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Oil palm age estimation using broad-band and narrow-band vegetation indices derived from Sentinel-2 data |
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| รหัสดีโอไอ | |
| Creator | Helmi Z. M. Shafri |
| Title | Oil palm age estimation using broad-band and narrow-band vegetation indices derived from Sentinel-2 data |
| Contributor | Angeli N. Jarayee, Yuhao Ang, Yang P. Lee, Shahrul A. Bakar, Haryati Abidin, Hwee S. Lim, Rosni Abdullah, Umar U. M. Junaidi, Na’aim Samad |
| Publisher | Asia-Pacific Journal of Science and Technology |
| Publication Year | 2567 |
| Journal Title | Asia-Pacific Journal of Science and Technology |
| Journal Vol. | 29 |
| Journal No. | 2 |
| Page no. | 13 (9 pages) |
| Keyword | Oil palm age, Remote sensing, Vegetation indices, Spatial distribution map |
| URL Website | https://so01.tci-thaijo.org/index.php/APST/ |
| Website title | https://so01.tci-thaijo.org/index.php/APST/article/view/273019 |
| ISSN | 2539-6293 |
| Abstract | In the past, the monitoring of crops in the agriculture sector was done manually. However, this approach is inconvenient as it consumes time, energy, and money. Various vegetation indices obtained through remote sensing data are utilized to monitor vegetation development. One main factor affecting the oil palm’s production and health is its age. Therefore, this study aimed to determine the relationship between vegetation indices (VIs) and the age of oil palm using polynomial regression and to predict the oil palm age by generating the spatial distribution map. The data used were raw data that consisted of the oil palm age and its boundaries and the satellite data, Sentinel-2 imagery. There were four VIs used in this study: Normalized Difference Vegetation Index (NDVI), Normalized Difference Red Edge (NDRE), Chlorophyll Content Index (CCI), and Soil Adjusted Vegetation Index (SAVI). Among these VIs, CCI achieved the best overall accuracy with R2 = 0.94, and the age of oil palm can be predicted using the equation y = -4.6062x2+27.864x+14.169. The findings demonstrate that the narrow-band vegetation index can effectively identify the spatial variation in the ages of oil palm trees and serve as an inventory for decision-making. |
