Influence of tree species complexity on discrimination performance of vegetation indices

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 d...

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Main Authors: Ghiyamat, Azadeh, Mohd Shafri, Helmi Zulhaidi, Mohamed Shariff, Abdul Rashid
Format: Article
Language:English
Published: Italian Society of Remote Sensing 2016
Online Access:http://psasir.upm.edu.my/id/eprint/43414/1/Influence%20of%20tree%20species%20complexity%20on%20discrimination%20performance%20of%20vegetation%20indices.pdf
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author Ghiyamat, Azadeh
Mohd Shafri, Helmi Zulhaidi
Mohamed Shariff, Abdul Rashid
author_facet Ghiyamat, Azadeh
Mohd Shafri, Helmi Zulhaidi
Mohamed Shariff, Abdul Rashid
author_sort Ghiyamat, Azadeh
collection UPM
description 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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spelling upm.eprints-434142016-05-19T02:18:21Z http://psasir.upm.edu.my/id/eprint/43414/ Influence of tree species complexity on discrimination performance of vegetation indices Ghiyamat, Azadeh Mohd Shafri, Helmi Zulhaidi Mohamed Shariff, Abdul Rashid 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%. Italian Society of Remote Sensing 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43414/1/Influence%20of%20tree%20species%20complexity%20on%20discrimination%20performance%20of%20vegetation%20indices.pdf 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 http://www.aitjournal.com/articleView.aspx?ID=975 10.5721/EuJRS20164902
spellingShingle Ghiyamat, Azadeh
Mohd Shafri, Helmi Zulhaidi
Mohamed Shariff, Abdul Rashid
Influence of tree species complexity on discrimination performance of vegetation indices
title Influence of tree species complexity on discrimination performance of vegetation indices
title_full Influence of tree species complexity on discrimination performance of vegetation indices
title_fullStr Influence of tree species complexity on discrimination performance of vegetation indices
title_full_unstemmed Influence of tree species complexity on discrimination performance of vegetation indices
title_short Influence of tree species complexity on discrimination performance of vegetation indices
title_sort influence of tree species complexity on discrimination performance of vegetation indices
url http://psasir.upm.edu.my/id/eprint/43414/1/Influence%20of%20tree%20species%20complexity%20on%20discrimination%20performance%20of%20vegetation%20indices.pdf
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