Autonomous detection of cryospheric change with hyperion on-board Earth Observing-1

T. Doggett, R. Greeley, S. Chien, R. Castano, B. Cichy, A. G. Davies, G. Rabideau, R. Sherwood, D. Tran, V. Baker, J. Dohm, F. Ip

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


On-board detection of cryospheric change in sea ice, lake ice, and snow cover is being conducted as part of the Autonomous Sciencecraft Experiment (ASE), using classifiers developed for the Hyperion hyper-spectral visible/infrared spectrometer on-board the Earth Observing-1 (EO-1) spacecraft. This classifier development was done with consideration for the novel limitations of on-board processing, data calibration, spacecraft targeting error and the spectral range of the instrument. During on-board tests, these algorithms were used to measure the extent of cloud, snow, and ice cover at a global suite of targets. Coupled with baseline imaging, uploaded thresholds were used to detect cryospheric changes such as the freeze and thaw of lake ice and the formation and break-up of sea ice. These thresholds were used to autonomously trigger follow-up observations, demonstrating the capability of the technique for future planetary missions where downlink is a constrained resource and there is high interest in data covering dynamic events, including cryospheric change. Before upload classifier performance was assessed with an overall accuracy of 83.3% as measured against manual labeling of 134 scenes. Performance was further assessed against field mapping conducted at Lake Mendota, Wisconsin as well as with labeling of scenes that were classified during on-board tests.

Original languageEnglish (US)
Pages (from-to)447-462
Number of pages16
JournalRemote Sensing of Environment
Issue number4
StatePublished - Apr 30 2006


  • Autonomy
  • Cryosphere

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences


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