Zobrazeno 1 - 10
of 1 588
pro vyhledávání: '"sensing reflectance"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1174-1195 (2025)
Atmospheric Correction (AC) aims to restore surface reflectance from the top of the atmosphere (TOA) reflectance. In this study, seven highly established state-of-the-art AC (OC-SMART, ACOLITE, Polymer, Sen2Cor, iCOR, C2RCC, and L2gen from SeaDAS) ap
Externí odkaz:
https://doaj.org/article/1e0903fe309440b3ad980b36bf406985
Autor:
Christian Marchese, Simone Colella, Vittorio Ernesto Brando, Maria Laura Zoffoli, Gianluca Volpe
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104270- (2024)
Ocean colour (OC) remote sensing benefits society by providing continuous biological and ecological parameters relevant to sustainable marine resource exploitation. It enhances our understanding of climate change and allows us to monitor oceanographi
Externí odkaz:
https://doaj.org/article/1a63a622e6314daaaf856db286fc0948
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTOptical Water Type (OWT) analysis is crucial for comprehending water composition and quality, key factors in assessing water quality over extensive areas. However, China’s inland waters lack a standardized system for such analysis. To quant
Externí odkaz:
https://doaj.org/article/980cd11a656b4e27b8dcb93687f28e7b
Autor:
Jianwei Wei, Menghua Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103921- (2024)
This study exploits the potential of satellite remote sensing reflectance spectra (Rrs(λ)) for detecting ocean surface algal blooms. Three types of floating surface algae are examined: Sargassum, Ulva, and Trichodesmium. The satellite images are pro
Externí odkaz:
https://doaj.org/article/34121552ad8c498c81753c5d62c1ee23
Autor:
Chavapati Gouse Sandhani, Palanisamy Shanmugam, Sundarabalan V. Balasubramanian, S. A. Sannasiraj
Publikováno v:
IEEE Access, Vol 12, Pp 74681-74697 (2024)
Bubble clouds produced by wind-induced breaking surface waves are highly reflective features that significantly influence the spectral shape and magnitude of remote sensing reflectance in sea surface waters and introduce uncertainties in the water co
Externí odkaz:
https://doaj.org/article/6a0590a0f7a54464a25e3d00f5ad2e3e
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract The East China Sea (ECS) has experienced severe harmful algal blooms (HABs) that have deleterious ecological effects on marine organisms. Recent studies indicated that deploying of a second geostationary ocean color imager (GOCI-II) can sign
Externí odkaz:
https://doaj.org/article/6b3139dcd49247f7993932fa3c522bd7
Publikováno v:
IEEE Access, Vol 12, Pp 5760-5769 (2024)
The machine learning (ML) model provides an alternative method for estimating inherent optical properties (IOPs) in clear and coastal waters. This study introduces an effective approach by employing ensemble machine learning techniques, such as rando
Externí odkaz:
https://doaj.org/article/096c04faa93f48b4a7d9e64d91005368
Publikováno v:
Earth and Space Science, Vol 11, Iss 5, Pp n/a-n/a (2024)
Abstract The multi‐to hyperspectral evolution of satellite ocean color sensors is anticipated to enable satellite‐based identification of phytoplankton biodiversity, a key factor in aquatic ecosystem functioning and upper ocean biogeochemistry. I
Externí odkaz:
https://doaj.org/article/61b725e88dd742109ede23d7e44eedf0
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 66-92 (2023)
Atmospheric correction is one of the major challenges in ocean color remote sensing, thus threatening comprehensive evaluation of water quality within aquatic environments. In this study, five state-of-the-art atmospheric correction (AC) processors (
Externí odkaz:
https://doaj.org/article/4b0b4f798bad43dd85ef40fc0098a0f7
Publikováno v:
Photonics, Vol 11, Iss 9, p 837 (2024)
Surface glint significantly reduces the measurement accuracy of remote sensing reflectance of water, Rrs, making it difficult to effectively use field measurements for studying water optical properties, accurately retrieving water quality parameters,
Externí odkaz:
https://doaj.org/article/44a0fa9057c54ffb94c3b8e503155015