This study sought to explore the relationship between spatial scale and canopy
chemistry through the use of remotely sensed videography data and total nitrogen content
of potato petioles. A range of broad band spectral indices were employed along with
standard red and green wavelengths to define an optimum scale or range of scales in
which the accuracy of predicting leaf canopy chemistry could be improved.
Difficulties inherent within video imagery due to the method in which the
National Television System Committee's (NTSC) analog signal is comprised were
studied. Spectral quantification of the video signal was not possible within the study,
instead attention centered on showing the consistent and well correlated results that could
be obtained using such data.
Spectroradiometer measurements were also obtained for comparison with video
response. Correlation between the two sensors was low, primarily due to the nature of
the respective signals. Multispectral imagery was obtained from SPOT for spatial
resolution comparison.
The light research aircraft employed to collect the aerial video imagery proved to
be a versatile and cost effective alternative to traditional remote sensing platforms. The
data produced within the study support the project objectives in defining regions of high
to low prediction accuracy. A reduction in spatial scale increases the ground area
represented by an individual pixel and reduces the quantity and quality of information
available to the sensor. The study illustrated a possible spatial resolution breakoff point
at which nitrogen content prediction accuracy is greatly diminished. / Graduation date: 1995
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/35145 |
| Date | 17 May 1994 |
| Creators | Stangel, David E. |
| Contributors | Chen, Chaur-Fong |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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