16.05.2015 Views

Vegetation Classification and Mapping Project Report - USGS

Vegetation Classification and Mapping Project Report - USGS

Vegetation Classification and Mapping Project Report - USGS

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Accuracy Assessment <strong>and</strong> Additional Map Classes<br />

4.2 Results<br />

4.2.1 Accuracy Assessment Samples<br />

In 2006, 662 accuracy assessment locations<br />

were sampled (fig. 10 ). Data from 630 of<br />

these locations were used in the accuracy<br />

assessment analysis. The team eliminated<br />

32 accuracy assessment points from the<br />

accuracy assessment analysis in cases<br />

where the team did not fully underst<strong>and</strong><br />

the source of the error. This occurred in<br />

areas where the sampled point was closer<br />

to the polygon boundary than the error<br />

recorded by the GPS unit. The team was<br />

not sure if the thematic error was due to<br />

error in georeferencing or to error in the<br />

vegetation map database. Also, points<br />

were eliminated when the vegetation<br />

type recorded did not match the species<br />

information recorded.<br />

4.2.2 Base Map Class Accuracy <strong>and</strong><br />

Summary Statistics<br />

4.2.2.1 Accuracy<br />

The overall accuracy of the 46 base map<br />

classes was 40.6%; kappa index was<br />

42.2% +/- 0.22. As the kappa index <strong>and</strong><br />

its st<strong>and</strong>ard error use only map classes<br />

with both sample <strong>and</strong> corresponding<br />

reference data, it is slightly greater than the<br />

overall accuracy. The contingency table<br />

for base map class accuracy is presented in<br />

Appendix H1.<br />

The nine l<strong>and</strong>-use map classes were not<br />

assessed (table 12) but the five l<strong>and</strong>form<br />

defined map classes were. Two of the<br />

vegetated map classes were not assessed<br />

for accuracy; each consisted of only one<br />

polygon outside the park boundaries.<br />

Three base map classes, S<strong>and</strong>, Coyote<br />

Willow Shrubl<strong>and</strong> <strong>and</strong> Blue Sage Dwarfshrubl<strong>and</strong>,<br />

had both 100% user <strong>and</strong><br />

producer accuracy. Another six map<br />

classes (table 12) met the 80% accuracy<br />

st<strong>and</strong>ard for either the user or producer<br />

accuracy but not both. Except for<br />

producer accuracy for Barren Badl<strong>and</strong>s<br />

(87.5%), accuracy for the seven most<br />

abundant map classes was less than 80%.<br />

Figure 10. Location of 662 accuracy assessment points at Petrified Forest<br />

National Park observed in 2006.<br />

4.2.2.2 Summary Statistics<br />

Seven base map classes individually<br />

contributed 5% or more to the l<strong>and</strong> cover<br />

of the park (excluding environs); together<br />

they constitute just over 77% of the total<br />

park l<strong>and</strong> cover (table 13). The most<br />

abundant map classes were:<br />

● New Mexico Saltbush / Galleta – Alkali<br />

Sacaton Shrub Herbaceous <strong>Vegetation</strong><br />

(24.2%, fig. 11)<br />

37

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!