As the changing climate expands the extent of arid and semi-arid lands, the number of, severity of, and health effects associated with dust events are likely to increase. However, regulatory measurements capable of capturing dust (PM₁₀, particulate matter smaller than 10 µm in diameter) are sparse, sparser than measurements of PM_2.5 (PM smaller than 2.5 µm in diameter). Although low-cost sensors could supplement regulatory monitors, as numerous studies have shown for PM_2.5 concentrations, most of these sensors are not effective at measuring PM₁₀ despite claims by sensor manufacturers. This study focuses on the Salt Lake Valley, adjacent to the Great Salt Lake, which recently reached historic lows exposing 1865 km² of dry lake bed. It evaluated the field performance of the Plantower PMS5003, a common low-cost PM sensor, and the Alphasense OPC-N3, a promising candidate for low-cost measurement of PM₁₀, against a federal equivalent method (FEM, beta attenuation) and research measurements (GRIMM aerosol spectrometer model 1.109) at three different locations. During a month-long field study that included five dust events in the Salt Lake Valley with PM₁₀ concentrations reaching 311 µg m⁻³, the OPC-N3 exhibited strong correlation with FEM PM₁₀ measurements (R² = 0.865, RMSE = 12.4 µg m⁻³) and GRIMM (R² = 0.937, RMSE = 17.7 µg m⁻³). The PMS exhibited poor to moderate correlations (R² < 0.49, RMSE = 33–45 µg m⁻³) with reference or research monitors and severely underestimated the PM₁₀ concentrations (slope < 0.099) for PM₁₀. We also evaluated a PM-ratio-based correction method to improve the estimated PM₁₀ concentration from PMSs. After applying this method, PMS PM₁₀ concentrations correlated reasonably well with FEM measurements (R² > 0.63) and GRIMM measurements (R² > 0.76), and the RMSE decreased to 15–25 µg m⁻³. Our results suggest that it may be possible to obtain better resolved spatial estimates of PM₁₀ concentration using a combination of PMSs (often publicly available in communities) and measurements of PM_2.5 and PM₁₀, such as those provided by FEMs, research-grade instrumentation, or the OPC-N3.