DeepForest - Street Trees Dataset

This dataset is for Sup. 3 to reproduce the streets data. See Weinstein et al. 2020 "DeepForest: A Python package for RGB deep learning tree crown delineation". 

The Oregon Street Trees data came from the Oregon Parks and Recreation Department. The following data are attached. After receiving a large RGB tile from the Oregon Imagery Program, the image was cropped to form a small training (street_trees_train.tif) and test area (street_trees_test.tif). The train data was then hand-annotated in QGIS but manually reviewing visible trees in the imagery (train.shp). DeepForest was then used to cut the test tile into 400px tiles and predict individual tree crowns. These crowns were compared to field-collected stems available from the Portland Tree survey (https://gis-pdx.opendata.arcgis.com/datasets/street-trees). These trees were lightly cleaned by eye to remove obvious trees that were outdated (e.g. in the middle of buildings in the present-day imagery).