Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin
Oil palm is crucial to ecology, the environment, and the economy. If improperly managed and monitored, unrestrained oil palm activities could contribute to deforestation, which can seriously affect the environment. Remote sensing provides a means to effectively detect and map oil palms from space. R...
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my-uitm-ir.691812023-05-19T09:12:18Z Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin 2022 Sharuddin, Nurul Ain Nabilah Aerial geography Agriculture and the environment Oil palm is crucial to ecology, the environment, and the economy. If improperly managed and monitored, unrestrained oil palm activities could contribute to deforestation, which can seriously affect the environment. Remote sensing provides a means to effectively detect and map oil palms from space. Recent developments in big data and cloud computing enable quick mapping on a wide scale. However, the use of cloud computing remains limited and challenging in Malaysia. Thus, this study used image Sentinel 2 processed in Google Earth Engine (GEE) to classify mature and immature oil palms' land cover in TDM Plantation, Terengganu. Four (4) machine learning algorithms are used in classification, such as Random Forest (RF), smile Classification and Regression Tree (smileCART), Gradient Tree Boost (GTB), and Minimum Distance (MD). Overall accuracy (OA) and kappa produced by Random RF, GTB, smileCART and MD were OA = 85.14%, kappa = 0.80, OA = 84.00%, kappa = 0.78 , OA = 83.42%, kappa = 0.77 and OA = 78.29%, kappa = 0.71 respectively, for 6 classes (water body, built up, mature, immature, bare land and forest). Therefore, image Sentinel-2 efficiently detected mature and immature oil palms' land cover using the RF algorithm implemented in GEE. 2022 Thesis https://ir.uitm.edu.my/id/eprint/69181/ https://ir.uitm.edu.my/id/eprint/69181/1/69181.pdf text en public degree Universiti Teknologi MARA. Perlis Faculty of Architecture, Planning and Surveying |
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Aerial geography Agriculture and the environment |
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Aerial geography Agriculture and the environment Sharuddin, Nurul Ain Nabilah Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
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Oil palm is crucial to ecology, the environment, and the economy. If improperly managed and monitored, unrestrained oil palm activities could contribute to deforestation, which can seriously affect the environment. Remote sensing provides a means to effectively detect and map oil palms from space. Recent developments in big data and cloud computing enable quick mapping on a wide scale. However, the use of cloud computing remains limited and challenging in Malaysia. Thus, this study used image Sentinel 2 processed in Google Earth Engine (GEE) to classify mature and immature oil palms' land cover in TDM Plantation, Terengganu. Four (4) machine learning algorithms are used in classification, such as Random Forest (RF), smile Classification and Regression Tree (smileCART), Gradient Tree Boost (GTB), and Minimum Distance (MD). Overall accuracy (OA) and kappa produced by Random RF, GTB, smileCART and MD were OA = 85.14%, kappa = 0.80, OA = 84.00%, kappa = 0.78 , OA = 83.42%, kappa = 0.77 and OA = 78.29%, kappa = 0.71 respectively, for 6 classes (water body, built up, mature, immature, bare land and forest). Therefore, image Sentinel-2 efficiently detected mature and immature oil palms' land cover using the RF algorithm implemented in GEE. |
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Thesis |
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Bachelor degree |
author |
Sharuddin, Nurul Ain Nabilah |
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Sharuddin, Nurul Ain Nabilah |
author_sort |
Sharuddin, Nurul Ain Nabilah |
title |
Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
title_short |
Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
title_full |
Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
title_fullStr |
Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
title_full_unstemmed |
Detection of mature and immature oil palm from image Sentinel-2 using Google Earth Engine (GEE) / Nurul Ain Nabilah Sharuddin |
title_sort |
detection of mature and immature oil palm from image sentinel-2 using google earth engine (gee) / nurul ain nabilah sharuddin |
granting_institution |
Universiti Teknologi MARA. Perlis |
granting_department |
Faculty of Architecture, Planning and Surveying |
publishDate |
2022 |
url |
https://ir.uitm.edu.my/id/eprint/69181/1/69181.pdf |
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1783735852946423808 |