Hyperspectral spectrometry as a means to differentiate uninfested and infested winter wheat by greenbug (Hemiptera: Aphididae)

被引:43
作者
Mirik, Mustafa
Michels, Gerald J., Jr.
Kassymzhanova-Mirik, Sabina
Elliott, Norman C.
Bowling, Roxanne
机构
[1] Texas A&M Univ, Ctr Agr Res & Extens, Amarillo, TX 79106 USA
[2] USDA, ARS, Stillwater, OK 74075 USA
[3] W Texas State Univ, Canyon, TX 79016 USA
关键词
greenbug; remote sensing; spectral signatures; vegetation indices; wheat;
D O I
10.1603/0022-0493-99.5.1682
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Although spectral remote sensing techniques have been used to study many ecological variables and biotic and abiotic stresses to agricultural crops over decades, the potential use of these techniques for greenbug, Schizaphis graminum (Rondani) (Hemiptera: Aphididae) infestations and damage to wheat, Triticum aestivum L., under field conditions is unknown. Hence, this research was conducted to investigate: 1) the applicability and feasibility of using a portable narrow-banded (hyperspectral) remote sensing instrument to identify and discern differences in spectral reflection patterns (spectral signatures) of winter wheat canopies with and without greenbug damage; and 2) the relationship between miscellaneous spectral vegetation indices and greenbug density in wheat canopies growing in two fields and under greenhouse conditions. Both greenbug and reflectance data were collected from 0.25-, 0.37-, and 1-m(2) plots in one of the fields, greenhouse, and the other field, respectively. Regardless of the growth conditions, greenbug-damaged wheat canopies had higher reflectance in the visible range and less in the near infrared regions of the spectrum when compared with undamaged canopies. In addition to percentage of reflectance comparison, a large number of spectral vegetation indices drawn from the literature were calculated and correlated with greenbug density. Linear regression analyses revealed high relationships (R-2 ranged from 0.62 to 0.85) between greenbug density and spectral vegetation indices. These results indicate that hyperspectral remotely sensed data with an appropriate pixel size have the potential to portray greenbug density and discriminate its damage to wheat with repeated accuracy and precision.
引用
收藏
页码:1682 / 1690
页数:9
相关论文
共 43 条
[1]   Toward the discrimination of manganese, zinc, copper, and iron deficiency in 'Bragg' soybean using spectral detection methods [J].
Adams, ML ;
Norvell, WA ;
Philpot, WD ;
Peverly, JH .
AGRONOMY JOURNAL, 2000, 92 (02) :268-274
[2]   POTENTIALS AND LIMITS OF VEGETATION INDEXES FOR LAI AND APAR ASSESSMENT [J].
BARET, F ;
GUYOT, G .
REMOTE SENSING OF ENVIRONMENT, 1991, 35 (2-3) :161-173
[3]  
BROOKS HL, 1991, MF925 STAT U AGR EXP
[4]   GREENBUG DAMAGE ON THE AERIAL VEGETATIVE GROWTH OF 2 BARLEY CULTIVARS [J].
CASTRO, AM ;
RUMI, CP .
ENVIRONMENTAL AND EXPERIMENTAL BOTANY, 1987, 27 (03) :263-271
[5]   INFLUENCE OF GREENBUG ON ROOT-GROWTH OF RESISTANT AND SUSCEPTIBLE BARLEY GENOTYPES [J].
CASTRO, AM ;
RUMI, CP ;
ARRIAGA, HO .
ENVIRONMENTAL AND EXPERIMENTAL BOTANY, 1988, 28 (01) :61-+
[6]   Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance [J].
Daughtry, CST ;
Walthall, CL ;
Kim, MS ;
de Colstoun, EB ;
McMurtrey, JE .
REMOTE SENSING OF ENVIRONMENT, 2000, 74 (02) :229-239
[7]   Assessing leaf pigment content and activity with a reflectometer [J].
Gamon, JA ;
Surfus, JS .
NEW PHYTOLOGIST, 1999, 143 (01) :105-117
[8]   SPECTRAL PROPERTIES OF PLANTS [J].
GATES, DM ;
KEEGAN, HJ ;
SCHLETER, JC ;
WEIDNER, VR .
APPLIED OPTICS, 1965, 4 (01) :11-&
[9]   A generalized soil-adjusted vegetation index [J].
Gilabert, MA ;
González-Piqueras, J ;
García-Haro, FJ ;
Meliá, J .
REMOTE SENSING OF ENVIRONMENT, 2002, 82 (2-3) :303-310
[10]   Remote estimation of chlorophyll content in higher plant leaves [J].
Gitelson, AA ;
Merzlyak, MN .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (12) :2691-2697