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MICRORELIEF METER FOR FIELD TOPOGRAPHY MEASUREMENTS

Authors: null B. N. Wilson; null R. B. Leaf; null B. J. Hansen;

MICRORELIEF METER FOR FIELD TOPOGRAPHY MEASUREMENTS

Abstract

The design and evaluation of an automated, non–contact microrelief meter for measuring soil surface elevations under field conditions are presented. Key factors in the design of the meter are measurement accuracy, data–collection speed, and portability. Surface elevations are measured by determining the location of a laser line using image–processing techniques. The accuracy was evaluated using blocks of known dimensions. Measurement errors in the x, y and z directions were approximately = 0.25 mm, = 1.5 mm, and = 0.5 mm, respectively. These errors include those caused by the resolution limitations of the image–processing system, shaft encoders, as well as mechanical errors caused by the deflection of the support frame. The system was used to gather microtopography data from field erosion plots. The microrelief meter was able to gather more than 650,000 elevation data values in approximately two hours. Overall, the system was well suited for field topography measurements.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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