Classification and change detection of Sabah mangrove forest using decision-tree learning technique
The objective of this study is to determine the potential of decision tree-learning technique to classify and detects the changes of the Sabah mangrove forest area. The study area was conducted in the Mengkabong mangrove forest which is located on the west coast of Sabah. The multi-temporal of Lands...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/1635/1/FH03-FBIM-18-15027.jpg http://eprints.unisza.edu.my/1635/ |
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