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제목 Flash Floods in South Korea
국/내외 국내 작성일 2023-08-17

Flash Floods in South Korea 첨부 이미지

South Korea has been hit by heavy rainfall since 9 July which has intensified over the past week and is expected to continue until 23 July in some regions. The torrential rainfall has triggered flash floods and landslides across the country.
At least 46 people have been killed so far with a number injured or still missing. More than 1500 people have been forced to leave their homes to avoid floodwaters and the high risk of landslides while thousands are currently without electricity. The military has been called in to assist with the rescue operation working alongside government officials to facilitate the necessary equipment and extra manpower.
South Korea's mountainous topography makes it particularly susceptible to landslides. However, the number of casualties reported so far this monsoon season is higher than usual due to most rainfall being concentrated in more vulnerable, rural areas that are harder to monitor and reach.
In the North Chungcheong province, the Goesan Dam came extremely close to overflowing as more than 2700 tonnes of water flowed into it - the maximum amount it can discharge. Consequently, thousands of people in the surrounding area have been evacuated. All slow and bullet trains have been cancelled, due to landslide debris on tracks, while some other services have been delayed as a safety precaution.
At one stage, more than 5.5 inches (14 cm) of rain fell per hour. This is the highest hourly downpour measured in the capital since 1942. The president of South Korea, Yoon Suk Yeol, has spoken out to warn that the climate crisis has made extreme weather a fact of life while also calling for "extraordinary determination" to improve the country's preparedness and response measures.
 
This activation covers value added products using SAR data acquisitions over the flooding. Products acquired through optical imagery over landslides are available in our related activation.

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출처 International Charter
이전/이후 글
이전글 Incremental Learning with Neural Network Algorithm for the Monitoring Pre-Convective Environments Using Geostationary Imager
다음글 심층신경망과 천리안위성 2A호를 활용한 지상기온 추정에 관한 연구

네팔:지진(2015-05-05)

영상 정보
카테고리 재난재해
위성정보 KOMPSAT-3
생성일 2015-03-24

세부정보

영상 세부 정보
ProductID K3_20150505073608_15817_06161210
국가(영문) Nepal
국가 네팔
지역 Pokhara
레벨 1R