Description

This dataset was collected under the auspices of the St. Mary’s – Milk River Consumptive Use Study to provide latent heat and surface temperature ground truth data to test remote sensing products that estimate evapotranspiration, and in turn, consumptive use from irrigated fields (e.g., Senay et al., 2019). These remote sensing techniques are valuable because they provide spatially distributed data of recent evapotranspiration losses in between watering that can inform water manager decision-making during the active irrigation season. The data can also be used to assess the accuracy of current conventional operational methods (Bennett et al., 2014) to determine net irrigation requirements (i.e., crop coefficients and estimates of potential evapotranspiration) in irrigable areas of the Canadian Prairies.

Resources

Name	Format	Description	Link
View ECCC Data Mart (English)	HTML		https://data-donnees.az.ec.gc.ca/data/water/scientificknowledge/Milk-River-Basin-Micrometeorology-Data-2022-to-2024%20?lang=en
Voir le Dépôt de données d'ECCC (Français)	HTML		https://data-donnees.az.ec.gc.ca/data/water/scientificknowledge/Milk-River-Basin-Micrometeorology-Data-2022-to-2024%20?lang=fr
Digital Object Identifier (DOI)	XML		https://doi.org/10.18164/12e5a16d-0b1d-4d04-9a58-0f04673ef3e2

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