Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
<p>Irrigation water use represents the primary source of freshwater consumption by humans. The amount of water withdrawals for agricultural purposes is expected to further increase in the upcoming years to face the rising world population and higher living standards. Hence, effective plans for...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-04-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/1555/2023/essd-15-1555-2023.pdf |
| _version_ | 1797851672120131584 |
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| author | J. Dari J. Dari L. Brocca S. Modanesi C. Massari A. Tarpanelli S. Barbetta R. Quast M. Vreugdenhil V. Freeman A. Barella-Ortiz P. Quintana-Seguí D. Bretreger E. Volden |
| author_facet | J. Dari J. Dari L. Brocca S. Modanesi C. Massari A. Tarpanelli S. Barbetta R. Quast M. Vreugdenhil V. Freeman A. Barella-Ortiz P. Quintana-Seguí D. Bretreger E. Volden |
| author_sort | J. Dari |
| collection | DOAJ |
| description | <p>Irrigation water use represents the primary source of
freshwater consumption by humans. The amount of water withdrawals for
agricultural purposes is expected to further increase in the upcoming years
to face the rising world population and higher living standards. Hence,
effective plans for enacting a rational management of agricultural water use
are urgent, but they are limited by knowledge gaps about irrigation.
Detailed information on irrigation dynamics (i.e., extents, timing, and
amounts) is generally lacking worldwide, but satellite observations can be
used to fill this gap.</p>
<p>This paper describes the first regional-scale and high-resolution (1 and 6 km) irrigation water data sets obtained from satellite observations. The
products are developed over three major river basins characterized by
varying irrigation extents and methodologies, as well as by different
climatic conditions. The data sets are an outcome of the European Space
Agency (ESA) Irrigation+ project. The irrigation amounts have been
estimated through the SM-based (soil-moisture-based) inversion approach over
the Ebro river basin (northeastern Spain), the Po valley (northern Italy),
and the Murray–Darling basin (southeastern Australia). The
satellite-derived irrigation products referring to the case studies in
Europe have a spatial resolution of 1 km, and they are retrieved by
exploiting Sentinel-1 soil moisture data obtained through the RT1
(first-order Radiative Transfer) model. A spatial sampling of 6 km is
instead used for the Australian pilot area, since in this case the soil
moisture information comes from CYGNSS (Cyclone Global Navigation Satellite
System) observations. All the irrigation products are delivered with a
weekly temporal aggregation. The 1 km data sets over the two European
regions cover a period ranging from January 2016 to July 2020, while the
irrigation estimates over the Murray–Darling basin are available for the
time span April 2017–July 2020. The retrieved irrigation amounts have
been compared with benchmark rates collected over selected agricultural
districts. Results highlight satisfactory performances over the major part
of the pilot sites falling within the two regions characterized by a
semiarid climate, namely, the Ebro and the Murray–Darling basins, quantified
by median values of RMSE, Pearson correlation <span class="inline-formula"><i>r</i></span>, and bias equal to
12.4 mm/14 d, 0.66, and <span class="inline-formula">−</span>4.62 mm/14 d, respectively, for the Ebro basin
and to 10.54 mm/month, 0.77, and <span class="inline-formula">−</span>3.07 mm/month, respectively, for the
Murray–Darling basin. The assessment of the performances over the Po valley
is affected by the limited availability of in situ reference data for
irrigation. The developed products are made available to the scientific
community for use and further validation at
<a href="https://doi.org/10.5281/zenodo.7341284">https://doi.org/10.5281/zenodo.7341284</a> (Dari et al., 2022a).</p> |
| first_indexed | 2024-04-09T19:21:35Z |
| format | Article |
| id | doaj.art-c7415d0e90b54b4b8f773c2afde1d567 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-09T19:21:35Z |
| publishDate | 2023-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-c7415d0e90b54b4b8f773c2afde1d5672023-04-05T11:39:22ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-04-01151555157510.5194/essd-15-1555-2023Regional data sets of high-resolution (1 and 6 km) irrigation estimates from spaceJ. Dari0J. Dari1L. Brocca2S. Modanesi3C. Massari4A. Tarpanelli5S. Barbetta6R. Quast7M. Vreugdenhil8V. Freeman9A. Barella-Ortiz10P. Quintana-Seguí11D. Bretreger12E. Volden13Department of Civil and Environmental Engineering, University of Perugia, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyResearch Institute for Geo-Hydrological Protection, National Research Council, Perugia, ItalyDepartment of Geodesy and Geoinformation, Research Unit Remote Sensing, Vienna University of Technology (TU Wien), Vienna, AustriaDepartment of Geodesy and Geoinformation, Research Unit Remote Sensing, Vienna University of Technology (TU Wien), Vienna, AustriaEarth Intelligence, Spire Global, 2763 Luxembourg, LuxembourgObservatori de l'Ebre (OE), Ramon Llull University – CSIC, 43520 Roquetes, SpainObservatori de l'Ebre (OE), Ramon Llull University – CSIC, 43520 Roquetes, SpainSchool of Engineering, The University of Newcastle, Callaghan, New South Wales 2308, AustraliaEuropean Space Agency, ESRIN, Frascati, Italy<p>Irrigation water use represents the primary source of freshwater consumption by humans. The amount of water withdrawals for agricultural purposes is expected to further increase in the upcoming years to face the rising world population and higher living standards. Hence, effective plans for enacting a rational management of agricultural water use are urgent, but they are limited by knowledge gaps about irrigation. Detailed information on irrigation dynamics (i.e., extents, timing, and amounts) is generally lacking worldwide, but satellite observations can be used to fill this gap.</p> <p>This paper describes the first regional-scale and high-resolution (1 and 6 km) irrigation water data sets obtained from satellite observations. The products are developed over three major river basins characterized by varying irrigation extents and methodologies, as well as by different climatic conditions. The data sets are an outcome of the European Space Agency (ESA) Irrigation+ project. The irrigation amounts have been estimated through the SM-based (soil-moisture-based) inversion approach over the Ebro river basin (northeastern Spain), the Po valley (northern Italy), and the Murray–Darling basin (southeastern Australia). The satellite-derived irrigation products referring to the case studies in Europe have a spatial resolution of 1 km, and they are retrieved by exploiting Sentinel-1 soil moisture data obtained through the RT1 (first-order Radiative Transfer) model. A spatial sampling of 6 km is instead used for the Australian pilot area, since in this case the soil moisture information comes from CYGNSS (Cyclone Global Navigation Satellite System) observations. All the irrigation products are delivered with a weekly temporal aggregation. The 1 km data sets over the two European regions cover a period ranging from January 2016 to July 2020, while the irrigation estimates over the Murray–Darling basin are available for the time span April 2017–July 2020. The retrieved irrigation amounts have been compared with benchmark rates collected over selected agricultural districts. Results highlight satisfactory performances over the major part of the pilot sites falling within the two regions characterized by a semiarid climate, namely, the Ebro and the Murray–Darling basins, quantified by median values of RMSE, Pearson correlation <span class="inline-formula"><i>r</i></span>, and bias equal to 12.4 mm/14 d, 0.66, and <span class="inline-formula">−</span>4.62 mm/14 d, respectively, for the Ebro basin and to 10.54 mm/month, 0.77, and <span class="inline-formula">−</span>3.07 mm/month, respectively, for the Murray–Darling basin. The assessment of the performances over the Po valley is affected by the limited availability of in situ reference data for irrigation. The developed products are made available to the scientific community for use and further validation at <a href="https://doi.org/10.5281/zenodo.7341284">https://doi.org/10.5281/zenodo.7341284</a> (Dari et al., 2022a).</p>https://essd.copernicus.org/articles/15/1555/2023/essd-15-1555-2023.pdf |
| spellingShingle | J. Dari J. Dari L. Brocca S. Modanesi C. Massari A. Tarpanelli S. Barbetta R. Quast M. Vreugdenhil V. Freeman A. Barella-Ortiz P. Quintana-Seguí D. Bretreger E. Volden Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space Earth System Science Data |
| title | Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space |
| title_full | Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space |
| title_fullStr | Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space |
| title_full_unstemmed | Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space |
| title_short | Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space |
| title_sort | regional data sets of high resolution 1 and 6 thinsp km irrigation estimates from space |
| url | https://essd.copernicus.org/articles/15/1555/2023/essd-15-1555-2023.pdf |
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