Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yuyi Hu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15166-15177 (2024)
The major objective of our research is to retrieve wave parameters from synthetic aperture radar (SAR) images during a tropical cyclone (TC) based on a machine learning method. In this study, more than 2000 Sentinel-1 images obtained in interferometr
Externí odkaz:
https://doaj.org/article/80b909cb2055481f9fca15457811000d
Publikováno v:
Energies, Vol 17, Iss 17, p 4379 (2024)
The accurate prediction of carbon dioxide (CO2) emissions in the building industry can provide data support and theoretical insights for sustainable development. This study proposes a hybrid model for predicting CO2 emissions that combines a multi-st
Externí odkaz:
https://doaj.org/article/7325e44d5d554261b8d510fb2c2718bb
Publikováno v:
Geo-spatial Information Science, Pp 1-19 (2023)
ABSTRACTAn accurate Modulation Transfer Function (MTF) is essential for Synthetic Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the performance of a quad-polarized wave retrieval algorithm based on fully polarimetric SA
Externí odkaz:
https://doaj.org/article/f5d62942fcb645b5a572d483ed0e02bb
Wind field reconstruction based on dual-polarized synthetic aperture radar during a tropical cyclone
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTA wind field reconstruction method for dual-polarized (vertical-vertical [VV] and vertical-horizontal [VH]) Sentinel-1 (S-1) synthetic aperture radar (SAR) images collected during tropical cyclones (TCs) that does not require external informa
Externí odkaz:
https://doaj.org/article/cd76ccc0553744f7a062e4eb8d2839a4
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4402 (2023)
The Chinese-French Oceanography SATellite (CFOSAT) jointly developed by the Chinese National Space Agency (CNSA) and the Centre National d’Etudes Spatiales (CNES) of France carries a wave spectrometer (Surface Waves Investigation and Monitoring, SW
Externí odkaz:
https://doaj.org/article/3ef6006213c546dfa5d2251e530f4872
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3948 (2023)
In this work, three types of machine learning algorithms are applied for synthetic aperture radar (SAR) wind retrieval in tropical cyclones (TCs), and the optimal method is confirmed. In total, 30 Sentinel-1 (S-1) images in dual-polarization (vertica
Externí odkaz:
https://doaj.org/article/d9ba823de0814e2d8f80aebfd2447fe1
Publikováno v:
Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-15 (2022)
The goal of this study was to investigate the performance of a spectral-transformation wave retrieval algorithm and confirm the accuracy of wave retrieval from C-band Chinese Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) images. More than 200 GF-3 S
Externí odkaz:
https://doaj.org/article/8f59d9152e334d518500f2ead9211a40
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3825 (2023)
The purpose of our work is to investigate the performance of fusion wind from multiple remote-sensed data in forcing numeric wave models, and the experiment is described herein. In this study, 0.125° gridded wind fields at 12 h intervals were fused
Externí odkaz:
https://doaj.org/article/bb0694b51b594955b7c2b25ce78bcd06
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 2, p 287 (2022)
Against the background of global climate change, the warming water temperature of Antarctic surface water (
Externí odkaz:
https://doaj.org/article/c0a2ab4b7d7f454482b16d6a99d77069
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 3, p 279 (2021)
Marine oil spills occur suddenly and pose a serious threat to ecosystems in coastal waters. Oil spills continuously affect the ocean environment for years. In this study, the oil spill caused by the accident of the Sanchi ship (2018) in the East Chin
Externí odkaz:
https://doaj.org/article/f28bde3d765e44758dd859e704fd1a80