A model-based small-area estimation approach integrates satellite ammonia data as covariates, using geostatistical upscaling and parametric bootstrap to handle spatial misalignment and produce more accurate carbon footprint estimates at agrarian subregion level.
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On the use of satellite information to estimate agricultural carbon footprint in a small area framework
A model-based small-area estimation approach integrates satellite ammonia data as covariates, using geostatistical upscaling and parametric bootstrap to handle spatial misalignment and produce more accurate carbon footprint estimates at agrarian subregion level.