DetecTree: Tree detection from aerial imagery in Python

Abstract

The aim of DetecTree is therefore to provide an open source library that performs a binary classification of tree/non-tree pixels from aerial imagery. The target audience is researchers and practitioners in GIS that are interested in two-dimensional aspects of trees, such as their proportional abundance and spatial distribution throughout a region of study. These measurements can be used to assess important aspects of urban planning such as the provision of urban ecosystem services. The approach is of special relevance when LIDAR data is not available or it is too costly in monetary or computational terms.