Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Deyong Sun"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 4, p 680 (2024)
Annual outbreaks of floating Ulva prolifera blooms in the Yellow Sea have caused serious local environmental and economic problems. Rapid and effective monitoring of Ulva blooms from satellite observations with wide spatial-temporal coverage can grea
Externí odkaz:
https://doaj.org/article/be2e49f7ae374e9189cf808c73ea7451
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 821 (2024)
Snow depth is a crucial factor in the formation of snow, and its fluctuations play a significant role in the Earth’s climate system. The existing snow depth algorithms currently lack systematic quantitative evaluation, and most of them are not suit
Externí odkaz:
https://doaj.org/article/f8dda1fbf11045aa96a396ad5338fbe3
Autor:
Chuanmin Hu, Lin Qi, Lianbo Hu, Tingwei Cui, Qianguo Xing, Mingxia He, Ning Wang, Yanfang Xiao, Deyong Sun, Yingcheng Lu, Chao Yuan, Mengquan Wu, Changying Wang, Yanlong Chen, Haipeng Xu, Li'e Sun, Maohua Guo, Menghua Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103173- (2023)
Since the first report in 2008, macroalgal blooms of Ulva prolifera (often called green tides) in the Yellow Sea have occurred every year, with their origins, transport pathways, temporal changes, as well as causes and consequences studied extensivel
Externí odkaz:
https://doaj.org/article/dfb12e1b93d8441d997ee6fe8b5a141f
Autor:
Hailong Zhang, Yibo Yuan, Yongjiu Xu, Xiaojing Shen, Deyong Sun, Zhongfeng Qiu, Shengqiang Wang, Yijun He
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102371- (2021)
Accurate and rapid monitoring of green macroalgae blooms (GMB; also known as green tide) provide valuable information in decision making for mitigating its environmental impacts and economic losses. Plenty of spectral-based algorithms mainly rely on
Externí odkaz:
https://doaj.org/article/b36620b4370243a399af41aa0db61ab4
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 98, Iss , Pp 102302- (2021)
A novel remote sensing algorithm was developed based on Landsat 8 Operational Land Imager (OLI) data to separately recognize concurrent Sargassum and Ulva prolifera in the South Yellow Sea. This algorithm has three main steps: 1) classification of ma
Externí odkaz:
https://doaj.org/article/4cbdccff43154b79be8f7c88e0be9fdc
Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters
Publikováno v:
Ecological Indicators, Vol 121, Iss , Pp 107198- (2021)
As a second-order expression of the phytoplankton absorption coefficient (aph(λ)), the specific absorption coefficient of phytoplankton (aph*(λ)) is an essential optical parameter that refines the aph(λ) normalized by phytoplankton pigment concent
Externí odkaz:
https://doaj.org/article/8c00de0d9fbf4c9a84ab68dfc9e0a266
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 163 (2020)
Water transparency represented by the Secchi disk depth (Zsd) plays an important role in understanding water ecology environment variations, especially for optically complex and shallow lake waters. In this study, using in situ measured remote sensin
Externí odkaz:
https://doaj.org/article/0cbeee9d1a7e445a9a361ee2b895a01f
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1187 (2019)
A cross-sectional area (CSA) is a key element in the optical properties of suspended particles. The seasonal evolution of CSA has great potential for use in mapping total suspended particles, and such mapping plays an important role in water quality
Externí odkaz:
https://doaj.org/article/bb2c7437be9547d5a2030a7482f27133
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 775 (2019)
Knowledge about the spatiotemporal distribution of sea surface salinity (SSS) provides valuable and important information for understanding various marine biogeochemical processes and ecosystems, especially for those coastal waters significantly affe
Externí odkaz:
https://doaj.org/article/00c8c8f6333b48b18ba4a40c4c07b477
Publikováno v:
Remote Sensing, Vol 10, Iss 4, p 573 (2018)
In this study, MODerate resolution Imaging Spectroradiometer (MODIS) Collection 6 (C6) level-2 Dark Target (DT) Aerosol Optical Depth (AOD) products at 3 km (DT3K) and 10 km (DT10K) spatial resolutions were validated over the China seas and the easte
Externí odkaz:
https://doaj.org/article/7ad999dbc7cd4fc9a98af6173bf8c2c7