Accuracy assessment of vegetation community maps generated by aerial photography interpretation: Perspective from the tropical savanna, Australia

Lewis, Donna L. and Phinn, Stuart (2011) Accuracy assessment of vegetation community maps generated by aerial photography interpretation: Perspective from the tropical savanna, Australia. SPIE Journal of Applied Remote Sensing, 5 053565: 1-16. doi:10.1117/1.3662885

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Author Lewis, Donna L.
Phinn, Stuart
Title Accuracy assessment of vegetation community maps generated by aerial photography interpretation: Perspective from the tropical savanna, Australia
Journal name SPIE Journal of Applied Remote Sensing   Check publisher's open access policy
ISSN 1931-3195
Publication date 2011-11-22
Sub-type Article (original research)
DOI 10.1117/1.3662885
Open Access Status File (Publisher version)
Volume 5
Issue 053565
Start page 1
End page 16
Total pages 16
Place of publication Bellingham, WA, United States
Publisher SPIE - International Society for Optical Engineering
Language eng
Formatted abstract
Aerial photography interpretation is the most common mapping technique in the world. However, unlike an algorithm-based classification of satellite imagery, accuracy of aerial photography interpretation generated maps is rarely assessed. Vegetation communities covering an area of 530 km2 on Bullo River Station, Northern Territory, Australia, were mapped using an interpretation of 1:50,000 color aerial photography. Manual stereoscopic line-work was delineated at 1:10,000 and thematic maps generated at 1:25,000 and 1:100,000. Multivariate and intuitive analysis techniques were employed to identify 22 vegetation communities within the study area. The accuracy assessment was based on 50% of a field dataset collected over a 4 year period (2006 to 2009) and the remaining 50% of sites were used for map attribution. The overall accuracy and Kappa coefficient for both thematic maps was 66.67% and 0.63, respectively, calculated from standard error matrices. Our findings highlight the need for appropriate scales of mapping and accuracy assessment of aerial photography interpretation generated vegetation community maps.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2012 Collection
 
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Created: Wed, 18 Jan 2012, 20:27:10 EST by Alexandra Simmonds on behalf of School of Geography, Planning & Env Management