Dr. Chuanmin Hu Profile

Dr. Chuanmin Hu

Professor at Univ of South Florida

SPIE Involvement:

Author

SPIE Journal Paper | 27 April 2018 Open Access

Remote sensing estimation of surface oil volume during the 2010 Deepwater Horizon oil blowout in the Gulf of Mexico: scaling up AVIRIS observations with MODIS measurements

Chuanmin Hu, Lian Feng, Jamie Holmes, Gregg A. Swayze, Ira Leifer, Christopher Melton, Oscar Garcia, Ian MacDonald, Mark Hess, Frank Muller-Karger, George Graettinger, Rebecca Green

JARS, Vol. 12, Issue 02, 026008, (April 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.026008

KEYWORDS: MODIS, Remote sensing, Clouds, Sun, Reflectivity, RGB color model, Sensors, Satellites, Photography, Synthetic aperture radar

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The Deepwater Horizon (DWH) oil blowout in the Gulf of Mexico (GoM) led to the largest offshore oil spill in U.S. history. The accident resulted in oil slicks that covered between 10,000 and upward of 40,000 km2 of the Gulf between April and July 2010. Quantifying the actual spatial extent of oil over such synoptic scales on an operational basis and, in particular, estimating the oil volume (or slick thickness) of large oil slicks on the ocean surface has proven to be a challenge to researchers and responders alike. This challenge must be addressed to assess and understand impacts on marine and coastal resources and to prepare a response to future spills. We estimated surface oil volume and probability of occurrence of different oil thicknesses during the DWH blowout in the GoM by combining synoptic measurements (2330-km swath) from the satellite-borne NASA Moderate Resolution Imaging Spectroradiometer (MODIS) and near-concurrent, much narrower swath (∼5 km) hyperspectral observations from the NASA Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). A histogram-matching approach was used to transfer AVIRIS-derived oil volume to MODIS pixel-scale dimensions, after masking clouds under both sun glint and nonglint conditions. Probability functions were used to apply the transformation to 19 MODIS images collected during the DWH event. This generated three types of MODIS oil maps: maps of surface oil volume, maps of relative oil thickness with four different classes (i.e., 0 μm, <0.08 μm, 0.08 to 8 μm, and >8 μm), and maps of probability distributions of different thicknesses. The results were compared with satellite-based synthetic aperture radar measurements and evaluated with concurrent aerial photographs. Although the methods may not be ideal and the results may contain large uncertainties, the current attempt suggests that coarse-resolution optical remote sensing observations can provide estimates of relative oil thickness/volume for large oil slicks captured by satellites.

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SPIE Journal Paper | 21 December 2016

Characterization of Karenia brevis blooms on the West Florida Shelf using ocean color satellite imagery: implications for bloom maintenance and evolution

Inia Soto, Frank Muller-Karger, Chuanmin Hu, Jennifer Wolny

JARS, Vol. 11, Issue 01, 012002, (December 2016) https://doi.org/10.1117/12.10.1117/1.JRS.11.012002

KEYWORDS: Satellites, Earth observing sensors, Satellite imaging, Remote sensing, MODIS, In situ remote sensing, Algorithm development, Detection and tracking algorithms, Meteorology, Ocean optics

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SPIE Journal Paper | 20 December 2016 Open Access

Modified MODIS fluorescence line height data product to improve image interpretation for red tide monitoring in the eastern Gulf of Mexico

Chuanmin Hu, Lian Feng

JARS, Vol. 11, Issue 01, 012003, (December 2016) https://doi.org/10.1117/12.10.1117/1.JRS.11.012003

KEYWORDS: MODIS, Luminescence, Satellites, Sensors, Water, Inspection, Remote sensing, Data centers, Visualization, Clouds

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SPIE Journal Paper | 2 December 2013 Open Access

Satellite-based virtual buoy system to monitor coastal water quality

Chuanmin Hu, Brian Barnes, Brock Murch, Paul Carlson

OE, Vol. 53, Issue 05, 051402, (December 2013) https://doi.org/10.1117/12.10.1117/1.OE.53.5.051402

KEYWORDS: Satellites, Algorithm development, Water, MODIS, Optical engineering, Satellite imaging, Ocean optics, Interfaces, Antennas, Standards development

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Proceedings Article | 3 June 2013 Paper

Analyzing radiometric requirements for diurnal observations of coastal/oceanic waters from geostationary orbits

Nima Pahlevan, Zhongping Lee, Chuanmin Hu, John Schott

Proceedings Volume 8724, 87240K (2013) https://doi.org/10.1117/12.2016279

KEYWORDS: Signal detection, Signal to noise ratio, Sensors, Interference (communication), Atmospheric sensing, Atmospheric propagation, Atmospheric modeling, Remote sensing, Reflectivity, Water

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SPIE Journal Paper | 6 February 2013 Open Access

^{Changes in vegetative coverage of the Hongze Lake national wetland nature reserve: a decade-long assessment using MODIS medium-resolution data}

Kun Yu, Chuanmin Hu

JARS, Vol. 7, Issue 01, 073589, (February 2013) https://doi.org/10.1117/12.10.1117/1.JRS.7.073589

KEYWORDS: MODIS, Vegetation, Aerosols, Meteorology, Agriculture, Near infrared, Landsat, Climatology, Data centers, Earth observing sensors

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Proceedings Article | 5 May 2011 Paper

Observing MODIS ocean color patterns under severe sun glint

Chuanmin Hu

Proceedings Volume 8030, 80300M (2011) https://doi.org/10.1117/12.888010

KEYWORDS: Sun, MODIS, Clouds, Reflectivity, Contamination, Satellites, Image processing, Data modeling, Aerosols, Algorithm development

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Proceedings Article | 5 May 2011 Paper

Combining numerical ocean circulation models with satellite observations in a trajectory forecast system: a rapid response to the Deepwater Horizon oil spill

Yonggang Liu, Robert Weisberg, Chuanmin Hu, Lianyuan Zheng

Proceedings Volume 8030, 80300K (2011) https://doi.org/10.1117/12.887983

KEYWORDS: Satellites, Coastal modeling, Earth observing sensors, Particles, Satellite imaging, 3D modeling, Data modeling, MODIS, Oceanography, Ocean optics

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Proceedings Article | 20 April 2010 Paper

Quantification of uncertainties in remotely derived optical properties of coastal and oceanic waters

ZhongPing Lee, Robert Arnone, Chuanmin Hu, P. Jeremy Werdell, Bertrand Lubac

Proceedings Volume 7678, 767802 (2010) https://doi.org/10.1117/12.849455

KEYWORDS: Optical properties, Remote sensing, Water, Absorption, Satellites, Computer simulations, Algorithm development, Sensors, Backscatter, Ocean optics

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Proceedings Article | 10 September 2005 Paper

The ANTARES observation network

Ana Dogliotti, Osvaldo Ulloa, Frank Muller-Karger, Chuanmin Hu, Brock Murch, Charles Taylor, Gabriel Yuras, Milton Kampel, Vivian Lutz, Salvador Gaeta, Domingo Gagliardini, Carlos Garcia, Eduardo Klein, Walter Helbling, Ramon Varela, Elena Barbieri, Ruben Negri, Robert Frouin, Shubha Sathyendranath, Trevor Platt

Proceedings Volume 5885, 58850N (2005) https://doi.org/10.1117/12.617971

KEYWORDS: Satellites, Remote sensing, MODIS, Ecosystems, In situ remote sensing, Satellite imaging, Oceanography, Interfaces, Ocean optics, Lanthanum

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Proceedings Article | 16 June 2003 Paper

Simple instrument for measurement of remote sensing reflectance in coastal environment

Chuanmin Hu

Proceedings Volume 4897, (2003) https://doi.org/10.1117/12.467402

KEYWORDS: Calibration, Reflectivity, Sensors, Ocean optics, Spectroscopy, Remote sensing, Satellites, Environmental sensing, Water, Manufacturing

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Proceedings Article | 8 May 2003 Paper

Application of an optimization algorithm to satellite ocean color imagery: A case study in Southwest Florida coastal waters

Chuanmin Hu, Zhongping Lee, Frank Muller-Karger, Kendall Carder

Proceedings Volume 4892, (2003) https://doi.org/10.1117/12.466826

KEYWORDS: Absorption, RGB color model, Backscatter, Optimization (mathematics), Satellites, Atmospheric corrections, Water, Ocean optics, Data modeling, Satellite imaging

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