tree-shade-mapper

================= Tree Shade Mapper

.. image:: https://img.shields.io/pypi/v/tree-shade-mapper.svg :target: https://pypi.python.org/pypi/tree-shade-mapper :alt: PyPI Version

.. image:: https://colab.research.google.com/assets/colab-badge.svg :target: https://colab.research.google.com/drive/1fUcqN6aSLGZnzzahIZiy_AkigFn5gY2e?usp=sharing :alt: Open In Colab

Python package to calculate the shading effect of tree canopies from panoramic imagery

• Free software: CC-BY-SA-4.0
• Documentation: https://tree_shade_mapper.readthedocs.io.

Features

• TODO

Citation

Please cite the paper_ if you use Tree Shade Mapper in a scientific publication:

.. _paper: https://doi.org/10.1016/j.buildenv.2024.112071

.. code-block:: bibtex

@article{2024_bae_svf, author = {Fujiwara, Kunihiko and Ito, Koichi and Ignatius, Marcel and Biljecki, Filip}, doi = {10.1016/j.buildenv.2024.112071}, journal = {Building and Environment}, pages = {112071}, title = {A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies}, volume = {266}, year = {2024} }

.. .. code-block:: bibtex

.. @article{ito2024zensvi, .. title={ZenSVI: One-Stop Python Package for Integrated Analysis of Street View Imagery}, .. author={Ito, Koichi, XXX, XXX, XXX, ...}, .. journal={XXX}, .. volume={XXX}, .. pages={XXX}, .. year={2024} .. }

Credits

This package uses ZenSVI for semantic segmentation. This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _ZenSVI: https://github.com/koito19960406/ZenSVI .. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage