Snow accumulation and snowpack development are sensitive to climate and physical processes, including temperature, precipitation, elevation, slope, aspect, land cover, and wind and gravity-driven redistribution. Consequently, snowpack and the timing of snowmelt are spatially heterogeneous. Given the importance of spring snowpack magnitude for water supply forecasting and water management decision making, an operational snow monitoring network is managed and maintained by the Government of Alberta (GoA). This snow monitoring network consists of automated continuous and manual monthly surveys which provide quantitative temporal and spatial information about the evolution of snowpack development. Measurements of snow water equivalent (SWE) are used to develop watershed-scale water supply outlooks; therefore, it is important to understand how well point measurements of SWE represent local to regional snowpack conditions. This study is focused on evaluating the performance of the snow monitoring network by assessing the representativeness of snow monitoring stations in the plains environment of central and northern Alberta. The 2020 Land Cover of Canada data and snow surveyor expertise are used to classify snow surveys by land cover type. March and April SWE data in the Hay, Peace, Athabasca, North Saskatchewan, Beaver, Battle, and Red Deer River basins are compared among land cover classes. Additionally, land cover composition of snow surveys are compared with the proportion of land cover area for each watershed to determine whether land cover types are over- or underrepresented by snow surveys. Results are valuable for the continuous improvement of the snow monitoring network.