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Tracking An Oil Tanker Collision And Spilled Oils In The East China Sea Using Multisensor Day And Night Satellite Imagery, Shaojie Sun, Yingcheng Lu, Mengqiu Wang, Chuanmin Hu
Tracking An Oil Tanker Collision And Spilled Oils In The East China Sea Using Multisensor Day And Night Satellite Imagery, Shaojie Sun, Yingcheng Lu, Mengqiu Wang, Chuanmin Hu
C-IMAGE Publications
Satellite remote sensing is well known to play a critical role in monitoring marine accidents such as oil spills, yet the recent SANCHI oil tanker collision event in January 2018 in the East China Sea indicates that traditional techniques using synthetic aperture radar or daytime optical imagery could not provide timely and adequate coverage. In this study, we show the unprecedented value of Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire product and Day/Night Band data in tracking the oil tanker's dri fting pathway and locations when all other means are not as effective for the same purpose. Such pathway and …
Dataset For: Tracking An Oil Tanker Collision And Spilled Oils In The East China Sea Using Multisensor Day And Night Satellite Imagery, Shaojie Sun
C-IMAGE data
In this dataset, we used a multi-sensor day and night satellite approach to track the SANCHI oil tanker collision and oil spill event in January 2018 in the East China Sea. The drifted on fire oil tanker was tracked by Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire product and Day/Night Band (DNB) imagery. Such pathway and locations were also reproduced with a numerical model, with RMS error of < 15 km. MultiSpectral Instrument (MSI) optical imagery during daytime shows smokes on 13 January 2018, further confirms the drifted tanker location. MSI imagery after 4 days of the tanker’s sinking (18 January 2018) reveals oil on the ocean surface to the east and northeast of the tanker sinking location. This combination of all available remote sensing and modeling techniques can provide effective means to monitor marine accidents and oil spills to assist event response.
Landsat Based Sargassum Coverage In The Northern Gulf Of Mexico, 2010, Chuanmin Hu, Lian Feng
Landsat Based Sargassum Coverage In The Northern Gulf Of Mexico, 2010, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset contains the sargassum coverage in the northeastern Gulf of Mexico detected using both Landsat remote sensing images and airborne AVIRIS data. The mean Sargassum coverage during the four quarters of 2010 for the study region are also provided. Dataset results are provided in Excel format and correspond to the the publication: Hu, C.; Hardy, R.; Ruder, E.; Geggel, A.; Feng, L.; Powers, S.; Hernandez, F.; Graettinger, G.; Bodnar, J.; McDonald, T. (2016). Sargassum coverage in the northeastern Gulf of Mexico during 2010 from Landsat and airborne observations: Implications for the Deepwater Horizon oil spill impact assessment. Marine Pollution …
Sargassum Detection Using Modis, Aviris, Landsat, And Hico Imagery, Chuanmin Hu, Lian Feng
Sargassum Detection Using Modis, Aviris, Landsat, And Hico Imagery, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset includes Moderate Resolution Imaging Spectroradiometer (MODIS), Airborne Visible-InfraRed Imaging Spectrometer (AVIRIS), Landsat and Hyperspectral Imager for the Coastal Ocean (HICO) images used in the paper: Hu, C., Feng, L., Hardy, R. F., & Hochberg, E. J. (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macroalgae. Remote Sensing of Environment, 167, 229–246. doi:10.1016/j.rse.2015.05.022, together with the delineated sargassum features. The in situ spectral measurements used as endmembers to simulate the results are also included.
Moderate Resolution Imaging Spectroradiometer (Modis) Surface Oil Products For The Gulf Of Mexico, April - July 2010, Chuanmin Hu, Lian Feng
Moderate Resolution Imaging Spectroradiometer (Modis) Surface Oil Products For The Gulf Of Mexico, April - July 2010, Chuanmin Hu, Lian Feng
C-IMAGE data
This dataset contains the MODIS surface oil products (with thickness of >0 but 8um as thick) for all the golden days between April and July of 2010.
Satellite, Glider Data, And Field Measurements To Study Harmful Algae On The West Florida Shelf During 2011 And 2012, Chuanmin Hu
Satellite, Glider Data, And Field Measurements To Study Harmful Algae On The West Florida Shelf During 2011 And 2012, Chuanmin Hu
C-IMAGE data
Satellite Oceanography is a sub-task under Task 4. It relies primarily on satellite-collected data, processed using either NASA standard algorithms or customized algorithms to produce data and imagery products specifically tailored for this project.
Refinement Of The Critical Angle Calculation For The Contrast Reversal Of Oil Slicks Under Sunglint, Yingcheng Lu, Shaojie Sun, Minwei Zhang, Brock Murch, Chuanmin Hu
Refinement Of The Critical Angle Calculation For The Contrast Reversal Of Oil Slicks Under Sunglint, Yingcheng Lu, Shaojie Sun, Minwei Zhang, Brock Murch, Chuanmin Hu
C-IMAGE Publications
It has long been observed that oil slicks under sunglint can reverse their optical contrast against nearby oil‐free seawater. Such a phenomenon has been described through both empirical statistical analysis of the sunglint strength and modeled theoretically using a critical angle concept. The critical angle, in this model, is the angle at which the image pixels show no or negligible contrast between oiled and nonoiled seawater. Pixels away from this critical angle show either positive or negative contrast from the oil‐free pixels. Although this concept has been fully demonstrated in the published literature, its calculation needs to be further refined …
Reef-Scale Thermal Stress Monitoring Of Coral Ecosystems: New 5-Km Global Products From Noaa Coral Reef Watch, Gang Liu, Scott F. Heron, C. Mark Eakin, Frank E. Muller-Karger, María Vega-Rodriguez, Liane S. Guild, Jacqueline L. De La Cour, Erick F. Geiger, William J. Skirving, Timothy F. R. Burgess, Alan E. Strong, Andy Harris, Eileen Maturi, Alexander Ignatov, John Sapper, Jianke Li, Susan Lynds
Reef-Scale Thermal Stress Monitoring Of Coral Ecosystems: New 5-Km Global Products From Noaa Coral Reef Watch, Gang Liu, Scott F. Heron, C. Mark Eakin, Frank E. Muller-Karger, María Vega-Rodriguez, Liane S. Guild, Jacqueline L. De La Cour, Erick F. Geiger, William J. Skirving, Timothy F. R. Burgess, Alan E. Strong, Andy Harris, Eileen Maturi, Alexander Ignatov, John Sapper, Jianke Li, Susan Lynds
Marine Science Faculty Publications
The U.S. National Oceanic and Atmospheric Administration (NOAA) Coral Reef Watch (CRW) program has developed a daily global 5-km product suite based on satellite observations to monitor thermal stress on coral reefs. These products fulfill requests from coral reef managers and researchers for higher resolution products by taking advantage of new satellites, sensors and algorithms. Improvements of the 5-km products over CRW’s heritage global 50-km products are derived from: (1) the higher resolution and greater data density of NOAA’s next-generation operational daily global 5-km geo-polar blended sea surface temperature (SST) analysis; and (2) implementation of a new SST climatology derived …
Assessments Of Surface-Pelagic Drift Communities And Behavior Of Early Juvenile Sea Turtles In The Northern Gulf Of Mexico, Robert F. Hardy
Assessments Of Surface-Pelagic Drift Communities And Behavior Of Early Juvenile Sea Turtles In The Northern Gulf Of Mexico, Robert F. Hardy
USF Tampa Graduate Theses and Dissertations
Knowledge of species distribution and habitat associations are essential for conservation measures. Such information is lacking for many marine species due to their occupancy of broad and ephemeral habitats that are difficult to access for study. Sea turtles, specifically the surface-pelagic juvenile stage of some species, are a group for which significant knowledge gaps remain surrounding their distribution and habitat use. Recent research has confirmed the long-standing hypothesis that the surface-pelagic juvenile stage occurs within surface-pelagic drift communities (SPDC). Within the North Atlantic and surrounding basins, the holopelagic macroalgae Sargassum spp. dominates SPDC and serves as a remotely-detectable indicator of …
On The Recurrent Ulva Prolifera Blooms In The Yellow Sea And East China Sea, Chuanmin Hu, Daqiu Li, Changsheng Chen, Jianzhong Ge, Frank E. Muller-Karger, Junpeng Liu, Feng Yu, Ming-Xia He
On The Recurrent Ulva Prolifera Blooms In The Yellow Sea And East China Sea, Chuanmin Hu, Daqiu Li, Changsheng Chen, Jianzhong Ge, Frank E. Muller-Karger, Junpeng Liu, Feng Yu, Ming-Xia He
Marine Science Faculty Publications
A massive bloom of the green macroalgae Ulva prolifera (previously known as Enteromorpha prolifera) occurred in June 2008 in the Yellow Sea (YS), resulting in perhaps the largest “green tide” event in history. Using a novel index (Floating Algae Index) and multiresolution remote sensing data from MODIS and Landsat, we show that U. prolifera patches appeared nearly every year between April and July 2000–2009 in the YS and/or East China Sea (ECS), which all originated from the nearshore Subei Bank. A finite volume numerical circulation model, driven by realistic forcing and boundary conditions, confirmed this finding. Analysis of meteorological/environmental …
Diffuse Attenuation Coefficient Of Downwelling Irradiance: An Evaluation Of Remote Sensing Methods, Zhongping Lee, Miroslaw Darecki, Kendall L. Carder, Curtiss O. Davis, Dariusz Stramski, W. Joseph Rhea
Diffuse Attenuation Coefficient Of Downwelling Irradiance: An Evaluation Of Remote Sensing Methods, Zhongping Lee, Miroslaw Darecki, Kendall L. Carder, Curtiss O. Davis, Dariusz Stramski, W. Joseph Rhea
Marine Science Faculty Publications
The propagation of downwelling irradiance at wavelength λ from surface to a depth (z) in the ocean is governed by the diffuse attenuation coefficient, (λ). There are two standard methods for the derivation of (λ) in remote sensing, which both are based on empirical relationships involving the blue‐to‐green ratio of ocean color. Recently, a semianalytical method to derive (λ) from reflectance has also been developed. In this study, using (490) and (443) as examples, we compare the (λ) values derived from the three methods using data collected in three different regions that cover oceanic and coastal waters, with …