KOMPSAT-3/3A 광학 위성영상으로부터 산업단지 및 채석장 분류를 위한 GeoAI 데이터셋

Air pollution is a serious problem in the world, and it is necessary to monitor air pollution emission sources in other neighboring countries to respond to the problem of air pollution spreading across borders. In this study, we utilized domestic and international optical images from KOMPSAT-3/3A sa...

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Bibliographic Details
Published in:Geo Data 2023, 5(4), , pp.238-243
Main Authors: 박채원, 정형섭, 이원진, 이광재, 오관영, 장재영, 이명진, 한근혁(네이버시스템, 최일훈(네이버시스템
Format: Article
Language:Korean
Subjects:
지구과학
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Summary:Air pollution is a serious problem in the world, and it is necessary to monitor air pollution emission sources in other neighboring countries to respond to the problem of air pollution spreading across borders. In this study, we utilized domestic and international optical images from KOMPSAT-3/3A satellites to build an AI training dataset for classifying industrial parks and quarries, which are representative sources of air pollution emissions. The data can be used to identify the distribution of air pollution emission sources located at home and abroad along with various state-of-the-art models in the image segmentation field, and is expected to contribute to the preservation of Korea’s air environment as a basis for establishing air-related policies. KCI Citation Count: 1
ISSN:2713-5004
DOI:10.22761/GD.2023.0052