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- W4382867054 abstract "A generalised approach to downscale areal observations is illustrated using cotton yield and fibre quality (i.e. length and micronaire) data which is measured as a module (areal) average. Two features of the downscaling algorithm are: (1) to estimate (if any) spatial trends (using regression) in yield and quality with fine resolution predictors such as remote sensing imagery, and; (2) use area-to-point kriging (A2PK) to downscale either the observations in the absence of a useful spatial trend model or the residuals from the trend model (if useful) from areal averages. Spatial trends in yield and micronaire could be estimated using regression with remote sensing covariates, whereas A2PK was chosen as an alternate modelling approach for downscaling areal observations for length. This approach allows prediction at any support – point, block, whole field – and can be applied for any areal averaged data (e.g. sugarcane, apples, citrus)." @default.
- W4382867054 created "2023-07-02" @default.
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- W4382867054 date "2023-07-02" @default.
- W4382867054 modified "2023-09-25" @default.
- W4382867054 title "79. A generalised approach to downscale areal-averaged yield and production data: a use-case in cotton quality" @default.
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- W4382867054 doi "https://doi.org/10.3920/978-90-8686-947-3_79" @default.
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