Fauzi, M. F. and Idris, N. H. and Yahya, M. H. and Din, A. H. M. and Idris, N. H. and Lau, A. M. S. and Ishak, M. H. L. (2016) Tropical forest tree positioning accuracy: a comparison of low cost GNSS-enabled devices. International Journal of Geoinformatics, 12 (2). pp. 59-66. ISSN 1686-6576
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Abstract
Today, faster than any previous communication technology, mobile technology such as smartphones, tablet phone and notebook has made a huge difference to the lives of a great number of people. Although one can collect data through a number of traditional channels, e.g. pen and paper and more advanced survey equipment, low cost smartphone and tablet phone are emerging as a good choice. To investigate the potential and performance of Global Navigation Satellite System (GNSS)-enabled smartphone and tablet phone in data collection, a study has been conducted at Forest Research Institute Malaysia (FR1M) Kepong, Kuala Lumpur. Geotrees mobile collector using a Sony Xperia C3 smartphone and Samsung Galaxy Tab 3 were used to geo-locate the attributes of tree species within the area of interest. Comparison was then made using a handheld GPS and a Total Station. The findings indicate that the horizontal positioning accuracy detected by the instruments used in this study were mostly accurate within 5 to 15m. The root mean square (RMS) errors were higher in the areas surrounded by larger canopy diameter trees. Based on the result, despite limited coverage of sky visibility, a GNSS-enabled smartphone and tablet phone was sufficiently adequate to augment the purpose of tree inventory for a certain area, and might suit to serve for low accuracy application.
Item Type: | Article |
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Uncontrolled Keywords: | accuracy assessment, comparative study, error analysis, forest inventory, GNSS, positioning, tropical forest |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 71164 |
Deposited By: | Narimah Nawil |
Deposited On: | 15 Nov 2017 01:34 |
Last Modified: | 15 Nov 2017 01:34 |
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