DetecTree documentation

DetecTree is a Pythonic library to classify tree/non-tree pixels from aerial imagery, following the methods of Yang et al. [2].

Reference Guide:

• Train/test split
• Pixel Classification
• Advanced Topics
• Utils

Command-line interface (CLI):

• Command-line interface (CLI)

Development:

• Change log
• Contributing

This documentation is intended as an API reference. A full example application of DetecTree to predict a tree canopy map for the Aussersihl district in Zurich is available as a Jupyter notebook. See the detectree-example repository for more information on the background and some example notebooks.

Usage

To install use pip:

$ pip install detectree

References

[1]

Aude Oliva and Antonio Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. International journal of computer vision, 42(3):145–175, 2001. doi:10.1023/A:1011139631724.

[2]

Lin Yang, Xiaqing Wu, Emil Praun, and Xiaoxu Ma. Tree detection from aerial imagery. In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 131–137. 2009. doi:10.1145/1653771.1653792.