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Indigenous community tree inventory: assessment of data quality

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 s...

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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
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spelling my.utm.730432017-11-27T02:09:18Z http://eprints.utm.my/id/eprint/73043/ Indigenous community tree inventory: assessment of data quality Fauzi, M. F. Idris, N. H. Din, A. H. M. Osmana, M. J. Idris, N. H. Ishak, M. H. I. G70.212-70.215 Geographic information system 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. International Society for Photogrammetry and Remote Sensing 2016 Conference or Workshop Item PeerReviewed Fauzi, M. F. and Idris, N. H. and Din, A. H. M. and Osmana, M. J. and Idris, N. H. and Ishak, M. H. I. (2016) Indigenous community tree inventory: assessment of data quality. In: 2016 International Conference on Geomatic and Geospatial Technology, GGT 2016, 3 October 2016 through 5 October 2016, Kuala Lumpur; Malaysia. 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Fauzi, M. F.
Idris, N. H.
Din, A. H. M.
Osmana, M. J.
Idris, N. H.
Ishak, M. H. I.
Indigenous community tree inventory: assessment of data quality
description 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.
format Conference or Workshop Item
author Fauzi, M. F.
Idris, N. H.
Din, A. H. M.
Osmana, M. J.
Idris, N. H.
Ishak, M. H. I.
author_facet Fauzi, M. F.
Idris, N. H.
Din, A. H. M.
Osmana, M. J.
Idris, N. H.
Ishak, M. H. I.
author_sort Fauzi, M. F.
title Indigenous community tree inventory: assessment of data quality
title_short Indigenous community tree inventory: assessment of data quality
title_full Indigenous community tree inventory: assessment of data quality
title_fullStr Indigenous community tree inventory: assessment of data quality
title_full_unstemmed Indigenous community tree inventory: assessment of data quality
title_sort indigenous community tree inventory: assessment of data quality
publisher International Society for Photogrammetry and Remote Sensing
publishDate 2016
url 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
_version_ 1643656559619735552
score 13.211869

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