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Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model |
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| Authors: | Elizabeth J Botha Brigitte Leblon Bernie Zebarth James Watmough |
| Institution: | aFaculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 44555, Fredericton, NB E3B 6C2, Canada;bPotato Research Centre, Agriculture and Agri-Food Canada, P.O. Box 20280, Fredericton, NB E3B 4Z7, Canada;cDepartment of Mathematics and Statistics, University of New Brunswick, P.O. Box 4400, Fredericton, NB E3B 5A3, Canada |
| Abstract: | Optimizing nitrogen (N) fertilization in crop production by in-season measurements of crop N status may improve fertilizer N use efficiency. Hyperspectral measurements may be used to assess crop N status by estimating leaf chlorophyll content. This study evaluated the ability of the PROSAIL canopy-level reflectance model to predict leaf chlorophyll content. Trials were conducted with two potato cultivars under different N fertility rates (0–300 kg N ha−1). Canopy reflectance, leaf area index (LAI) and leaf chlorophyll and N contents were measured. The PROSAIL model was able to predict leaf chlorophyll content with reasonable accuracy later in the growing season. The low estimation accuracy earlier in the growing season could be due to model sensitivity to non-homogenous canopy architecture and soil background interference before full canopy closure. Canopy chlorophyll content (leaf chlorophyll content × LAI) was predicted less accurately than leaf chlrophyll content due to the low estimation accuracy of LAI for values higher than 4.5. |
| Keywords: | Solanum tuberosum L PROSAIL radiative transfer model Canopy reflectance Leaf chlorophyll LAI |
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