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Vegetation Classification and Mapping Project Report - USGS

Vegetation Classification and Mapping Project Report - USGS

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Results <strong>and</strong> Discussion<br />

Plots<br />

A total of 67 vegetation plots were visited over two trips (Figure 5, page 17). The first trip in<br />

October 2008 resulted in 46 vegetation plots, <strong>and</strong> the second trip in January 2009 afforded 21<br />

vegetation plots. Thirty-nine of the plots were directly visited while 28 were recorded from “offset”<br />

locations. Appendix C lists the 54 vegetation species observed in the field during this<br />

project.<br />

<strong>Mapping</strong> Classes<br />

There were a total of 26 mapping classes used in classifying all polygons that were digitized<br />

(Table 6, page 22). Of the 26 mapping classes, there were 11 Virgin Isl<strong>and</strong>s Sub-formations, four<br />

Alliances, <strong>and</strong> 11 Associations that are described in the <strong>Vegetation</strong> <strong>Classification</strong> (Appendix A).<br />

Twenty of the 26 mapping classes had one or more vegetation plots representing them (Table 6,<br />

page 22). Four of the six mapping classes lacking vegetation plots were directly visited <strong>and</strong><br />

confirmed although a formal vegetation plot data collection did not occur (Beach, Developed<br />

Area, Salt Pond, <strong>and</strong> Coastal Southgate Rock Cliff Alliance). One of the six mapping classes<br />

lacking vegetation plots was walked through on the way to other vegetation plots (Pisonia<br />

subcordata Woodl<strong>and</strong> Association). One of the six mapping classes lacking vegetation plots was<br />

not directly visited <strong>and</strong> was only identified to the Virgin Isl<strong>and</strong>s Sub-formation (Gibney et al.<br />

2000) level (Semi-deciduous Forest).<br />

Polygons<br />

A total of 51 polygons were digitized (Figures 5 <strong>and</strong> 6, pages 17 <strong>and</strong> 18) based on interpretation<br />

of the imagery used (see Photo-interpretation Key Appendix B). Thirty of the 51 polygons had<br />

one or more vegetation plots occurring in them (Figure 5, page 17). Sixteen of the 21 polygons<br />

lacking vegetation plots were directly visited <strong>and</strong> confirmed although a formal vegetation plot<br />

data collection did not occur (six polygons of Beach, four polygons of Developed Area, one<br />

polygon of Salt Pond, <strong>and</strong> five polygons of Coastal Southgate Rock Cliff Alliance). One of the<br />

21 polygons lacking vegetation plots was walked through on the way to other vegetation plots<br />

(Pisonia subcordata Woodl<strong>and</strong> Association). Four of the 21 polygons lacking vegetation plots<br />

were not visited (one polygon of Pisonia subcordata Woodl<strong>and</strong> Association, two polygons of<br />

Semi-deciduous Forest, <strong>and</strong> one polygon of Gallery Semi-deciduous Forest). Nine of the total 51<br />

polygons were smaller than the minimum mapping unit of 400m 2 (one polygon of Laguncularia<br />

racemosa Shrubl<strong>and</strong> Association, one polygon of Coastal Southgate Rock Cliff Alliance, three<br />

polygons of Beach, <strong>and</strong> four polygons of Developed Area). A vegetation classified map was<br />

designed identifying all of the map classes representing polygons (Figure 6, page 18). Some<br />

polygons graded gently into one another <strong>and</strong> where to place the polygon boundary in the ecotone<br />

was difficult to determine <strong>and</strong> was made with the mapper’s best judgment.<br />

Accuracy Assessment<br />

SFCN did not conduct a separate accuracy assessment of the classification accuracy as 30 of the<br />

51 polygons had vegetation plot data collection. In addition, Beach (6 polygons), Developed<br />

Area (4 polygons), Salt Pond (1 polygon) <strong>and</strong> Coastal Southgate Rock Cliff Alliance (5<br />

polygons) were directly visited <strong>and</strong> confirmed although a formal vegetation plot data collection<br />

did not occur. Thus 92% of the polygons either had vegetation data collection or were directly<br />

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