Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy

Cloud seeding is conducted to preserve more water resources with the presence of aerosols in the atmosphere. Aerosol optical depth (A0D) is a key component in cloud formation and plays a vital role in the hydrological cycle and the atmosphere's radiation budget. Thus, the detection of AOD and s...

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Main Author:	Affandy, Muhamad Aiman Hakim
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography Sources of water supply
Online Access:	https://ir.uitm.edu.my/id/eprint/57045/1/57405.pdf
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id	my-uitm-ir.57045
record_format	uketd_dc
spelling	my-uitm-ir.570452022-03-21T08:37:36Z Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy 2022-03-14 Affandy, Muhamad Aiman Hakim Aerial geography Sources of water supply Cloud seeding is conducted to preserve more water resources with the presence of aerosols in the atmosphere. Aerosol optical depth (A0D) is a key component in cloud formation and plays a vital role in the hydrological cycle and the atmosphere's radiation budget. Thus, the detection of AOD and suitable cloud is important to determine the most efficient for cloud seeding operation. This study aims to determine the potential area for cloud seeding based on the detection of aerosol optical depth concentration (AOD) and low-level clouds distribution using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images in the inter monsoon seasons year 2019 and 2020. The objectives of this study are to i) to identify the concentration of AOD over the study area ii) to retrieve the distribution of low-level clouds using the single reflective band method iii) to identify the potential cloud seeding area based on aerosol optical depth concentrations and distribution of low-level clouds. Based on the extractions from MODIS AOD with phyton scripts and the low-level cloud from MODIS single reflective band, the potential areas for clouds seeding were identified. The results show that the AOD focused on the urban areas while the distribution of low-level cloud uniformly at the area in Malaysia. Most of the cloud seeding potential areas were found within the same area of cloud seeding operations as carried out by the Malaysian Meteorological Department (MET) in the year 2019, which were near agriculture and dam areas. The potential areas in the year 2020 were also found with inthe same locations as 2019 such as Kwong Dam and Pasir Puteh in Kelantan. Thus, the AOD concentrations with the low-level cloud distributions can be utilized to identify the areas for cloud seeding operations. This study will be beneficial for METto determine the most potential locations for successful cloud seeding operations. 2022-03 Thesis https://ir.uitm.edu.my/id/eprint/57045/ https://ir.uitm.edu.my/id/eprint/57045/1/57405.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 Sources of water supply
spellingShingle	Aerial geography Sources of water supply Affandy, Muhamad Aiman Hakim Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
description	Cloud seeding is conducted to preserve more water resources with the presence of aerosols in the atmosphere. Aerosol optical depth (A0D) is a key component in cloud formation and plays a vital role in the hydrological cycle and the atmosphere's radiation budget. Thus, the detection of AOD and suitable cloud is important to determine the most efficient for cloud seeding operation. This study aims to determine the potential area for cloud seeding based on the detection of aerosol optical depth concentration (AOD) and low-level clouds distribution using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images in the inter monsoon seasons year 2019 and 2020. The objectives of this study are to i) to identify the concentration of AOD over the study area ii) to retrieve the distribution of low-level clouds using the single reflective band method iii) to identify the potential cloud seeding area based on aerosol optical depth concentrations and distribution of low-level clouds. Based on the extractions from MODIS AOD with phyton scripts and the low-level cloud from MODIS single reflective band, the potential areas for clouds seeding were identified. The results show that the AOD focused on the urban areas while the distribution of low-level cloud uniformly at the area in Malaysia. Most of the cloud seeding potential areas were found within the same area of cloud seeding operations as carried out by the Malaysian Meteorological Department (MET) in the year 2019, which were near agriculture and dam areas. The potential areas in the year 2020 were also found with inthe same locations as 2019 such as Kwong Dam and Pasir Puteh in Kelantan. Thus, the AOD concentrations with the low-level cloud distributions can be utilized to identify the areas for cloud seeding operations. This study will be beneficial for METto determine the most potential locations for successful cloud seeding operations.
format	Thesis
qualification_level	Bachelor degree
author	Affandy, Muhamad Aiman Hakim
author_facet	Affandy, Muhamad Aiman Hakim
author_sort	Affandy, Muhamad Aiman Hakim
title	Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
title_short	Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
title_full	Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
title_fullStr	Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
title_full_unstemmed	Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy
title_sort	detection of aerosol optical depth and low-level cloud in modis satellite imagery for potential cloud seeding area / muhamad aiman hakim affandy
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/57045/1/57405.pdf
_version_	1783734964496367616

Detection of aerosol optical depth and low-level cloud in MODIS Satellite imagery for potential cloud seeding area / Muhamad Aiman Hakim Affandy

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