Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud
Cloud seeding is carried out to increase the amount of precipitation, which is useful during drought, especially in agricultural areas. However, the success rate of cloud seeding operations in Malaysia was not fully achieved due to location and temporal factors. The cumulus clouds at low elevation l...
Published in: | 2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings |
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2-s2.0-85193988638 Anuar S.N.S.; Narashid R.H.; Razak T.R.; Hashim S.; Rahim A.; Bohari S.N. Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud 2024 2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings 10.1109/CSPA60979.2024.10525531 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193988638&doi=10.1109%2fCSPA60979.2024.10525531&partnerID=40&md5=cd2414023df4127576a84f7408890c42 Cloud seeding is carried out to increase the amount of precipitation, which is useful during drought, especially in agricultural areas. However, the success rate of cloud seeding operations in Malaysia was not fully achieved due to location and temporal factors. The cumulus clouds at low elevation levels are practical in cloud seeding operations. Nowadays, low-level clouds' location can be detected using satellite remote sensing. Therefore, this study aims to determine the potential areas for cloud seeding operations with remotely sensed low-level cloud distribution. The potential areas were retrieved from the low-level cloud distribution of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) with cloud masking method and single reflective band and mapped with Geographic Information System (GIS) overlay analysis. It was found that the locations were coincidently used in previous cloud seeding operations conducted by the Malaysian Meteorological Department (MET) in 2019 which were above the 0.14 threshold. Thus, the potential areas based on low-level clouds for cloud seeding operations can be detected and mapped using Remote Sensing satellite images. The approach can potentially be utilised by related agencies to identify the appropriate areas for cloud seeding operations practically. © 2024 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Anuar S.N.S.; Narashid R.H.; Razak T.R.; Hashim S.; Rahim A.; Bohari S.N. |
spellingShingle |
Anuar S.N.S.; Narashid R.H.; Razak T.R.; Hashim S.; Rahim A.; Bohari S.N. Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
author_facet |
Anuar S.N.S.; Narashid R.H.; Razak T.R.; Hashim S.; Rahim A.; Bohari S.N. |
author_sort |
Anuar S.N.S.; Narashid R.H.; Razak T.R.; Hashim S.; Rahim A.; Bohari S.N. |
title |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
title_short |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
title_full |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
title_fullStr |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
title_full_unstemmed |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
title_sort |
Cloud Seeding Potential Areas From Remote Sensing of Low-Level Cloud |
publishDate |
2024 |
container_title |
2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings |
container_volume |
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container_issue |
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doi_str_mv |
10.1109/CSPA60979.2024.10525531 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193988638&doi=10.1109%2fCSPA60979.2024.10525531&partnerID=40&md5=cd2414023df4127576a84f7408890c42 |
description |
Cloud seeding is carried out to increase the amount of precipitation, which is useful during drought, especially in agricultural areas. However, the success rate of cloud seeding operations in Malaysia was not fully achieved due to location and temporal factors. The cumulus clouds at low elevation levels are practical in cloud seeding operations. Nowadays, low-level clouds' location can be detected using satellite remote sensing. Therefore, this study aims to determine the potential areas for cloud seeding operations with remotely sensed low-level cloud distribution. The potential areas were retrieved from the low-level cloud distribution of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) with cloud masking method and single reflective band and mapped with Geographic Information System (GIS) overlay analysis. It was found that the locations were coincidently used in previous cloud seeding operations conducted by the Malaysian Meteorological Department (MET) in 2019 which were above the 0.14 threshold. Thus, the potential areas based on low-level clouds for cloud seeding operations can be detected and mapped using Remote Sensing satellite images. The approach can potentially be utilised by related agencies to identify the appropriate areas for cloud seeding operations practically. © 2024 IEEE. |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
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language |
English |
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Conference paper |
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scopus |
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Scopus |
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1809677884289187840 |