Machine learning and remote sensing applications for assessing land use and land cover changes for under-monitored basin
Urban sprawling caused by industrial and economic growth has significantly affected land use and land cover (LULC). Using satellite imagery for real-time examination in Kuantan has become exceedingly expensive due to the scarcity and obsolescence of real-time LULC data. With the advent of remote sen...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42986/1/Machine%20learning%20and%20remote%20sensing%20applications%20for%20assessing%20land%20use%20and%20land%20cover%20changes%20for%20under-monitored%20basin.pdf http://umpir.ump.edu.my/id/eprint/42986/ https://doi.org/10.47836/pjst.32.6.15 |
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