DOI: 10.1016/j.jag.2014.08.009
Scopus记录号: 2-s2.0-84920673774
论文题名: Reducing background effects in orchards through spectral vegetation index correction
作者: van Beek J ; , Tits L ; , Somers B ; , Deckers T ; , Janssens P ; , Coppin P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 167
结束页码: 177
语种: 英语
英文关键词: Biophysical variables
; Canopy cover fraction
; Mixture problem
; Orchards
; Signal unmixinga
; Vegetation indices
Scopus关键词: correction
; orchard
; remote sensing
; satellite imagery
; vegetation index
; WorldView
英文摘要: Satellite remote sensing provides an alternative to time-consuming and labor intensive in situ measurements of biophysical variables in agricultural crops required for precision agriculture applications. In orchards, however, the spatial resolution causes mixtures of canopies and background (i.e. soil, grass and shadow), hampering the estimation of these biophysical variables. Furthermore, variable background mixtures obstruct meaningful comparisons between different orchard blocks, rows or within each row. Current correction methodologies use spectral differences between canopies and background, but struggle with a vegetated orchard floor. This background influence and the lack of a generic solution areaddressed in this study. Firstly, the problem was demonstrated in a controlled environment for vegetation indices sensitive to chlorophyll content, water content and leaf area index. Afterwards, traditional background correction methods (i.e. soil-adjusted vegetation indices and signal unmixing) were compared to the proposed vegetation index correction. This correction was based on the mixing degree of each pixel (i.e. tree cover fraction) to rescale the vegetation indices accordingly and was applied to synthetic and WorldView-2 satellite imagery. Through the correction, the effect of background admixture for vegetation indices was reduced, and the estimation of biophysical variables was improved (δR2= 0.2-0.31). © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79481
Appears in Collections: 气候变化事实与影响
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作者单位: KU Leuven, Department of Biosystems, M3-BIORES, Willem de Croylaan 34, Leuven, Belgium; KU Leuven, Division Forest, Nature and Landscape, Celestijnenlaan 200E, Leuven, Belgium; Pcfruit Research Station, Fruittuinweg 1, Sint-Truiden, Belgium; Soil Service of Belgium, Willem de Croylaan 48, Leuven, Belgium
Recommended Citation:
van Beek J,, Tits L,, Somers B,et al. Reducing background effects in orchards through spectral vegetation index correction[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)