Pesticides application rate maps in the European Union at a 250 m spatial resolution

Our work targets mapping of pesticides application rates within the European Union at a 250 m spatial resolution. Source data include global estimates of pesticide inputs, high resolution crop maps and pesticide usage reported by EUROSTAT official figures. Previously published global pesticide application rates in PEST-CHEMGRIDS are used as first guess estimates. These are then adjusted using a calibration dataset gathered from pesticide use in agriculture. The estimation of the applied mass by country and crop type is then combined with high resolution crop maps. The procedure explicitly accounts for data quality and uncertainty through a Maximum Likelihood estimation procedure. This data product features detailed spatial distributions of pesticide inputs, facilitating evaluation of pesticide fate and transport, biogeochemical transformations as well as environmental risk assessment.

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Publication Details

Journal
Scientific Data
Published
2025-05-01
DOI
https://doi.org/10.1038/s41597-025-05031-7
Citations
6
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
Field-Weighted Citation Impact
9.30

Funders

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article

Pesticides application rate maps in the European Union at a 250 m spatial resolution

Giovanni Porta, Andrea Manzoni, Mònica Riva, Alberto Guadagnini et al.
6 citations
Scientific Data
Pesticide Residue Analysis and Safety
9.30
article

Pesticides application rate maps in the European Union at a 250 m spatial resolution

Giovanni Porta, Andrea Manzoni, Mònica Riva, Alberto Guadagnini, Federico Maggi, Leon Casse
article en
6 citations

Abstract

Our work targets mapping of pesticides application rates within the European Union at a 250 m spatial resolution. Source data include global estimates of pesticide inputs, high resolution crop maps and pesticide usage reported by EUROSTAT official figures. Previously published global pesticide application rates in PEST-CHEMGRIDS are used as first guess estimates. These are then adjusted using a calibration dataset gathered from pesticide use in agriculture. The estimation of the applied mass by country and crop type is then combined with high resolution crop maps. The procedure explicitly accounts for data quality and uncertainty through a Maximum Likelihood estimation procedure. This data product features detailed spatial distributions of pesticide inputs, facilitating evaluation of pesticide fate and transport, biogeochemical transformations as well as environmental risk assessment.

Scientific DataVol. 12(1)
The University of Sydney (AU), Politecnico di Milano (IT)
European Commission
Openalex Percentile: Top 2%
Pesticide Residue Analysis and Safety
9.30
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