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Climatebase Cohort 6 Fellowship

Summary

One of the main takeaways I had working on the project to analyze urban heat data was the difficulty in obtaining high-quality heat data. Specifically, satellite data is widely available and generally cheaper to use but has a relatively coarse resolution and shows only the surface temperature, not the air temperature. If a city is able to have a study at the ground conducted, that is often done just once and then modeling is used to extrapolate insights from that data. While it is much higher-resolution and more representative of what people experience at the ground, the narrow timescale and cost (labor and equipment) makes it prohibitive for many other cities. Therefore, there is a gap in low-cost and widely available solutions to collect high-quality small-scale data, not just in urban heat but potentially in many other applications.