The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin

Cloud seeding is a process to modify the clouds to produce rainfall. It is common in some countries that experience El-Nino phenomena that come with bad hazes and drought in long duration, such as Malaysia. Besides, the cloud seeding process is done by using small aircraft, which is costly and dange...

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Main Author:	Sariputdin, Nor Amanina
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography Geomatics
Online Access:	https://ir.uitm.edu.my/id/eprint/60309/1/60309.pdf
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id	my-uitm-ir.60309
record_format	uketd_dc
spelling	my-uitm-ir.603092022-06-22T22:38:13Z The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin 2022-02 Sariputdin, Nor Amanina Aerial geography Geomatics Cloud seeding is a process to modify the clouds to produce rainfall. It is common in some countries that experience El-Nino phenomena that come with bad hazes and drought in long duration, such as Malaysia. Besides, the cloud seeding process is done by using small aircraft, which is costly and dangerous to pilots. Generally, this study is important to identify the suitable clouds for cloud seeding. Therefore, the purpose of this study is i) to compare the unsupervised classification using different bands of satellite imagery Himawari-8 ii) to identify the suitable band for the detection cloud seeding process. The method used in this study, such as ERDAS software for the processing image Himawari-8 and the area of type cloud has been used to detect the cloud classification. This study expects that comparison between the bands used in theHimawari-8 image will prove which band is suitable for the cloud seeding. Based on the comparison of image unsupervised classification done by using accuracy assessment and also a percentage of the cloud area, it shows that Fusion 2 detects more cloud types compared to Fusion 1, though the latter is more sensitive to rain-band clouds such as cumulonimbus. The cloud type detection process has been described. Finally, it is emphasized that the Himawari-8 high-frequency data usage is available every 10 minutes on full-disk and 2.5 minutes around Japan, as the image film makes it possible to detect detailed movements in the cloud system. 2022-02 Thesis https://ir.uitm.edu.my/id/eprint/60309/ https://ir.uitm.edu.my/id/eprint/60309/1/60309.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geomatics
spellingShingle	Aerial geography Geomatics Sariputdin, Nor Amanina The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
description	Cloud seeding is a process to modify the clouds to produce rainfall. It is common in some countries that experience El-Nino phenomena that come with bad hazes and drought in long duration, such as Malaysia. Besides, the cloud seeding process is done by using small aircraft, which is costly and dangerous to pilots. Generally, this study is important to identify the suitable clouds for cloud seeding. Therefore, the purpose of this study is i) to compare the unsupervised classification using different bands of satellite imagery Himawari-8 ii) to identify the suitable band for the detection cloud seeding process. The method used in this study, such as ERDAS software for the processing image Himawari-8 and the area of type cloud has been used to detect the cloud classification. This study expects that comparison between the bands used in theHimawari-8 image will prove which band is suitable for the cloud seeding. Based on the comparison of image unsupervised classification done by using accuracy assessment and also a percentage of the cloud area, it shows that Fusion 2 detects more cloud types compared to Fusion 1, though the latter is more sensitive to rain-band clouds such as cumulonimbus. The cloud type detection process has been described. Finally, it is emphasized that the Himawari-8 high-frequency data usage is available every 10 minutes on full-disk and 2.5 minutes around Japan, as the image film makes it possible to detect detailed movements in the cloud system.
format	Thesis
qualification_level	Bachelor degree
author	Sariputdin, Nor Amanina
author_facet	Sariputdin, Nor Amanina
author_sort	Sariputdin, Nor Amanina
title	The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
title_short	The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
title_full	The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
title_fullStr	The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
title_full_unstemmed	The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin
title_sort	evaluation of himawari-8 images for cloud classification in malaysia / nor amanina sariputdin
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/60309/1/60309.pdf
_version_	1783735111812907008

The evaluation of Himawari-8 images for cloud classification in Malaysia / Nor Amanina Sariputdin

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