Citation
Mohd Shafri, Helmi Zulhaidi and Roslan, Siti Nur Aliaa
(2013)
Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
Global Journal of Medicinal Plant Research, 1 (2).
pp. 184-189.
ISSN 2074-0883
Abstract
This paper describes the development of Automated Red-edge Information Feature (ARIF) program for evaluating vegetation stress condition. The program is developed in the Interactive Data Language (IDL) environment and will enable vegetation hyperspectral remote sensing data to be analysed easily in terms of the red-edge position. Results from this program was verified using oil palm data from two (2) states of condition, they are healthy and not healthy. The data was taken using a field spectrometer and the result obtained was analyzed using ARIF. It was formed to correlate very well into the real world condition.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| Keywords: | Hyperspectral; Red edge; Plant health |
| Depositing User: | Muizzudin Kaspol |
| Date Deposited: | 11 Jun 2014 00:37 |
| Last Modified: | 07 Oct 2015 23:56 |
| URI: | http://psasir.upm.edu.my/id/eprint/28547 |
| Statistic Details: | View Download Statistic |
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