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19 July 2021 – 23 July 2021 OSA Virtual Event - Pacific Daylight/Summer Time (UTC - 07:00)

Hyperspectral Imaging and Sounding of the Environment

Image Credit: Elizabeth Hillman, Columbia University


Seeking innovations in hyperspectral instrumentation and data analysis methods to study geophysical, ecological, and atmospheric phenomena, to achieve material identification for diverse applications, and to advance capabilities for anomaly- and signature-based detection.

The scope of HISE continues to expand as hyperspectral measurement and detection systems proliferate. On the very large scale, these provide unprecedented opportunities to monitor and understand our planetary system; on moderate scales, they can be used to observe human interactions with the ecosystem; and at smaller scales, they can provide vital information for material identification and industrial processes. Fusing hyperspectral observations with other sensing modalities shows great scientific potential and promises enhanced discrimination capabilities. This meeting will cover hyperspectral sensing over scales ranging from centimeters to kilometers and will present the latest advances in hyperspectral detection hardware, data processing, algorithm development, and applications.

Presentations on all relevant passive, active, imaging, and sounding hyperspectral and related remote sensing programs, technologies, missions, field campaigns, signal processing, applications, validation approaches, and basic research are welcome. The meeting covers both close and far range hyperspectral measurement techniques, including the use of hyperspectral sensing for material identification and industrial process control. Additionally, research is solicited on the use of current and future measurements for providing products useful for rapid response efforts to phenomena such as downed aircraft, volcanoes, floods, oil spills, changes in land cover, snow/ice cover, treaty violations, biomass burning, tropical storms, trace gas emissions, and heavy aerosol events. Applications of hyperspectral technologies for responding to and monitoring the effects of natural disasters and the use of artificial intelligence and machine learning techniques for hyperspectral data analysis are of particular interest.

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Committee Members

  • Ka Lok Chan, German Aerospace Center (DLR), GermanyProgram Chair
  • Wesley Moses, Naval Research Laboratory, United StatesProgram Chair
  • Shen-En Qian, Canadian Space AgencyProgram Chair
  • Stephen Achal, 4piLab, Canada
  • Miran Bürmen, University of Ljubljana, Slovenia
  • Christine Chiu, Colorado State University, United States
  • Emmanuel Devred, Bedford Institute of Oceanography, Canada
  • Saskia Foerster, German Research Center for Geosciences , Germany
  • Michelle Gierach, Jet Propulsion Laboratory, United States
  • Emmett Ientilucci, Rochester Institute of Technology, United States
  • Stéphane JACQUEMOUD, University Paris Diderot, France
  • Sanna Kaasalainen, FinnishGeospatial Research Institute, Finland
  • Stefan Livens, VITO, Belgium
  • Louis Moreau, ABB Inc, Canada
  • Saurabh Prasad, University of Houston, United States
  • Andrea Vander Woude, NOAA Great Lakes Environmental Res Lab, United States
  • H. Peter White, Canada Centre for Remote Sensing, Canada
  • Ping Yang, Texas A&M University, United States


Ka Lok Chan

German Aerospace Center (DLR), Germany
Program Chair

Wesley Moses

Naval Research Laboratory, United States
Program Chair

Shen-En Qian

Canadian Space Agency,
Program Chair


OSA - The Optical Society

Corporate Sponsor

American Elements