Citation
Ghiyamat, Azadeh and Mohd Shafri, Helmi Zulhaidi and Mohamed Shariff, Abdul Rashid
(2016)
Influence of tree species complexity on discrimination performance of vegetation indices.
European Journal of Remote Sensing, 49.
pp. 15-37.
ISSN 2279-7254
Abstract
Performance of different vegetation indices (VIs) in combination with single- and multipleendmember (SEM and MEM) for discriminating Corsican and Scots pines with different ages and Broadleaves tree species is demonstrated by using an airborne hyperspectral data. The analysis is performed in three different complexity levels. The results show by increasing tree species complexity, overall accuracy significantly reduced. An overall accuracy up to 90% is obtained from the first category with the least complexity; however, it is reduced to 55% in the third category with the highest complexity. By employing MEM, performance of normalized difference vegetation index (NDVI) is increased by 10%.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.5721/EuJRS20164902 |
| Publisher: | Italian Society of Remote Sensing |
| Keywords: | Airborne hyperspectral data; Different age covers; Multiple-endmember; Remote sensing; Tree species discrimination; Vegetation indices |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 19 May 2016 02:18 |
| Last Modified: | 19 May 2016 02:18 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5721/EuJRS20164902 |
| URI: | http://psasir.upm.edu.my/id/eprint/43414 |
| Statistic Details: | View Download Statistic |
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