This project aims to calculate the Photovoltaic potential of Providence, RI using Image Segmentation via a U-Net based model. This is an attempt to re-implement the paper Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China by Z. Huang et al, with a specific focus on Providence RI.
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Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China by Z. Huang et al.
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Semantic Segmentation of GEE High Resolution Imagery by Mort Canty
code-try-1: Contains some U-Net code from our first attempt at implementing this paper.utilites: Some utility code we built to pre-process and tile datasegmentation_notebook.ipynb: Our final logic/model in the form of a Colab notebook. This can also be found in its latest format here. This borrows heavily from Mort Canty's segmentation algorithm, as listed above.