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Project Summary
Project Summary
Students explore the impact of urban city structures on weather and climate. The hypothesis of their work was the lack of greenery in cities led to increased heat absorption and surface temperatures.
Specifically, we focused on the region surrounding Cleveland, their hometown and their challenge partner's business location.
Random Sampling Methods
Random Sampling Methods
Using a grid system, students randomly selected particular blocks within cities and neighborhoods. Blocks were uniform in size and selected through random number generation.
Example of a neighborhood gridded off for analysis.
Color Breakdown
Color Breakdown
Students leveraged software to breakdown the satellite imagery into different color categories. Using this color analysis, they were able to gather information on the greenery in each block of the grid.
This was also an awesome time to discuss:
How to automate this process with code.
What light is and how absorption / reflection of light work.
The physical properties of objects that impact reflection and absorption.
Example of block being assessed for color ratios.
Analysis of Results
Analysis of Results
Students then leveraged NOAA data on surface temperatures in each region throughout the year to look for a correlation.
Students presented their findings through both a 15 minute talk and formal, scientific paper writeup, noting areas for future research and ideas for improving their methodology in the future.
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