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Open Access item Combining hyperspectral vegetation indices for a better estimation of crop chlorophyll content for application to precision agriculture
Miller, J. R.
Zarco-Tejada, Pablo J.
|Keywords:||Crop chlorophyll content, Hyperspectral vegetation indices|
|Abstract:||Recent studies have demonstrated the usefulness of optical indices from hyperspectral remote
sensing in the assessment of vegetation biophysical variables both in forestry and agriculture.
Those indices are, however, responsive to variations of several vegetation and environmental
properties such as: Leaf Area Index (LAI), leaf chlorophyll content and background soil
reflectance. The chlorophyll content is an indicator of photosynthesis activity, and is linked to
the nitrogen concentration in green vegetation. For this reason, remote sensing techniques
promise a potentially efficient tool to assess the spatial variability of nitrogen in the
agricultural landscapes, and the response to nitrogen application. To this purpose, an accurate
and quick estimation of the vegetation chlorophyll content will help in advising farmers about
supplying adequate nitrogen quantities and preventing excessive nitrogen losses to the
environment. This paper presents a combined modelling and indices-based approach to
determine the crop chlorophyll content while minimizing LAI (vegetation parameter)
influence and underlying soil (background) effects. This combined method has been
developed first using simulated data, and followed by evaluation in terms of quantitative
predictive capability using real hyperspectral data. Simulations consist in leaf and canopy
reflectance modeling with PROSPECT and SAIL models, which are followed by application
to hyperspectral CASI imagery that were collected over corn crops in three experimental
farms from Ontario and Quebec, Canada. Results presented are from the L’Acadie, Quebec,
Agr. & Agri-food Canada research site.|
|Description:||Presented at the International Symposium of Spectral Sensing Research (ISSSR), Quebec City (Canada),
June 10th-15th, 2001.|
|Appears in Collections:||(IAS) Comunicaciones congresos|
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