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Onboard Science Processing Concepts for the HyspIRI Mission
November/December 2009 (vol. 24 no. 6)
pp. 12-19
Steve Chien, Jet Propulsion Laboratory, California Institute of Technology
Dorothy Silverman, Jet Propulsion Laboratory, California Institute of Technology
Ashley Gerard Davies, Jet Propulsion Laboratory, California Institute of Technology
Daniel Mandl, Goddard Space Flight Center

Onboard, intelligent event detection and product generation represents a significant application area for AI in space—timely delivery of remotely sensed data products to enable management of natural hazards and ecosystem concerns. High-payoff applications include volcano monitoring, wildfire detection and rehabilitation tracking, vegetation and ecosystem tracking, flood monitoring, snow and ice tracking, oceanographic applications, and dust storm detection and monitoring. An operational concept under consideration for the HyspIRI Earth Observing mission being considered for launch later this decade uses AI techniques both for onboard processing and mission planning on the ground.

1. J.W. Ewert and C.J. Harpel, "In Harm's Way: Population and Volcanic Risk," Geotimes, vol. 49, no. 4, 2004, pp. 14–17.
2. S. Chien et al., "Using Autonomy Flight Software to Improve Science Return on Earth Observing One," J. Aerospace Computing, Information, and Communication, vol. 2, no. 4, 2005, pp. 196–216.
3. A.G. Davies et al., "Monitoring Active Volcanism with the Autonomous Sciencecraft Experiment (ASE) on EO-1," Remote Sensing of Environment, vol. 101, no. 4, 2006, pp. 427–446.
4. S. Chien et al., "An Autonomous Earth-Observing Sensorweb," IEEE Intelligent Systems, vol. 20, no. 3, 2005, pp. 16–24.
5. A.G. Davies et al., "Sensor Web Enables Rapid Response to Volcanic Activity," Eos, vol. 87, no. 1, 2006, pp. 1, 5.
6. R. Wright et al., "MODVOLC: Near-Real-Time Thermal Monitoring of Global Volcanism," J. Volcanology and Geothermal Research, vol. 135, nos. 1–2, 2004, pp. 29–49.
7. G.R. Brakenridge and E. Anderson, "MODIS-Based Flood Detection, Mapping, and Measurement: The Potential for Operational Hydrological Applications," Transboundary Floods, Proc. NATO Advanced Research Workshop, Springer, 2005, pp. 1–12.
8. M. Carroll et al., "A New Global Raster Water Mask at 250 Meter Resolution," Int'l J. Digital Earth, to appear, vol. 2, no. 4, 2009.
9. C.O. Justice et al., "The MODIS Fire Products," Remote Sensing of Environment, vol. 83, no. 1, 2002, pp. 244–262.
10. R. Castano et al., "Onboard Classifiers for Science Event Detection on a Remote Sensing Spacecraft," Proc. 12th Ann. SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2006, pp. 845–851.
11. L. Breiman et al., Classification and Regression Trees, Chapman &Hall CRC, 1984.
12. R. Castano et al., "Onboard Analysis of Uncalibrated Data for a Spacecraft at Mars," Proc. 13th Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2007, pp. 922–930.
13. D. Goodenough et al., "Processing Hyperion and ALI for Forest Classification," IEEE Trans. Geoscience and Remote Sensing, vol. 41, no. 6, 2003, pp. 1321–1331.
14. A. Harris et al., "Real-Time Satellite Monitoring of Volcanic Hot Spots," Geophysical Monograph, vol. 116, 2000, pp. 139–159.
15. R. Wright et al., "Automated Volcanic Eruption Detection Using MODIS," Remote Sensing of Environment, vol. 82, no. 1, 2003, pp. 135–155.
16. F. Ip et al., "Flood Detection and Monitoring with the Autonomous Sciencecraft Experiment Onboard EO-1," Remote Sensing of Environment, vol. 101, no. 4, 2006, pp. 463–481.
17. T. Doggett et al., "Autonomous Detection of Cryospheric Change with Hyperion Onboard Earth-Observing 1," Remote Sensing of Environment, vol. 101, no. 4, 2006, pp. 447–462.

Index Terms:
AI in Space, onboard processing, event detection, spacecraft, satellites, Earth Observing, HyspIRI, wildfire detection, volcano monitoring
Citation:
Steve Chien, Dorothy Silverman, Ashley Gerard Davies, Daniel Mandl, "Onboard Science Processing Concepts for the HyspIRI Mission," IEEE Intelligent Systems, vol. 24, no. 6, pp. 12-19, Nov.-Dec. 2009, doi:10.1109/MIS.2009.120
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