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Influence of tree species complexity on discrimination performance of vegetation indices


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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Official URL or Download Paper: http://www.aitjournal.com/articleView.aspx?ID=975

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
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