Tar Print 2.0

Tar Print simplifies the process of calculating pervious and impervious surface percentages by combining Apple Maps with advanced machine learning and innovative computer vision algorithms. Users can effortlessly analyze surface types without the need to train any classifiers.

By specifying a location and settings, and clicking the camera button, users can determine impervious surface percentages efficiently.

Enhancing accessibility to a surface type analyzer for students and researchers promotes citizen science and environmental stewardship initiatives, aiding in the mitigation of detrimental effects of urban development on local water quality and stream ecology.

• This tool is designed for in-the-field research, environmental stewardship projects, urban development, stormwater management, or any other endeavor where knowledge of surface percentage types are beneficial. We ensure that no location data is collected or stored while using our services.
• We are currently evaluating Tar Print's accuracy against established remote sensing tools like ArcGIS. The results of this assessment will be shared publicly.