Early Warning Method for Sea Typhoons using Remote-Sensing Imagery Based on Improved Support Vector Machines (SVMs)

Shi, Hongyin; Yu, Ying; Wang, Yan

doi:10.2112/si82-026.1

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…Precise mapping of flooding in plain basin boundaries was studied [20]. In relation to typhoons, studies have been carried out to establish early warning systems for sea hurricanes [21] and information on sea-level environments [22].…”

Section: Case Studies Of the Application Of Satellite Images Tomentioning

confidence: 99%

Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

et al. 2020

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The social and economic harm to North Korea caused by water-related disasters is increasing with the increase in the disasters worldwide. Despite the improvement of inter-Korean relations in recent years, the issue of water-related disasters, which can directly affect the lives of people, has not been discussed. With consideration of inter-Korean relations, a government-wide technical plan should be established to reduce the damage caused by water-related disasters. Therefore, the purpose of this study was to identify remote sensing and GIS techniques that could be useful in reducing the damage caused by water-related disasters while considering inter-Korean relations and the disasters that occur in North Korea. To this end, based on the definitions of disasters in South and North Korea, water-related disasters that occurred during a 17-year period from 2001 to 2017 in North Korea were first summarized and reclassified into six types: typhoons, downpours, floods, landslides, heavy snowfalls, and droughts. In addition, remote sensing- and GIS-based techniques in South Korea that could be applied to water-related disasters in North Korea were investigated and reclassified according to applicability to the six disaster types. The results showed that remote sensing and other monitoring techniques using spatial information, GIS-based database construction, and integrated water-related disaster management have high priorities. Especially, the use of radar images, such as C band images, has proven essential. Moreover, case studies were analyzed within remote sensing- and GIS-based techniques that could be applicable to the water-related disasters that occur frequently in North Korea. Water disaster satellites with high-resolution C band synthetic aperture radar are scheduled to be launched by South Korea. These results provide basic data to support techniques and establish countermeasures to reduce the damage from water-related disasters in North Korea in the medium to long term.

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Section: Case Studies Of the Application Of Satellite Images Tomentioning

confidence: 99%

Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

et al. 2020

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Developing the Earthquake Early Warning and Evacuation Systems (EEWES) for Schools in Ranau District

Nasirin

Miskon

2022

IOP Conf. Ser.: Earth Environ. Sci.

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This article presents the main development components Early Earthquake Warning and Evacuation System (EEWES) for the Ranau District of Sabah. Many early earthquake warning systems have been developed since the last major earthquake in Ranau in 2015, but none has appropriately investigated the school children evacuation processes/exercises. The system was developed not just to expedite the evacuation process at these schools but also to help evacuate the school children and to get in touch with the children’s parents who are outstation. Those parents will be updated on the evacuation initiative that is taking place on a real-time basis. The system may also transfer the evacuation details to the local and federal emergency services and other agencies concerned with the evacuation exercises. The system mainly utilised the APIs released by regional disaster centres, which may deliver speedy transmission alerts. The future research direction is to incorporate the local tremor sensor details into the system.

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Classification of Alphabetic Handwriting of Pre-toddlers Using Support Vector Machine Method

Riyadi,

Gunawan,

Ihsan

2023

2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)

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Early Warning Method for Sea Typhoons using Remote-Sensing Imagery Based on Improved Support Vector Machines (SVMs)

Cited by 5 publications

References 20 publications

Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

Developing the Earthquake Early Warning and Evacuation Systems (EEWES) for Schools in Ranau District

Classification of Alphabetic Handwriting of Pre-toddlers Using Support Vector Machine Method

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