Data Fusion Approaches to Tree Canopy Change Detection
Cities across the world are focusing on increasing their tree canopy to address a range of environmental and social issues. From ameliorating the effects of the urban heat island to reducing stormwater runoff to making cities more desirable places to live, trees are seen as a key part of a city's infrastructure. An important metric for cities is tracking the change in their tree canopy over time so that they can evaluate the impact of their policies and investments. Tracking these changes are especially challenging given the spatial and temporal inconsistencies in the available remotely sensed data.
In this webinar, Jarlath O'Neil-Dunne, from the University of Vermont, will discuss the unique role that eCognition is playing in mapping tree canopy change. The webinar will have a specific focus on eCognition's ability to seamlessly integrate data from multiple sources, maximizing their strengths and minimizing their weaknesses. Topics will include data fusion, AI vs expert systems, handling spatial offset, and morphology routines.
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