Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram

• Main Author: Faris Francis Singaram, Fareena
• Format: Thesis
• Language: English
• Published: 2021
• Subjects: Remote Sensing; Geographic information systems
• Online Access: https://ir.uitm.edu.my/id/eprint/43981/1/43981.pdf; https://ir.uitm.edu.my/id/eprint/43981/

Mangroves forest are important in providing services and goods to its surrounding and environment. There are differences in mangrove age for each tree and according to previous studies the factors that cause the differences in the age class is because of lightning and it is more frequent in the matu...