Table of Contents
Data, Volume 4, Issue 4 (December 2019) – 20 articles
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Cover Story (view full-size image) Mapping urban trees with images at a very high spatial resolution [...] Read more. Mapping urban trees with images at a very high spatial resolution (<1 m) is a particularly relevant recent challenge due to the need to assess the ecosystem services they provide. Here, we present the tree cover map at 1 m spatial resolution of the Metropolitan Region of São Paulo, Brazil, the fourth largest urban agglomeration in the world. This dataset, based on aerial photographs taken in 2010, was produced using a deep learning method for image segmentation called U-net. The tree cover map showed an overall accuracy of 96.4% and an F1-score of 0.941. This dataset is a valuable input for the estimation of urban forest ecosystem services, and more broadly for urban studies or urban ecological modeling of the São Paulo Metropolitan Region. View this paper