Relative water deficit (Khongor, Mongolia - Seasonal - 15m)
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✦ Suggested by OrionAIThe map represents the water flux per pixel computed as precipitation minus ETa over MOFALI center pivots in Khongor, Mongolia for the Kharif season (July to October) 2019. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) Resource Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) **Data lineage:** Seasonal Precipitation minus seasonal ETa. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
Actual EvapoTranspiration over MOFALI center pivots study area in the Khongor, Mongolia, for the Kharif season (July to October) 2019. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: mm/season **Contact points:** Metadata Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) Resource Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) **Data lineage:** Seasonal data obtained by adding all the monthly ETa maps from July to October 2019. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
The Normalized Difference Vegetation Index (NDVI) is computed by applying the ration between red and NIR spectral bands and maximum aggregated over MOFALI center pivots in Khongor, Mongolia for the Kharif season (July to October) 2019. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: n.a. **Contact points:** Metadata Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) Resource Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) **Data lineage:** Seasonal data obtained by taking maximum value per pixel of all the monthly NDVI maps from July to December. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
The Biomass Water Productivity (WPb) is computed by dividing Biomass by ETa and aggregated over MOFALI center pivots in Khongor, Mongolia for the Kharif season (July to October) 2019. **Data publication:** 2020-01-01 **Supplemental Information:** Unit: Kg/m3 **Contact points:** Metadata Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) Resource Contact: [Sajid Pareeth](mailto:S.Pareeth@un-ihe.org) **Data lineage:** Seasonal data obtained by adding all the monthly AGBP maps from July to October 2019 **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
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
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
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