Comparison Of Google Earth Engine- Based Machine Learning Classifiers For Mapping Aquaculture Ponds In Sungai Udang, Penang

Rajandran, Arvinth (2023) Comparison Of Google Earth Engine- Based Machine Learning Classifiers For Mapping Aquaculture Ponds In Sungai Udang, Penang. Masters thesis, Universiti Sains Malaysia.

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Abstract

This study aims to evaluate the performance of different built-in machine learning classifiers such as Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Trees (CART) to map aquaculture ponds over Sungai Udang, Penang.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > H Social Sciences (General) > H1-99 Social sciences (General)
Divisions: Pusat Pengajian Ilmu Kemanusiaan (School of Humanities) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 13 Mar 2024 06:24
Last Modified: 13 Mar 2024 06:24
URI: http://eprints.usm.my/id/eprint/60173

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