Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Qiaoying Guo"'
Publikováno v:
Water, Vol 16, Iss 21, p 3036 (2024)
The increasing congestion in major global maritime routes poses significant threats to international maritime safety, exacerbated by the proliferation of large, high-speed vessels. To improve the detection of abnormal ship behavior, this research emp
Externí odkaz:
https://doaj.org/article/948c710867fb48f6ba900b8485f96bf9
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 502 (2024)
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network—long short-term memory jo
Externí odkaz:
https://doaj.org/article/121e18ab4d544c2aab9f9d3f923af0f8
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 12, p 2350 (2023)
Accurately predicting wind speed is crucial for the generation efficiency of offshore wind energy. This paper proposes an ultra-short-term wind speed prediction method using a graph neural network with a multi-head attention mechanism. The methodolog
Externí odkaz:
https://doaj.org/article/d28f19ffee8b498baa93e4d4226c28f9
Publikováno v:
Remote Sensing, Vol 11, Iss 22, p 2680 (2019)
Wind resources assessment plays a significant role in site selection for the construction of offshore wind farms. Mean wind speeds (MWS), wind power densities (WPD), and Weibull parameters are the most important variables for wind resources assessmen
Externí odkaz:
https://doaj.org/article/107d7fae833840cd9d415a59e45788c6
Autor:
Qiaoying Guo, Xiazhen Xu, Kangyu Zhang, Zhengquan Li, Weijiao Huang, Lamin R. Mansaray, Weiwei Liu, Xiuzhen Wang, Jian Gao, Jingfeng Huang
Publikováno v:
Remote Sensing, Vol 10, Iss 1, p 100 (2018)
Wind energy, as a vital renewable energy source, also plays a significant role in reducing carbon emissions and mitigating climate change. It is therefore of utmost necessity to evaluate ocean wind energy resources for electricity generation and envi
Externí odkaz:
https://doaj.org/article/baeecdc61f5d4b01ab8dc5d016789cf0
Publikováno v:
Remote Sensing, Vol 9, Iss 7, p 641 (2017)
The urban heat island is generally conducted based on ground observations of air temperature and remotely sensing of land surface temperature (LST). Satellite remotely sensed LST has the advantages of global coverage and consistent periodicity, which
Externí odkaz:
https://doaj.org/article/03039adfea4e4664aa7b9a5ece7bbb34
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:1561-1572
This paper evaluates the capability of Sentinel-1 VH-polarized synthetic aperture radar signals, involving 738 scenes in the interferometric wide swath (IW) mode, for ocean surface wind speed retrieval using a novel subswath-based C-band cross-polari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f521b914c0fd8ac57f61979471578c36
https://doi.org/10.1109/tgrs.2018.2867438
https://doi.org/10.1109/tgrs.2018.2867438
Autor:
Kangyu Zhang, Jingfeng Huang, Xiazhen Xu, Yaoliang Chen, Zhengquan Li, Lamin R. Mansaray, Qiaoying Guo, Xiuzhen Wang
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 15:882-886
High-spatial-resolution wind fields derived from synthetic aperture radar (SAR) instruments are crucial to a wide range of applications. However, the spatial scale effect on wind speed retrieval accuracy has seldom been reported. For the purpose of u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08dea26b1a77737bb4093e5f1ae2422
https://doi.org/10.1109/lgrs.2018.2811397
https://doi.org/10.1109/lgrs.2018.2811397
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:5015-5025
This paper presents a comparison strategy for investigating the influence of spatial resolutions on sea surface wind speed retrieval accuracy with cross-polarized synthetic aperture radar images. First, for wind speeds retrieved from vertical transmi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d68d399c37655c68fcbe62b564eb5f89
https://doi.org/10.1109/tgrs.2017.2700942
https://doi.org/10.1109/tgrs.2017.2700942
Publikováno v:
Remote Sensing
Volume 11
Issue 22
Pages: 2680
Remote Sensing, Vol 11, Iss 22, p 2680 (2019)
Volume 11
Issue 22
Pages: 2680
Remote Sensing, Vol 11, Iss 22, p 2680 (2019)
Wind resources assessment plays a significant role in site selection for the construction of offshore wind farms. Mean wind speeds (MWS), wind power densities (WPD), and Weibull parameters are the most important variables for wind resources assessmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6344b95a6ccf1afebf9be4f4fc455098