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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| Format: | Conference or Workshop Item |
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International Society for Photogrammetry and Remote Sensing
2016
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| _version_ | 1796862012184068096 |
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| 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. |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T20:05:07Z |
| format | Conference or Workshop Item |
| id | utm.eprints-73043 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:05:07Z |
| publishDate | 2016 |
| publisher | International Society for Photogrammetry and Remote Sensing |
| record_format | dspace |
| spelling | utm.eprints-730432017-11-27T02:09:18Z http://eprints.utm.my/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 |
| 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 |
| title | 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_short | Indigenous community tree inventory: assessment of data quality |
| title_sort | indigenous community tree inventory assessment of data quality |
| topic | G70.212-70.215 Geographic information system |
| work_keys_str_mv | AT fauzimf indigenouscommunitytreeinventoryassessmentofdataquality AT idrisnh indigenouscommunitytreeinventoryassessmentofdataquality AT dinahm indigenouscommunitytreeinventoryassessmentofdataquality AT osmanamj indigenouscommunitytreeinventoryassessmentofdataquality AT idrisnh indigenouscommunitytreeinventoryassessmentofdataquality AT ishakmhi indigenouscommunitytreeinventoryassessmentofdataquality |