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- W2108268616 abstract "The empirical line method (ELM) is widely used to atmospherically correct airborne remotely sensed imagery. It is based on a simple linear regression between remotely sensed measurements of radiance and field based measurements of reflectance. To construct the regression, spatially coincident field and airborne measurements are paired. This research investigates the impact of uncertainty in the location of the field measurements on the outcome of the regression. First, block kriging was used to aggregate the field measurements to the same support as pixels. It was shown that large positional uncertainty gives a small effect on estimation of parameters of the ELM. Second the co-located field and pixel values were combined. It was shown that low positional uncertainty introduces variability in to parameter estimation for the ELM and that this is likely to concern the practitioner.Key wordspositional uncertaintysupportEmpirical Line Method" @default.
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- W2108268616 date "2006-03-15" @default.
- W2108268616 modified "2023-09-24" @default.
- W2108268616 title "On the Effect of Positional Uncertainty in Field Measurements on the Atmospheric Correction of Remotely Sensed Imagery" @default.
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- W2108268616 doi "https://doi.org/10.1007/1-4020-2115-1_8" @default.
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