posted on 2024-07-11, 16:30authored byFlorina Stephanie Richard
This study aimed to classify land use land cover (LULC) in Betong, Sarawak using Landsat-8 data, machine learning and the Open Data Cube. This study developed and compared the performance of machine learning models for LULC classification. From the LULC generated, the thesis focused specifically on analysing oil palm land use trends in Betong and its environmental impacts. Hence, providing valuable information for oil palm land use management in the focus area.
History
Thesis type
Thesis (Masters by research)
Thesis note
This thesis is submitted in fulfillment for the degree of Master of Science (by Research), Swinburne University of Technology, 2021.