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docs: updated README badges [ci-skip]
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martibosch committed May 22, 2023
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[![PyPI version fury.io](https://badge.fury.io/py/urban-footprinter.svg)](https://pypi.python.org/pypi/urban-footprinter/)
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# Urban footprinter
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| :----------------------------------------: | :-------------------------------------------------------------: | :--------------------------------------------------: |
| ![LULC](notebooks/figures/zurich-lulc.png) | ![Convolution result](notebooks/figures/zurich-conv-result.png) | ![Urban extent](notebooks/figures/zurich-extent.png) |

The approach is built upon the methods used in the [Atlas of Urban Expansion](http://atlasofurbanexpansion.org/). The main idea is that a pixel is considered part of the urban extent depending on the proportion of built-up pixels that surround it. See the [notebook overview](https://github.com/martibosch/urban-footprinter/tree/master/notebooks/overview.ipynb) or [this blog post](https://martibosch.github.io/urban-footprinter/) for a more detailed description of the procedure.
The approach is built upon the methods used in the [Atlas of Urban Expansion](http://atlasofurbanexpansion.org/). The main idea is that a pixel is considered part of the urban extent depending on the proportion of built-up pixels that surround it. See the [notebook overview](https://github.com/martibosch/urban-footprinter/tree/main/notebooks/overview.ipynb) or [this blog post](https://martibosch.github.io/urban-footprinter/) for a more detailed description of the procedure.

**Citation**: Bosch M. 2020. "Urban footprinter: a convolution-based approach to detect urban extents from raster data". Available from [https://github.com/martibosch/urban-footprinter](https://github.com/martibosch/urban-footprinter). Accessed: DD Month YYYY.

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