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Estimating oil palm yields using vegetation indices derived from quickbird


Citation

Balasundram, Siva Kumar and Memarian, Hadi and Khosla, Rajiv (2013) Estimating oil palm yields using vegetation indices derived from quickbird. Life Science Journal, 10 (4). pp. 851-860. ISSN 1097-8135; ESSN: 2372-613X

Abstract

A single-date archived QuickBird satellite imagery and oil palm yield data collected over a 12-year time series were used to generate empirical oil palm yield models under Malaysian conditions. Vegetation indices and yield data were subject to correlation analysis, followed by regression modelling and model validation using standard metrics. Results showed a strong positive correlation between vegetation indices and oil palm yields, across different planting periods. Among vegetation indices, RVI showed the best correlation with oil palm yield. Empirical models were found to be significant for the 1990-2002 and the 1998-1999 planting periods. Models built using RVI and MSAVI showed a strong fit between estimated yield and observed yield. In the 1998-1999 planting period, however, only RVI and GNDVI showed reliable strength in yield estimation. Overall, findings of this study suggest that selected QuickBird-derived vegetation indices can be used to estimate oil palm yields with reliable accuracy.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
DOI Number: https://doi.org/10.7537/marslsj100413.109
Publisher: Marsland Press
Keywords: Oil palm; Satellite remote sensing; Vegetation indices; Empirical modeling
Depositing User: Norhazura Hamzah
Date Deposited: 15 Aug 2014 01:07
Last Modified: 19 Jul 2018 04:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.7537/marslsj100413.109
URI: http://psasir.upm.edu.my/id/eprint/29472
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