Dr. Heidi M. Dierssen Profile

Dr. Heidi M. Dierssen

SPIE Involvement:

Conference Program Committee | Author

SPIE Journal Paper | 10 October 2018

Snow and Water Imaging Spectrometer: mission and instrument concepts for earth-orbiting CubeSats

Holly Bender, Pantazis Mouroulis, Heidi Dierssen, Thomas Painter, David Thompson, Christopher Smith, Johannes Gross, Robert Green, Justin Haag, Byron Van Gorp, Ernesto Diaz

JARS, Vol. 12, Issue 04, 044001, (October 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.044001

KEYWORDS: Spectroscopy, Sensors, Signal to noise ratio, Clouds, Spatial resolution, Satellites, Space operations, Calibration, Climatology, Atmospheric modeling

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Proceedings Article | 23 September 2013 Paper

Overview of hyperspectral remote sensing for mapping marine benthic habitats from airborne and underwater sensors

Heidi Dierssen

Proceedings Volume 8870, 88700L (2013) https://doi.org/10.1117/12.2026529

KEYWORDS: Water, Remote sensing, Reflectivity, Sensors, Ocean optics, Prisms, Spectrometers, Atmospheric corrections, Photography, Visible radiation

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Proceedings Article | 28 May 2010 Paper

A method for determining oceanic particle size distributions and particle composition using scanning electron microscopy coupled with energy dispersive spectroscopy

Heather Groundwater, Michael Twardowski, Heidi Dierssen, Antoine Sciandre, Scott Freeman

Proceedings Volume 7729, 77290E (2010) https://doi.org/10.1117/12.853455

KEYWORDS: Particles, Scanning electron microscopy, Chemical analysis, Image analysis, Image processing, Image filtering, Magnesium, Binary data, Spectroscopy, Ocean optics

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Proceedings Article | 19 May 2005 Paper

Monitoring water transparency and diver visibility in ports and harbors using aircraft hyperspectral remote sensing

Charles Trees, Paul Bissett, Heidi Dierssen, David Kohler, Mark Moline, James Mueller, Richard Pieper, Michael Twardowski, J. Ronald Zaneveld

Proceedings Volume 5780, (2005) https://doi.org/10.1117/12.607554

KEYWORDS: Visibility, Ocean optics, Remote sensing, Sensors, Transparency, Water, Signal attenuation, CCD image sensors, Hyperspectral imaging, Defense and security

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Proceedings Article | 6 February 1997 Paper

Estimation of irradiance just below the air-water interface

Heidi Dierssen, Raymond Smith

Proceedings Volume 2963, (1997) https://doi.org/10.1117/12.266443

KEYWORDS: Interfaces, Reflectivity, Ocean optics, Signal attenuation, Transmittance, Algorithm development, Water, Clouds, Calibration, Optical properties

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Measuring irradiance just beneath the air-water interface E_d(0^-), is challenging because of environmental variability of the incident radiation field, such as effects of waves, perturbation by the instrument platform and instrument limitations. Accurate measurements of subsurface irradiance and radiance, however, are critical in the estimation of remote-sensing reflectance values and the development of ocean color algorithms. Subsurface irradiance is typically estimated by extrapolating measured near- surface underwater spectra back to just beneath the surface. Such an approach, assumes that the water's optical properties are consistent within the extrapolation interval. However, the diffuse attenuation coefficients can vary widely in the surface layer due to selective absorption of the short and long wavelengths, pigment concentrations, and ship shadow effects and are strongly dependent on the sampling depth used in the calculation. Another independent estimate of E_d(0^-) is derived by propagating irradiance measured above the sea surface to just beneath the air-water interface. Here, we compare these two independent estimates of E_d(0^-) to examine the accuracy of our methods and instrumentation. We use measurements of downwelling spectral irradiance collected over two seasons at Palmer Station, Antarctica using a Profiling Reflectance Radiometer deployed in freefall mode from a small zodiac, so as to minimize ship shadow effects. While estimates of E_d(0^-) made from above and below the sea surface data wee highly correlated for overcast days, clear days showed much more scatter between the two estimates. This was attributed to wave effects and the lack of completely clear skies without haze or high clouds. Comparison of above and below water observations with theoretical computations suggest systematic error in immersion coefficients used to calibrate the instrument. Further, very shallow density structure introduces layers of water with differing optical properties and causes error in the estimation of E_d(0^-).

Conference Committee Involvement (3)

Active and Passive Remote Sensing of Oceans, Seas, and Lakes

2 December 2024 | Kaohsiung, Taiwan

Remote Sensing of the Open and Coastal Ocean and Inland Waters

24 September 2018 | Honolulu, Hawaii, United States

Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges

4 April 2016 | New Delhi, India

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