Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Remote Estimation Of Biomass Of Ulva Prolifera Macroalgae In The Yellow Sea, Lianbo Hu, Chuanmin Hu, He Ming-Xia
Remote Estimation Of Biomass Of Ulva Prolifera Macroalgae In The Yellow Sea, Lianbo Hu, Chuanmin Hu, He Ming-Xia
Marine Science Faculty Publications
Since 2008, macroalgal blooms of Ulva prolifera (also called green tides) occurred every summer in the Yellow Sea (YS), causing environmental and economic problems. A number of studies have used satellite observations to estimate the severity of the blooms through estimating the bloom size and duration. However, a critical bloom parameter, namely biomass, has never been objectively determined due to lack of measurements. In this study, laboratory experiments were conducted to measure U. prolifera biomass (wet weight) per unit area and the corresponding spectral reflectance, through which a robust relationship has been established to link biomass per area to …
Satellite Observation Of Particulate Organic Carbon Dynamics On The Louisiana Continental Shelf, Chengfeng Le, John C. Lehrter, Chuanmin Hu, Hugh Macintyre, Marcus W. Beck
Satellite Observation Of Particulate Organic Carbon Dynamics On The Louisiana Continental Shelf, Chengfeng Le, John C. Lehrter, Chuanmin Hu, Hugh Macintyre, Marcus W. Beck
Marine Science Faculty Publications
Particulate organic carbon (POC) plays an important role in coastal carbon cycling and the formation of hypoxia. Yet, coastal POC dynamics are often poorly understood due to a lack of long-term POC observations and the complexity of coastal hydrodynamic and biogeochemical processes that influence POC sources and sinks. Using field observations and satellite ocean color products, we developed a new multiple regression algorithm to estimate POC on the Louisiana Continental Shelf (LCS) from satellite observations. The algorithm had reliable performance with mean relative error (MRE) of ∼40% and root mean square error (RMSE) of ∼50% for MODIS and SeaWiFS images …
Predicting Sargassum Blooms In The Caribbean Sea From Modis Observations, Mengqiu Wang, Chuanmin Hu
Predicting Sargassum Blooms In The Caribbean Sea From Modis Observations, Mengqiu Wang, Chuanmin Hu
Marine Science Faculty Publications
Recurrent and significant Sargassum beaching events in the Caribbean Sea (CS) have caused serious environmental and economic problems, calling for a long-term prediction capacity of Sargassum blooms. Here we present predictions based on a hindcast of 2000–2016 observations from Moderate Resolution Imaging Spectroradiometer (MODIS), which showed Sargassum abundance in the CS and the Central West Atlantic (CWA), as well as connectivity between the two regions with time lags. This information was used to derive bloom and nonbloom probability matrices for each 1° square in the CS for the months of May–August, predicted from bloom conditions in a hotspot region in …