Abstract
Percent tree cover maps derived from Landsat imagery provide a useful data source for monitoring changes in tree cover over time. Urban trees are a special group of trees outside forests (TOFs) and occur often as solitary trees, in roadside alleys and in small groups, exhibiting a wide range of crown shapes. Framed by house walls and with impervious surfaces as background and in the immediate neighborhood, they are difficult to assess from Landsat imagery with a 30 m pixel size. In fact, global maps based on Landsat partly failed to detect a considerable portion of urban trees. This study presents a neural network approach applied to the urban trees in the metropolitan area of Bengaluru, India, resulting in a new map of estimated tree cover (MAE = 13.04%); this approach has the potential to also detect smaller trees within cities. Our model was trained with ground truth data from WorldView-3 very high resolution imagery, which allows to assess tree cover per pixel from 0% to 100%. The results of this study may be used to improve the accuracy of Landsat-based time series of tree cover in urban environments.
Funder
Deutsche Forschungsgemeinschaft
Reference31 articles.
1. Global Decline in Large Old Trees
2. Large trees are keystone structures in urban parks
3. Not all African land is being degraded: A recent survey of trees on farms in Kenya reveals rapidly increasing forest resources;Holmgren;Ambio,1994
4. On large area inventory and assessment of trees outside forests;Kleinn;Unasylva,2000
5. Wood-pastures of Europe: Geographic coverage, social–ecological values, conservation management, and policy implications
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