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Active Measurement

Motivation

  • Computational limitations instead of resolution
  • Distributed network of observational sensors

ML prediction to scientific insights

Bird Migration

  • Weather radars to track birds. They travel at night, we cannot see them but radars are sensitive enough to see them
  • Dark Ecology
    • Can we extract something from the 25 year archival data?
  • Extract birds from the radar data. They were not measuring birds intentionally but they can be extracted form the data
  • Plot biomass density vs direction, speed, height

Challenges

  • Big data
    • Huge number of radars
    • Resolution heterogeneity
    • Remove weather contamination. It is not a problem other way around (biomass so small compared to weather that they can ignore them but it doesn’t work that way for biomass)
      • MistNet. CNN for weather radar
      • Produce mask from radar measurement data
      • Training data?
        • Dual polarization radar helped with this to label
        • Rain circular birds not
        • After 2013 the sensors does the classification do not need Mistnet
      • Spring they move north then they come back later in the year to the south

Monte Carlo Sampling

  • Improve variance by importance sampling