DOI: 10.1016/j.jag.2014.03.010
Scopus记录号: 2-s2.0-84904513791
论文题名: Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion
作者: Zhao F ; , Guo Y ; , Huang Y ; , Reddy K ; N ; , Lee M ; A ; , Fletcher R ; S ; , Thomson S ; J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 31, 期: 1 起始页码: 78
结束页码: 85
语种: 英语
英文关键词: Crop injury
; Foliar biochemistry
; Glyphosate
; Hyperspectral
; Model inversion
; Sensitivity analysis
Scopus关键词: biochemistry
; chlorophyll
; cotton
; crop damage
; glyphosate
; inverse analysis
; leaf
; multispectral image
; remote sensing
; sensitivity analysis
; soybean
英文摘要: Early detection of crop injury from herbicide glyphosate is of significant importance in crop management. In this paper, we attempt to detect glyphosate-induced crop injury by PROSPECT (leaf optical PROperty SPECTra model) inversion through leaf hyperspectral reflectance measurements for non-Glyphosate- Resistant (non-GR) soybean and non-GR cotton leaves. The PROSPECT model was inverted to retrieve chlorophyll content (Ca+b), equivalent water thickness (Cw), and leaf mass per area (Cm) from leaf hyperspectral reflectance spectra. The leaf stress conditions were then evaluated by examining the temporal variations of these biochemical constituents after glyphosate treatment. The approach was validated with greenhouse-measured datasets. Results indicated that the leaf injury caused by glyphosate treatments could be detected shortly after the spraying for both soybean and cotton by PROSPECT inversion, with Caa+b of the leaves treated with high dose solution decreasing more rapidly compared with leaves left untreated, whereas the Cw and Cm showed no obvious difference between treated and untreated leaves. For both non-GR soybean and non-GR cotton, the retrieved Ca+b values of the glyphosate treated plants from leaf hyperspectral data could be distinguished from that of the untreated plants within 48 h after the treatment, which could be employed as a useful indicator for glyphosate injury detection. These findings demonstrate the feasibility of applying the PROSPECT inversion technique for the early detection of leaf injury from glyphosate and its potential for agricultural plant status monitoring. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79762
Appears in Collections: 气候变化事实与影响
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作者单位: School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China; USDA-Agricultural Research Service, Crop Production Systems Research Unit, 141 Experiment Station Road, Stoneville, MS 38776, United States
Recommended Citation:
Zhao F,, Guo Y,, Huang Y,et al. Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,31(1)