Machine learning and remote sensing applications for assessing land use and land cover changes for under-monitored basin

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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Bibliographic Details
Main Authors: Muhammad Amiruddin, Zulkifli, Anak Gisen, Jacqueline Isabella, Syarifuddin, Misbari, Shairul Rohaziawati, Samat, Yu, Qian
Format: Article
Language:English
Published: Universiti Putra Malaysia 2024
Subjects:
TA Engineering (General). Civil engineering (General)
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

Internet

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

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