Rotational Modulation of Spectroscopic Zeeman Signatures in Low-mass Stars
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Atmospheric effects on sonic boom pressure wave shapes
Optical diffraction scanning for frequency content and changes in variable-density seismogram
Remote sensing techniques used as indicators of root disease on forest areas
Sonic boom measurement instrumentation noting use of frequency response, vibration isolation, wind screening, etc
Visible and near infrared spectrometric tests of selected black and white film-filter combinations for descriminating between healthy and diseased Douglas fir trees
Atmospheric effects on sonic boom characteristics
Variations of sonic booms resulting from atmospheric effects on flight tests
Subjective response to far field noise characteristics of V/STOL aircraft sized to carry 60 passengers over 500 mile range
Extrapolation of measured overpressure data for predicting sonic boom characteristics of different aerodynamic configurations
The development and testing of airborne sensors that might be effective in discrimination root rot infected trees from healthy ones are outlined. The sensing device is composed of a thermal infrared radiometer and an instant replay video scan system.
The waveform parameter method of sonic boom extrapolation is derived and shown to be equivalent to the F-function method. A computer program based on the waveform parameter method is presented and discussed, with a sample case demonstrating program input and output.
A field research program was begun in 1969 and intensified in 1970 on the physiology and biophysical responses of second-growth Douglas fir infected with root rot fungus. A double tramway system was suspended between three 100-foot instrument towers to carry sensors for measuring the energy response from above both healthy and infected trees. Processing and analysis was completed of airborne multispectral scanner imagery collected over the Wind River research area in 1969. Likelihood ratio processing of three-channel infrared data and Euclidean distance analysis of ten-channel spectrometer data did not identify incipient root rot infection outside the training sets. In all cases infected fir was misclassified as healthy fir. It was concluded from careful examination of physiological data that Poria root rot infection has little effect on water metabolism and energy exchange. What was identified was a low-grade stress that affects respiration and metabolism over long periods of time. This led to minor changes in the external physical symptoms of Poria-infected trees which was revealed only in the shortwave reflectance data.