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

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

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.

Bibliographic Details
Main Author:	Rajandran, Arvinth
Format:	Thesis
Language:	English
Published:	2023
Subjects:	H1-99 Social sciences (General)
Online Access:	http://eprints.usm.my/60173/ http://eprints.usm.my/60173/1/Pages%20from%20ARVINTH%20AL%20RAJANDRAN%20-%20TESIS.pdf

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