The Utilisation of Cloud Computing and Remote Sensing Approach to Assess Environmental Sustainability in Malaysia

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dc.contributor.authorN S N Shaharum
dc.contributor.authorH Z M Shafri,
dc.contributor.authorW A W A K Ghani
dc.contributor.authorS Samsatli
dc.contributor.authorB Yusuf
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T01:10:57Z
dc.date.available2024-05-20T01:10:57Z
dc.date.issued2019
dc.description.abstractThis study implemented a cloud computing approach utilising an open source Remote Ecosystem Monitoring Assessment Pipeline (REMAP) to map the changes of Land use land cover (LULC) over Peninsular Malaysia utilising Landsat data obtained from two different periods (2003 and 2017). This approach has utilised a powerful inbuilt machine learning algorithm, Random Forest (RF) to test the performance of cloud computing using REMAP to produce LULC maps over Peninsular Malaysia.
dc.identifier.citationShaharum, N. S. N., Shafri, H. Z. M., Ghani, W. A. W. A. K., Samsatli, S., & Yusuf, B. (2019). The utilisation of cloud computing and remote sensing approach to assess environmental sustainability in Malaysia. In IOP Conference Series: Earth and Environmental Science (Vol. 230, No. 1, p. 012109). IOP Publishing.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1166
dc.language.isoen
dc.publisherIOP Publishing
dc.publisher.alternativeIOP Conference Series: Earth and Environmental Science
dc.titleThe Utilisation of Cloud Computing and Remote Sensing Approach to Assess Environmental Sustainability in Malaysia
dc.typeJournal

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