Development of MODIS data-based algorithm for retrieving sea surface temperature in coastal waters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/article/10.1007/s10661-017-6010-7/fulltext.html
Reference33 articles.
1. Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., & Gumley, L. E. (1998). Discriminating clear sky from clouds with MODIS. Journal of Geophysical Research—Atmosphere, 103(D24), 32141–32157. doi: 10.1029/1998JD200032 .
2. Azmi, S., Agarwadkar, Y., Bhattacharya, M., Apte, M., & Inamdar, A. B. (2015). Monitoring and trend mapping of sea surface temperature (SST) from MODIS data: a case study of Mumbai coast. Environmental Monitoring and Assessment, 187(4), 165–165. doi: 10.1007/s10661-015-4386-9 .
3. Barnes, B. B., & Hu, C. (2013). A hybrid cloud detection algorithm to improved MODIS sea surface temperature data quality and coverage over the Eastern Gulf of Mexico. IEEE Transactions on Geoscience and Remote Sensing, 51(6), 3273–3285. doi: 10.1109/TGRS.2012.2223217 .
4. Barnes, B. B., Hu, C., & Muller-Karger, F. (2011). An improved high-resolution SST climatology to assess cold water events off Florida. IEEE Geoscience and Remote Sensing Letters, 8(4), 769–773. doi: 10.1109/LGRS.2011.2111353 .
5. Brown, O. B., & Minnett, P. J. (1999). MODIS infrared sea surface temperature algorithm. Florida: University of Miami.
Cited by 11 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. An Operational Global Near-Real-Time High-Resolution Seamless Sea Surface Temperature Products From Satellite-Based Thermal Infrared Measurements;IEEE Transactions on Geoscience and Remote Sensing;2024
2. CCGAN as a Tool for Satellite-Derived Chlorophyll a Concentration Gap Reconstruction;Journal of Marine Science and Engineering;2023-09-18
3. Systematic Literature Review of Various Neural Network Techniques for Sea Surface Temperature Prediction Using Remote Sensing Data;Archives of Computational Methods in Engineering;2023-08-22
4. Air Temperature Monitoring over Low Latitude Rice Planting Areas: Combining Remote Sensing, Model Assimilation, and Machine Learning Techniques;Remote Sensing;2023-07-31
5. Reconstruction Methods in Oceanographic Satellite Data Observation—A Survey;Journal of Marine Science and Engineering;2023-02-03
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