Mapping the distribution of oil palm using Landsat 8 data by comparing machine learning and non-machine learning algorithms

• Main Authors: Shaharum, Nur Shafira Nisa, Mohd Shafri, Helmi Zulhaidi, Wan Ab. Karim Ghani, Wan Azlina, Samsatli, Sheila, Yusuf, Badronnisa
• Format: Article
• Language: English
• Published: Universiti Putra Malaysia Press 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/69699/1/10%20JST-S0506-2019.pdf; http://psasir.upm.edu.my/id/eprint/69699/; http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(S1).%202019/10%20JST-S0506-2019.pdf

Oil palm is one of the major crops in Malaysia; it accounts for 47% of the global palm oil supply. Equatorial climate has provided Malaysia with the potential to produce oil palm biomass, which is one of the major contributors to the local economy. The utilisation of oil palm biomass as a source of...