Kazakhstan GIS data

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas identified by the ADB project in Bukhar district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly RWD maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N1 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Above Ground Biomass Production (AGBP) is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The AGBP is computed for the irrigated command areas N1 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: kg/ha **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Gross Biomass Water Productivity (GBWP) dataset is estimated from seasonal AGBP and ETa derived from Landsat 8 OLI and meteo data, averaged over main growing season (May to October) 2019. The GBWP is computed for the irrigated command areas N1 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained from AGBP and ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas N1 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly RWD maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N2 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan Download the data from Google Cloud Storage

The Above Ground Biomass Production (AGBP) is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The AGBP is computed for the irrigated command areas N2 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: kg/ha **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Gross Biomass Water Productivity (GBWP) dataset is estimated from seasonal AGBP and ETa derived from Landsat 8 OLI and meteo data, averaged over main growing season (May to October) 2019. The GBWP is computed for the irrigated command areas N2 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained from AGBP and ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas N2 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly RWD maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas N3 identified by the ADB project in Nura district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Above Ground Biomass Production (AGBP) is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The AGBP is computed for the irrigated command areas N3 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: kg/ha **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Gross Biomass Water Productivity (GBWP) dataset is estimated from seasonal AGBP and ETa derived from Landsat 8 OLI and meteo data, averaged over main growing season (May to October) 2019. The GBWP is computed for the irrigated command areas N3 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained from AGBP and ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas N3 identified by the ADB project in Nura district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas identified by the ADB project in Osakarov district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Above Ground Biomass Production (AGBP) is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The AGBP is computed for the irrigated command areas identified by the ADB project in Osakarov district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: kg/ha **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Gross Biomass Water Productivity (GBWP) dataset is estimated from seasonal AGBP and ETa derived from Landsat 8 OLI and meteo data, averaged over main growing season (May to October) 2019. The GBWP is computed for the irrigated command areas identified by the ADB project in Osakarov district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained from AGBP and ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas identified by the ADB project in Osakarov district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly RWD maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Actual Evapotranspiration is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The Actual Evapotranspiration is computed for the irrigated command areas identified by the ADB project in Zhanaarka district, in the Karaghandy province of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Above Ground Biomass Production (AGBP) is estimated from remote sensing energy balance model (SEBAL) on Landsat 8 OLI and meteo data, aggregated over main growing season (May to October) 2019. The AGBP is computed for the irrigated command areas identified by the ADB project in Zhanaarka district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: kg/ha **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly AGBP maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Gross Biomass Water Productivity (GBWP) dataset is estimated from seasonal AGBP and ETa derived from Landsat 8 OLI and meteo data, averaged over main growing season (May to October) 2019. The GBWP is computed for the irrigated command areas identified by the ADB project in Zhanaarka district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained from AGBP and ETa maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

The Relative Water Deficit dataset represents the water deficit per pixel computed as 1 minus the ratio of ETa over ETx (max crop ET) over the main growing season (May to October) 2019. The RWD is computed for the irrigated command areas identified by the ADB project in Zhanaarka district, in the Karaghandy region of Kazakhstan. **Data publication:** 2020-01-01 **Supplemental Information:** Unitless (0-1, index) **Contact points:** Metadata Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) Resource Contact: [Karthi Matheswaran](mailto:k.matheswaran@cgiar.org) **Data lineage:** The seasonal data is obtained by adding all the monthly RWD maps from May to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage IWMI_Final_Report_Kazakhtsan.pdf Download: Water Productivity Spatial Datasets - Kazakhstan

Precipitation minus actual evapotranspiration (P-ET) calculated over the Nura-Sarysu Water Economic basin with complete drainage area of the Nura and Sarysu rivers and Lake Tengiz with buffer. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: -9999 Unit: mm/month **Contact points:** Metadata Contact: [Claire Michailovsky](mailto:c.michailovsky@un-ihe.org) Resource Contact: [Claire Michailovsky](mailto:c.michailovsky@un-ihe.org) **Data lineage:** The monthly data is obtained by clipping and resampling (nearest neighbour) the original dataset. See Senay et al. (2013), doi:10.1111/jawr.12057 for more information. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

geoBoundaries ADM1 boundaries for Kazakhstan: 16 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0