Evidence map›Paper›PMID 40541984›Full record

ArticleScientific data2025

The AIDA 1 km resolution crop-specific rainfed and irrigated areas and green and blue water demands for Italy.

Nikolas Galli, Harsh Nanesha, Arianna Tolazzi, Davide Danilo Chiarelli, Maria Cristina Rulli

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Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nikolas GalliDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy. nikolas.galli@polimi.it.ORCID http://orcid.org/0000-0002-6746-5350
Harsh NaneshaDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy.
Arianna TolazziDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy.ORCID http://orcid.org/0009-0008-5832-6077
Davide Danilo ChiarelliDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy.ORCID http://orcid.org/0000-0002-4707-3018
Maria Cristina RulliDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy.ORCID http://orcid.org/0000-0002-9694-4262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate and global changes alter natural resources demand and availability for meeting societal needs. Agricultural water use remains a priority, as agriculture remains the first freshwater consumer. Accurate mapping of irrigated and rainfed crops is crucial in agro-hydrological modelling for water management and policy. Taking Italy as prominent case, we present AIDA (Agricultural Irrigation Demand Analyzer), a set of high-resolution crop-specific maps of rainfed and irrigated areas and water demands. We combine very-high resolution crop-specific landcover datasets with cropland ground data and irrigation intensity maps to derive 1km-resolution maps for rainfed and irrigated crops in the entire Italian territory. A dynamic, spatially distributed agro-hydrological model with state-of-the-art inputs derives evapotranspirative demands partitioned into green water (from precipitation stored as soil moisture) and blue water (from irrigation). Our results have a linear correlation >75% and an error <20% w.r.t. subnational statistics in >80% of the areas. Despite limitations due to inputs, assumptions on hydrological processes and agricultural practices, AIDA complements existing hydrological models and land use datasets for Italy.

Identifiers

PMID40541984
PMCPMC12181306

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.