Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis

Morgan, W P

Title: Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis

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Abstract

Satellite detection of complex aerosols, in particular, Oil smoke over water and dust over land, is generally difficult. On 1 March 1991, a smoke plume generated by burning Kuwaiti oil wells and a dust storm over the southwestern Arabian Peninsula, provide the opportunity to study both of these effects. Utilizing NOAA-11 AVHRR data, a two dimensional scatter plot analysis technique was employed to determine and classify the radiative signatures of the smoke and dust. A two dimensional mask routine was then used to assess the reliability of the scatter plot analyses and spatially display the results. A channel 1 to channel 2 radiance ratio and a channel 4 brightness temperature combination provided the best separation of the smoke signature from water. The dust plume was unambiguously represented by a channel 5 brightness temperature minus channel 4 brightness temperature image and a channel 4 brightness temperature combination. Together the 2D scatter plot technique and 2D mask form the groundwork for a possible detection algorithm. Aersol Detection, Scatter Plot, Mask.

Authors:: Morgan, W P

Publication Date:: Sun Mar 01 00:00:00 EST 1992

Research Org.:: Naval Postgraduate School, Monterey, CA (United States)

OSTI Identifier:: 7065868

Report Number(s):: AD-A-256085/2/XAB

Resource Type:: Technical Report

Resource Relation:: Other Information: Master's thesis. Original contains color plates: All DTIC and NTIS reproductions will be in black and white

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; AIR POLLUTION; DETECTION; ALGORITHMS; DUSTS; STORMS; KUWAIT; AIR POLLUTION MONITORING; PERSIAN GULF; PETROLEUM; COMBUSTION; AEROSOLS; BRIGHTNESS; COMPILED DATA; IMAGES; OIL WELLS; PLUMES; RELIABILITY; SATELLITES; ARABIAN SEA; ASIA; CHEMICAL REACTIONS; COLLOIDS; DATA; DEVELOPING COUNTRIES; DISASTERS; DISPERSIONS; ENERGY SOURCES; FOSSIL FUELS; FUELS; INDIAN OCEAN; INFORMATION; MATHEMATICAL LOGIC; MIDDLE EAST; MONITORING; NUMERICAL DATA; OPTICAL PROPERTIES; OXIDATION; PHYSICAL PROPERTIES; POLLUTION; SEAS; SOLS; SURFACE WATERS; THERMOCHEMICAL PROCESSES; WELLS; 540120* - Environment, Atmospheric- Chemicals Monitoring & Transport- (1990-)

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                    Morgan, W P. Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis.  United States: N. p., 1992. 
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                    Morgan, W P. Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis.  United States.

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                    Morgan, W P. 1992.  
        "Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis".  United States.

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@article{osti_7065868,

  title        = {Satellite detection of complex aerosols over the Arabian Peninsula/Gulf. Master's thesis},

  author       = {Morgan, W P},

  abstractNote = {Satellite detection of complex aerosols, in particular, Oil smoke over water and dust over land, is generally difficult. On 1 March 1991, a smoke plume generated by burning Kuwaiti oil wells and a dust storm over the southwestern Arabian Peninsula, provide the opportunity to study both of these effects. Utilizing NOAA-11 AVHRR data, a two dimensional scatter plot analysis technique was employed to determine and classify the radiative signatures of the smoke and dust. A two dimensional mask routine was then used to assess the reliability of the scatter plot analyses and spatially display the results. A channel 1 to channel 2 radiance ratio and a channel 4 brightness temperature combination provided the best separation of the smoke signature from water. The dust plume was unambiguously represented by a channel 5 brightness temperature minus channel 4 brightness temperature image and a channel 4 brightness temperature combination. Together the 2D scatter plot technique and 2D mask form the groundwork for a possible detection algorithm. Aersol Detection, Scatter Plot, Mask.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/7065868},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Mar 01 00:00:00 EST 1992},

  month        = {Sun Mar 01 00:00:00 EST 1992}

}

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