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TitleEstimation of crop ground cover and leaf area index (LAI) of wheat using RapidEye satellite data: Prelimary study
AuthorJiali, S; McNairn, H; Schulthess, U; Fernandes, R; Storie, J
Source2012 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012; 6311624, 2012 p. 124-128, https://doi.org/10.1109/Agro-Geoinformatics.2012.6311624
Year2012
Alt SeriesNatural Resources Canada, Contribution Series 20181152
PublisherIEEE
Documentbook
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramClimate Change Geoscience
AbstractLeaf area index (LAI) is an important indicator of plant growth and biomass accumulation. LAI is often required as an input parameter in many models, especially for crop yield predication and soil moisture retrieval. With recently due to the increasing demand on large-scale monitoring, optical satellite sensors capable of providing frequent LAI estimation over large coverage are favored. This paper reports the results from a study over an agriculture site with spring wheat in western Canada using data acquired from RapidEye and in situ measurements using LAI analyzer and hemispherical photos during the 2011 growing season. The prediction of crop ground cover fraction has yield a coefficient of determination of 0.66. Even better result was achieved for LAI prediction with a coefficient of determination of 0.82. Results suggest that RapdiEye optical satellite data can be a valuable data source for crop ground cover fraction and LAI retrieval.
GEOSCAN ID311506