Indigenous community tree inventory: assessment of data quality

• Main Authors: Fauzi, M. F., Idris, N. H., Din, A. H. M., Osmana, M. J., Ishak, M. H. I.
• Format: Conference or Workshop Item
• Published: International Society for Photogrammetry and Remote Sensing 2016
• Subjects: G70.212-70.215 Geographic information system
• Online Access: http://eprints.utm.my/id/eprint/73043/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993995725&doi=10.5194%2fisprs-archives-XLII-4-W1-307-2016&partnerID=40&md5=70e81a71d8ec36094b9897f3a254cf9d

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.