Spatial analysis of potato canopy nitrogen content using remotely sensed reflectance measurements Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/kw52jc37v

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  • 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.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-11-20T22:36:14Z (GMT) No. of bitstreams: 1 StangelDavidE1995.pdf: 10054968 bytes, checksum: 5c5b61121aeb374f61e505e18f0c3687 (MD5)
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