baseline and Resurvey: • Loss of seminatural patches. • Small increase in mean patch area. • Increase in number of woodland patches. • Increase in amount of built land. • Change in land cover e.g. Barley to perennial ryegrass

  11. SPOT 5 10m MS SPOT 5 2.5m Pan 07/07/04 SPOT / OASIS Program data, CNES (2004), distribution Spot Image S.A.

  12. SPOT 5 10m MS SPOT 5 2.5m Pan 13/10/05 SPOT / OASIS Program data, CNES (2005), distribution Spot Image S.A.

  13. NICS `Built` Area = 2.0 ha PLAND = 7.973 NP = 5 SHAPE_MN = 2.445 FRAC_MN = 1.146 CONTAG = 76.929

  14. SPOT `Built` Area = 1.017 ha PLAND = 4.07 NP = 83 SHAPE_MN = 1.286 FRAC_MN = 1.120 CONTAG = 81.761

  15. NICS `Agriculture` Area = 21.548 ha PLAND = 85.68 NP = 19 SHAPE_MN = 1.450 FRAC_MN = 1.096 CONTAG = 64.069

  16. SPOT `Agriculture` Area = 19.736 ha PLAND = 78.94 NP = 59 SHAPE_MN = 1.374 FRAC_MN = 1.090 CONTAG = 41.926

  17. Field Survey Classified Imagery

  18. Agriculture Semi natural Woodland CONTAG = 96.6 PPU = 0.2-04 Area (ha) = 0.15 TE = 901 NP = 5 PLAND = 0.61% CONTAG = 97.83 PPU = 0.12-04 Area (ha) = 0.1 TE = 284 NP = 3 PLAND = 0.4% CONTAG = 73.57 PPU = 1.2-04 Area (ha) = 23.0 TE = 11863 NP = 30 PLAND = 92.3%

  19. Conclusions • Land cover types have unique spatial expressions. • Landscape metrics quantify spatial patterns and permit objective dataset comparison. • High-Resolution satellite imagery useful in identifying small land parcels.

  20. Future work • Refine classification of imagery. • Investigate the role of farming practices on landscape metrics. • Investigate extent of pattern change between datasets. • Investigate how metrics change with time.

  21. P. McKenzie Landscape Ecology Group School Of Environmental Sciences University of Ulster mckenzie-s@ulster.ac.uk O.A.S.I.S Optimising Access to Spot Infrastructure for Science

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