Remote sensing of sea surface salinity: challenges and research directions
Author:
Affiliation:
1. Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
2. Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, Busan, South Korea
Funder
Korea Institute of Marine Science and Technology promotion
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2166377
Reference143 articles.
1. Fast fitting of non-Gaussian state-space models to animal movement data via Template Model Builder
2. The French contribution to the voluntary observing ships network of sea surface salinity
3. Spatiotemporal modelling of marine movement data using Template Model Builder (TMB)
4. Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea
5. Salinity Profile Estimation in the Pacific Ocean from Satellite Surface Salinity Observations
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations;International Journal of Applied Earth Observation and Geoinformation;2024-08
2. Gap-filling techniques applied to the GOCI-derived daily sea surface salinity product for the Changjiang diluted water front in the East China Sea;Earth System Science Data;2024-07-10
3. Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML;Remote Sensing;2024-06-27
4. Climate Change Impacts on Maritime Resources in Lebanon Using Satellites Imagery, Chekka Case Study;Journal of Water Resources and Ocean Science;2024-06-27
5. Continuity and Enhancements in Sea Surface Salinity Estimation in the East China Sea Using GOCI and GOCI-II: Challenges and Further Developments;Remote Sensing;2024-06-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3