Radiometry of Proximal Active Optical Sensors (AOS) for Agricultural Sensing

被引:55
作者
Holland, Kyle H. [1 ]
Lamb, David W. [2 ]
Schepers, James S. [3 ,4 ]
机构
[1] Holland Sci Inc, Lincoln, NE 68516 USA
[2] Univ New England, Precis Agr Res Grp, Armidale, NSW 2351, Australia
[3] Univ Nebraska, USDA ARS, Lincoln, NE 68583 USA
[4] Univ Nebraska, Dept Agron & Hort, Lincoln, NE USA
关键词
Agriculture; optics; optoelectronic devices; radiometry; remote sensing; VEGETATION INDEXES; REFLECTANCE;
D O I
10.1109/JSTARS.2012.2198049
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Over the last decade, portable, active optical sensors (AOS) have become tools in production agriculture both for mapping crops and soils and also for applying agrochemicals. These sensors are often referred to as "proximal" active optical sensors, in recognition of their deployment at sensor-target distances in the order of meters. Unfortunately most users have little understanding of the underlying physics (optics) or construction of these sensors. This paper sets out to document the fundamental electro-optical principles by which these devices operate and to document the mathematical rules governing the use of data produced by these devices. In particular, emphasis is placed on the inverse-square law of optics and how it affects AOS measurements. The basis for utilizing sensor measurements in more complex mathematical functions is also presented, including manipulation of the individual wavelength response data to derive information regarding the distance variation between the sensor and the target.
引用
收藏
页码:1793 / 1802
页数:10
相关论文
共 26 条
[1]  
Beck J. L., 1992, U.S. Patent, Patent No. [5,296,702, 5296702]
[2]  
Beck J. L., 1994, U.S. Patent, Patent No. [5,585,626, 5585626]
[3]  
Beck J. L., 1996, U.S. Patent, Patent No. [5,789,741, 5789741]
[4]   The Dynamic Aerial Survey Algorithm Architecture and Its Potential Use in Airborne Fertilizer Applications [J].
Falzon, Greg ;
Lamb, David W. ;
Schneider, Derek .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (06) :1772-1779
[5]  
Ferte A. M. A., 1938, U.S. Patent, Patent No. [2,177,803, 2177803]
[6]   Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data [J].
Gong, P ;
Pu, RL ;
Biging, GS ;
Larrieu, MR .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (06) :1355-1362
[7]   Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture [J].
Haboudane, D ;
Miller, JR ;
Pattey, E ;
Zarco-Tejada, PJ ;
Strachan, IB .
REMOTE SENSING OF ENVIRONMENT, 2004, 90 (03) :337-352
[8]  
Hanna M.M., 1999, Geocarto International, V14, P89, DOI [10.1080/10106049908542121, DOI 10.1080/10106049908542121]
[9]  
HENDERSON GR, 1975, Patent No. 3910701
[10]   Derivation of a Variable Rate Nitrogen Application Model for In-Season Fertilization of Corn [J].
Holland, K. H. ;
Schepers, J. S. .
AGRONOMY JOURNAL, 2010, 102 (05) :1415-1424