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Conservation Science in the RSPB 2006

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22<br />

Mapp<strong>in</strong>g moorland habitats for birds<br />

us<strong>in</strong>g satellite images<br />

The abundance of golden plovers was<br />

poorly predicted by satellite imagery.<br />

Chris Gomersall (rspb-images.com)<br />

Uplands and blanket bogs <strong>in</strong> <strong>the</strong><br />

UK are of national and<br />

<strong>in</strong>ternational conservation<br />

significance, but some key bird<br />

populations <strong>the</strong>re have recently<br />

decl<strong>in</strong>ed. Understand<strong>in</strong>g <strong>the</strong><br />

reasons for this depends on good<br />

<strong>in</strong>formation on both birds and<br />

<strong>the</strong>ir habitats, but <strong>the</strong> extent of<br />

<strong>the</strong>se areas means this may be<br />

difficult to obta<strong>in</strong> us<strong>in</strong>g<br />

conventional methods.<br />

Comparison of <strong>the</strong> amount of hea<strong>the</strong>r <strong>in</strong> a subset of 26 2-km 2<br />

survey plots <strong>in</strong> south-east Scotland estimated from a supervised<br />

classification of a Landsat7 image (predicted) and derived from<br />

field-collected data (observed). Two data po<strong>in</strong>ts overlap.<br />

Prediced % hea<strong>the</strong>r<br />

80<br />

60<br />

40<br />

20<br />

The <strong>RSPB</strong> and <strong>the</strong> Scottish<br />

Agricultural College explored <strong>the</strong><br />

potential of satellite imagery to map<br />

moorland vegetation over extensive<br />

areas. Satellites measure differences<br />

<strong>in</strong> light reflected by different land<br />

cover. Us<strong>in</strong>g a subset of habitat data<br />

collected <strong>in</strong> a previous study,<br />

differences <strong>in</strong> reflectance between<br />

different plants were used to<br />

produce predicted vegetation maps<br />

for south-east Scotland,<br />

dist<strong>in</strong>guish<strong>in</strong>g <strong>the</strong> ma<strong>in</strong> plant species<br />

or taxa. These predictions were<br />

tested aga<strong>in</strong>st <strong>the</strong> rema<strong>in</strong><strong>in</strong>g data <strong>in</strong><br />

<strong>the</strong> reference set.<br />

Although <strong>the</strong> reference data had not<br />

been collected specifically for use<br />

with remote sens<strong>in</strong>g, common<br />

species (eg hea<strong>the</strong>r, purple moor<br />

grass) were mapped accurately.<br />

Relatively scarce plants (eg tall<br />

rushes, moss) were not so well<br />

mapped and predictions of variation<br />

<strong>in</strong> vegetation height were<br />

relatively weak.<br />

0<br />

0 20 40 60 80<br />

Observed % hea<strong>the</strong>r<br />

Us<strong>in</strong>g bird:habitat association<br />

models developed <strong>in</strong> <strong>the</strong> earlier<br />

study for red grouse and golden

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