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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Regional datasets of long-term and coarse resolution irrigation estimates from space

Authors: Laluet, Pierre; Dari, Jacopo; Busschaert, Louise; Heyvaert, Zdenko; Brocca, Luca; Massari, Christian; Modanesi, Sara; +9 Authors

Regional datasets of long-term and coarse resolution irrigation estimates from space

Abstract

Description The products are experimental datasets of long-term (approximately 20 years) Irrigation Water Use at 0.25° resolution. They cover four regions: the Contiguous United States (CONUS), the Ebro River Basin in north-eastern Spain, the Murray-Darling Basin in south-eastern Australia, and India. These datasets are the outcome of the European Space Agency (ESA) Climate Change Initiative Anthropogenic Water Use (CCI-AWU) precursor project (project link). They were produced using three different methods: SM-based (Soil-Moisture-based) Inversion, SM-based Delta, and Model-Observation Integration, which is based on the Noah-Multiparameterization model. The SM-based Inversion method was used to produce five datasets for the four regions, each using a different SM product as input. These include ESA CCI Combined, ESA CCI Passive, ASCAT (Advanced Scatterometer), SMOS (Soil Moisture and Ocean Salinity), and SMAP (Soil Moisture Active Passive). The SM-based Delta method was used to produce six datasets for the four regions, each combining different SM and evapotranspiration (ET) products as input. The combinations include ESA CCI Combined SM & FLUXCOM ET, ESA CCI Passive SM & FLUXCOM ET, ESA CCI Active SM & FLUXCOM ET, ESA CCI Combined SM & SSEBOP ET, ESA CCI Passive SM & SSEBOP ET, and ESA CCI Active SM & SSEBOP ET. The Model-Observation Integration method was applied to the CONUS and Murray-Darling Basin regions, producing three datasets using different irrigated surface maps as input. These maps include the Landsat-Derived Global Rainfed and Irrigated-Cropland Product (referred to as "Landsat", the Relative Bias Approach (referred to as "Method1"), and the Multi-Resolution Analysis Approach (referred to as "Method2"). The irrigation products are delivered with monthly temporal aggregation. Acknowledgements: The datasets were developed as part of the ESA CCI-AWU precursor project (contract no. 4000142449/23/I-NB).

Keywords

Evapotranspiration, Satellite, SM-based, Soil moisture, Remote sensing, Irrigation water, Irrigation, Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average