Special Issue on "Advances in Remote Sensing and Geoscience Information Systems of the Coastal Environments" SCIE SCOPUS

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Title
Special Issue on "Advances in Remote Sensing and Geoscience Information Systems of the Coastal Environments"
Author(s)
Ryu, Joo-Hyung; Jung, Hyung-Sup; Lee, Saro; Cui, Tingwei
KIOST Author(s)
Ryu, Joo Hyung(유주형)
Alternative Author(s)
유주형
Publication Year
2019-09
Abstract
Advanced remote sensing (RS) and geoscience information system (GIS) have become more essential to understanding the coastal environmental characteristics of Earth surfaces. In this special issue, a total of 52 papers have been published. These papers studied on a variety seas including the Yellow Sea (YS), East China Sea (ECS), South China Sea, Arctic Ocean, North West Pacific, and the Greenland Sea. Forty of these papers studied on the YS and the ECS. Remotely sensed data from various platforms, including satellite, airborne, unmanned aircraft, Helikite and Unmanned Surface Vehicle (USV) images, were used for analysis, and GIS spatial data, reanalysis data and models were also utilized. Ocean colour images were mainly applied to detect marine environment changes (SST, chlorophyll-a and suspended particle matter) and benthic and floating vegetation. High-resolution images were mainly used in the analysis of topographic changes, sedimentary phases and habitat changes in small study areas. SAR images were mainly used for detection of oil spill and sea ice, and could also be used in studies to estimate the moving speed of the target using dual receive antenna mode of the SAR sensor. Unmanned aerial vehicles were mainly used to analyze geographical features and topographic deformation along the coast. Furthermore, hyperspectral images were used for precise detection of vegetation and oil spill studies.
ISSN
0749-0208
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38845
DOI
10.2112/SI90-Editorial
Bibliographic Citation
JOURNAL OF COASTAL RESEARCH, pp.V - XI, 2019
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Keywords
Remote sensing; GIS; marine spatial planning; coastal environment
Type
Article
Language
English
Document Type
Editorial Material
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