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A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning
We develop a method based on computer vision and a hierarchical multilevel model to derive an Urban Street Tree Vegetation Index which aims to quantify the amount of vegetation visible from the point of view of a pedestrian.
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