File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

임정호

Im, Jungho
Intelligent Remote sensing and geospatial Information Science Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

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 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.