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19 November 2012Application of lidar and optical data for oil palm plantation management in Malaysia
Proper oil palm plantation management is crucial for Malaysia as the country depends heavily on palm oil as a major
source of national income. Precision agriculture is considered as one of the approaches that can be adopted to improve
plantation practices for plantation managers such as the government-owned FELDA. However, currently the
implementation of precision agriculture based on remote sensing and GIS is still lacking. This study explores the
potential of the use of LiDAR and optical remote sensing data for plantation road and terrain planning for planting
purposes. Traditional approaches use land surveying techniques that are time consuming and costly for vast plantation
areas. The first ever airborne LiDAR and multispectral survey for oil palm plantation was carried out in early 2012 to
test its feasibility. Preliminary results show the efficiency of such technology in demanding engineering and agricultural
requirements of oil palm plantation. The most significant advantage of the approach is that it allows plantation managers
to accurately plan the plantation road and determine the planting positions of new oil palm seedlings. Furthermore, this
creates for the first time, digital database of oil palm estate and the airborne imagery can also be used for related
activities such as oil palm tree inventory and detection of palm diseases. This work serves as the pioneer towards a more
frequent application of LiDAR and multispectral data for oil palm plantation in Malaysia.
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Helmi Z. M. Shafri, Mohd Hasmadi Ismail, Mohd Khairil Mohd Razi, Mohd Izzuddin Anuar, Abdul Rahman Ahmad, "Application of lidar and optical data for oil palm plantation management in Malaysia," Proc. SPIE 8526, Lidar Remote Sensing for Environmental Monitoring XIII, 852608 (19 November 2012); https://doi.org/10.1117/12.979631