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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 890 | - |
dc.citation.number | 5-3 | - |
dc.citation.startPage | 885 | - |
dc.citation.title | Korean Journal of Remote Sensing | - |
dc.citation.volume | 39 | - |
dc.contributor.author | Park, Seonyoung | - |
dc.contributor.author | Song, Ahram | - |
dc.contributor.author | Lee, Yangwon | - |
dc.contributor.author | Im, Jungho | - |
dc.date.accessioned | 2024-02-20T17:05:12Z | - |
dc.date.available | 2024-02-20T17:05:12Z | - |
dc.date.created | 2024-02-15 | - |
dc.date.issued | 2023-10 | - |
dc.description.abstract | As satellite technology progresses, a growing number of satellites—like CubeSat and radar satellites—are available with a higher spectral and spatial resolutions than previous. National initiatives used to be the main force behind satellite development, but current trends indicate that private enterprises are also actively exploring and developing new satellite technologies. This special issue examines the recent research results and advanced technology in remote sensing approaches for Earth environment analysis. These results provide important information for the development of satellite sensors in the future and are of great interest to researchers working with artificial intelligence in this field. The special issue introduces the latest advances in remote sensing technology and highlights studies that make use of data to monitor and forecast Earth’s environment. The objective is to provide direction for the future of remote sensing research. Copyright © 2023 by The Korean Society of Remote Sensing. | - |
dc.identifier.bibliographicCitation | Korean Journal of Remote Sensing, v.39, no.5-3, pp.885 - 890 | - |
dc.identifier.doi | 10.7780/kjrs.2023.39.5.3.1 | - |
dc.identifier.issn | 1225-6161 | - |
dc.identifier.scopusid | 2-s2.0-85177567021 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/81437 | - |
dc.language | 한국어 | - |
dc.publisher | 대한원격탐사학회 | - |
dc.title.alternative | 최신 원격탐사 기법을 이용한 지구환경 모니터링 및 예측 | - |
dc.title | Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.type.docType | Review | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Artificial intelligence | - |
dc.subject.keywordAuthor | Deep learning | - |
dc.subject.keywordAuthor | Remote sensing | - |
dc.subject.keywordAuthor | Satellite | - |
dc.subject.keywordAuthor | Satellite application | - |
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