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ALPMON FINAL REPORT - ARC systems research

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Contract ENV4-CT96-0359 <strong>ALPMON</strong><br />

Cordevole test site (RSDE) – Erosion Risk Assessment.:<br />

Customer <strong>ALPMON</strong><br />

User requirement Minimum Area Positional Category Spatial Positional Classification Accuracy<br />

Accuracy<br />

Resolution Accuracy<br />

Forest border 50x50 m 25 m classified 30 m 16 m good 97 %<br />

Forest type 50x50 m 25 m classified 30 m 16 m good 98 %<br />

Forest stand density 50x50 m 25 m classified 30 m 16 m good 85 %<br />

Vegetation type (grass areas) 50x50 m 25 m classified 30 m 16 m unsatisfactory 70 %<br />

Vegetation cover ( grass areas) 50x50 m 25 m classified 30 m 16 m good 79 %<br />

Areas without vegetation 50x50 m 25 m classified 30 m 16 m good 89 %<br />

Land cover 50x50 m 25 m classified 30 m 16 m good 84 %<br />

1:50,000-1:100,000 1:25,000 (national customers)<br />

Requirement <strong>ALPMON</strong> Requirement <strong>ALPMON</strong> Conventional methods<br />

Forest / non forest could be classified - - -<br />

coniferous, deciduous and mixed could be classified<br />

Forest type could be classified Coniferous, deciduous,<br />

mixed<br />

the classes < 30%, 30-60, > 60% could be classified<br />

Crown closure could be classified Crown closure<br />

< 30%, 30–60%, > 60%<br />

could be classified<br />

could be classified Pasture cover<br />

Vegetation cover<br />

(grass areas)<br />

60%<br />

Rock /gravel / soil could be classified Rock / gravel / Soil could be classified as one class, but not be separated<br />

Sealed surfaces could be classified Streets/ settlements some could be classified some small settlements should be digitised<br />

Swamp could be classified<br />

Water Lakes could be classified<br />

Creeks, rivers could not be classified rivers have been digitised<br />

Meadow / pasture Meadow / pasture could be classified<br />

Rhododendron sp. /<br />

Shrubs and low growing could be classified<br />

Juniperus sp.<br />

trees;<br />

JR, RSDE, ALU, LMU, Seibersdorf, WSL 117

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