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Proceedings Paper

Ground-based imaging system for soil surface roughness measurement
Author(s): Zhiling Long; Ping-Rey Jang; Jiann-Cherng Su; Yun Sun; J. Alex Thomasson; S.D. Filip To
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Paper Abstract

Surface roughness is an important physical property of soil in agricultural applications. It is a key parameter affecting the optical reflectance of bare soils, which can be computed from imagery acquired with airborne or space-based remotesensing devices. Accurate ground-truth roughness data need to be collected before a correct computational interpretation can be made. This paper presents the development of a real-time, geo-referenced, ground-based imaging system that produces quantitative ground truth information of soil surface roughness. The system applies Fourier transform profilometry (FTP) to an image of a soil area under study to obtain relative height data of the surface. Then it computes parameters such as root mean square (RMS) and correlation length as measures of roughness. Measurement experiments have been carried out successfully both under simulated conditions in the laboratory and in the field. The results show that the system is capable of generating reliable ground-truth soil surface roughness information. In comparison with other approaches, this developed system is fast, efficient and inexpensive.

Paper Details

Date Published: 30 March 2004
PDF: 8 pages
Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); doi: 10.1117/12.515564
Show Author Affiliations
Zhiling Long, Mississippi State Univ. (United States)
Ping-Rey Jang, Mississippi State Univ. (United States)
Jiann-Cherng Su, Georgia Institute of Technology (United States)
Yun Sun, Mississippi State Univ. (United States)
J. Alex Thomasson, Mississippi State Univ. (United States)
S.D. Filip To, Mississippi State Univ. (United States)

Published in SPIE Proceedings Vol. 5271:
Monitoring Food Safety, Agriculture, and Plant Health
George E. Meyer; Yud-Ren Chen; Shu-I Tu; Bent S. Bennedsen; Andre G. Senecal, Editor(s)

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