Dr. Daniel Morrison Profile

Dr. Daniel Morrison

Physicist

SPIE Involvement:

Author

Publications (12)

Proceedings Article | 30 December 2004 Paper

GUVI: a hyperspectral imager for geospace

Larry Paxton, Andrew Christensen, Daniel Morrison, Brian Wolven, Hyosub Kil, Yongliang Zhang, Bernard Ogorzalek, David Humm, John Goldsten, Robert DeMajistre, Ching-I. Meng

Proceedings Volume 5660, (2004) https://doi.org/10.1117/12.579171

KEYWORDS: Sensors, Mirrors, Spectrographs, Imaging systems, Solar energy, Space operations, Atmospheric particles, Stars, Electronics, Airglow

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Proceedings Article | 30 January 2002 Paper

On-orbit calibration of the Special Sensor Ultraviolet Scanning Imager (SSUSI): a far-UV imaging spectrograph on DMSP F-16

Daniel Morrison, Larry Paxton, David Humm, Brian Wolven, Hyosub Kil, Yongliang Zhang, Bernard Ogorzalek, Ching-I. Meng

Proceedings Volume 4485, (2002) https://doi.org/10.1117/12.454267

KEYWORDS: Sensors, Calibration, Photometry, Spectrographs, Light scattering, Imaging systems, Mirrors, Stars, Scattering, Ultraviolet radiation

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Proceedings Article | 30 January 2002 Paper

Validation of remote sensing products produced by the Special Sensor Ultraviolet Scanning Imager (SSUSI): a far UV-imaging spectrograph on DMSP F-16

Larry Paxton, Daniel Morrison, Yongliang Zhang, Hyosub Kil, Brian Wolven, Bernard Ogorzalek, David Humm, Ching-I. Meng

Proceedings Volume 4485, (2002) https://doi.org/10.1117/12.454268

KEYWORDS: Electrons, Atmospheric particles, Sensors, Data modeling, Airglow, Auroras, Ionization, Imaging systems, Ions, Radar

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Proceedings Article | 30 January 2002 Paper

STARS: the Stellar Absorption and Refraction Sensor

Jeng-Hwa Yee, Daniel Morrison, Graham Murphy, M. Morgan, David Humm, Peter Silverglate, Ronald Vervack, Larry Paxton

Proceedings Volume 4485, (2002) https://doi.org/10.1117/12.454235

KEYWORDS: Stars, Ozone, Refraction, Imaging systems, Spectrographs, Space operations, Sensors, Atmospheric modeling, Image processing, Absorption

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Proceedings Article | 17 November 2000 Paper

SCHOONERS: absorption and refraction of starlight from space for atmospheric profiles

David Humm, Graham Murphy, Jeng-Hwa Yee, Daniel Morrison, M. Morgan, Gene Heyler, H. Shapiro, D. Wilson, Keith Peacock, W. Lees, David Persons, Kevin Heffernan, C. Pardoe

Proceedings Volume 4125, (2000) https://doi.org/10.1117/12.409301

KEYWORDS: Stars, Refraction, Imaging systems, Spectrographs, Image processing, Mirrors, Space operations, Ozone, Earth's atmosphere, Cameras

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Proceedings Article | 20 October 1999 Paper

Global ultraviolet imager (GUVI): measuring composition and energy inputs for the NASA Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) mission

Larry Paxton, Andrew Christensen, David Humm, Bernard Ogorzalek, C. Pardoe, Daniel Morrison, Michele Weiss, W. Crain, Patricia Lew, Dan Mabry, John Goldsten, Stephen Gary, David Persons, Mark Harold, E. Brian Alvarez, Carl Ercol, Douglas Strickland, Ching-I. Meng

Proceedings Volume 3756, (1999) https://doi.org/10.1117/12.366380

KEYWORDS: Sensors, Spectrographs, Mirrors, Imaging systems, Ultraviolet radiation, Auroras, Space operations, Thermosphere, Mesosphere, Electronics

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Proceedings Article | 28 September 1999 Paper

Optical calibration of the Global Ultraviolet Imager (GUVI)

David Humm, Bernard Ogorzalek, Michael Elko, Daniel Morrison, Larry Paxton

Proceedings Volume 3818, (1999) https://doi.org/10.1117/12.364144

KEYWORDS: Calibration, Sensors, Mirrors, Optical calibration, Collimation, Imaging systems, Light scattering, Spectrographs, Scattering, Ultraviolet radiation

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Proceedings Article | 10 November 1998 Paper

Design and performance of the Global Ultraviolet Imager (GUVI)

David Humm, Larry Paxton, Andrew Christensen, Bernard Ogorzalek, C. Pardoe, Ching-I. Meng, Daniel Morrison, Douglas Strickland, J. Evans, Michele Weiss, W. Crain, Patricia Lew, Dan Mabry, John Goldsten, Stephen Gary, Keith Peacock, David Persons, Mark Harold, E. Brian Alvarez, Carl Ercol

Proceedings Volume 3445, (1998) https://doi.org/10.1117/12.330325

KEYWORDS: Sensors, Mirrors, Spectrographs, Imaging systems, Ultraviolet radiation, Electronics, Spatial resolution, Space operations, Spectral resolution, Reflectivity

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Proceedings Article | 8 November 1996 Paper

Stratospheric and lower mesospheric structure sounding using UV-visible band spectral imagery

Robert Sears, Gerald Romick, Daniel Morrison, Patricia Murphy

Proceedings Volume 2831, (1996) https://doi.org/10.1117/12.257190

KEYWORDS: Atmospheric modeling, Ultraviolet radiation, Clouds, Visible radiation, Sensors, Imaging systems, Satellites, Atmospheric sensing, Atmospheric optics, Data modeling

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Atmospheric mesoscale (100's of meters to a few kilometers) temperature structure and the structure associated with thin cirrus and aerosol layers in the upper stratosphere and lower mesosphere are difficult to measure by ground and satellite based techniques. We show in this paper that the altitude range between about 10 and 80 km is amenable to satellite sounding techniques in the UV-visible-near infrared bands (approximately 200 to 900 nm). The rapid change in optical depth vs. line-of-sight (LOS) end point along a downward-viewing LOS in the 200 - 350 nm spectral range allows separation of atmospheric regions according to the LOS optical weighting functions. The UV imager weighting functions (200 - 300 nm) in combination with the satellite- sensor zenith angle effect allows sounding in the approximately 40 to 80 km region, while the visible band imagery allows detection and separation of high altitude cloud structure leakage from the UV images of clear-air density structure. The instrument requirements necessary to detect such structure and to discriminate aerosol-induced Mie scatter from Rayleigh scatter components consists of UV to visible band spectral imagers having sufficient spatial, temporal and spectral resolutions. Only moderate spectral resolution imagery in the 200 to 900 nm region over a range of sensor line of sight nadir angles is required to detect clouds and infer cloud types. However, high signal to noise ratios and high spatial resolution are required to characterize the structure power spectral density of clouds and clear-air scatter components. Middle atmosphere structure sounding capability on the mesoscale level allows connection between turbulent-like small scale atmospheric phenomenology and larger scale cloud-related and weather- driven atmospheric variability. We demonstrate the stratosphere-mesosphere sounding concept by applying a low altitude mesoscale stochastic structure (LAMSS) model. This model was derived from the NSS (non-stationary stochastic structure) model which utilizes multi-dimensional Fourier- space descriptions of wavelike, turbulent-like, and deterministic, large scale structure to simulate the effects of atmospheric earthlimb structure. LAMSS specifically address tropospheric background clutter processes such as clear-air wind shears, turbulence, temperature inversions, and cirrus cloud structure. The empirical models are applied to synthesis of visible, UV, and IR clutter backgrounds as measured by passive spectral imaging sensors such as the UVISI (UV, Visible Imagers and Spectral Imagers) sensors on the Mid-course Space Experiment (MSX). This paper analyzes images from MSX-UVISI to obtain cloud and atmospheric density structure characteristics in the 200 - 230 nm UV and 300 - 900 nm visible bands. These data illustrates the feasibility of the UV structure sounding concept by comparison to the synthesized structured backgrounds.

Proceedings Article | 8 November 1996 Paper

Simulation of spaceborne optical sensor data: I. Modeling capabilities with examples

James Bishop, John Persing, Douglas Strickland, J. Evans, Robin Cox, Donald Anderson, Larry Paxton, Daniel Morrison, Gerald Romick, Ching-I. Meng

Proceedings Volume 2831, (1996) https://doi.org/10.1117/12.257194

KEYWORDS: Data modeling, Atmospheric modeling, Device simulation, Imaging systems, Rayleigh scattering, Data conversion, Data acquisition, Space operations, Airglow, Aerospace engineering

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Proceedings Article | 15 June 1994 Paper

Midcourse Space Experiment satellite ultraviolet and visible background phenomenology

Gerald Romick, Donald Anderson, James Carbary, Larry Paxton, Daniel Morrison, Ching-I. Meng

Proceedings Volume 2223, (1994) https://doi.org/10.1117/12.177910

KEYWORDS: Satellites, Ultraviolet radiation, Visible radiation, Atmospheric modeling, Spectrographs, Imaging systems, Spatial resolution, Earth's atmosphere, Satellite imaging, Earth observing sensors

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Proceedings Article | 22 January 1993 Paper

Power spectral density analysis of UV clutter

Patricia Murphy, Larry Paxton, Daniel Morrison, James Carbary, Ching-I. Meng

Proceedings Volume 1764, (1993) https://doi.org/10.1117/12.140848

KEYWORDS: Ultraviolet radiation, Image processing, Sensors, Fourier transforms, Visible radiation, Satellite imaging, Satellites, Earth's atmosphere, Atmospheric particles, Ozone

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Showing 5 of 12 publications

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