Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 307-314, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W1/307/2016/
doi:10.5194/isprs-archives-XLII-4-W1-307-2016
 
30 Sep 2016
INDIGENOUS COMMUNITY TREE INVENTORY: ASSESSMENT OF DATA QUALITY
M. F. Fauzi1, N. H. Idris2, A. H. M. Din2, M. J. Osman1, N. H. Idris2, and M. H. I. Ishak3 1TropicalMap Research Group, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, UTM Johor Bahru 81310 Johor
2Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, UTM Johor Bahru 81310 Johor
3Department of Control and Mechatronics, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, UTM Johor Bahru 81310 Johor
Keywords: Citizen Science, Tree inventory, Spatial Data Quality, Indigenous People, Volunteered Geographic Information Abstract. The citizen science program to supplement authoritative data in tree inventory has been well implemented in various countries. However, there is a lack of study that assesses correctness and accuracy of tree data supplied by citizens. This paper addresses the issue of tree data quality supplied by semi-literate indigenous group. The aim of this paper is to assess the correctness of attributes (tree species name, height and diameter at breast height) and the accuracy of tree horizontal positioning data supplied by indigenous people. The accuracy of the tree horizontal position recorded by GNSS-enable smart phone was found to have a RMSE value of ± 8m which is not suitable to accurately locate individual tree position in tropical rainforest such as the Royal Belum State Park. Consequently, the tree species names contributed by indigenous people were only 20 to 30 percent correct as compared with the reference data. However, the combination of indigenous respondents comprising of different ages, experience and knowledge working in a group influence less attribute error in data entry and increase the use of free text rather than audio methods. The indigenous community has a big potential to engage with scientific study due to their local knowledge with the research area, however intensive training must be given to empower their skills and several challenges need to be addressed.
Conference paper (PDF, 853 KB)


Citation: Fauzi, M. F., Idris, N. H., Din, A. H. M., Osman, M. J., Idris, N. H., and Ishak, M. H. I.: INDIGENOUS COMMUNITY TREE INVENTORY: ASSESSMENT OF DATA QUALITY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 307-314, doi:10.5194/isprs-archives-XLII-4-W1-307-2016, 2016.

BibTeX EndNote Reference Manager XML