2022 ESA Annual Meeting (August 14 - 19)

INS 7-6 Probabilistic urban tree inventories with mixed-pixel imaging spectroscopy

3:30 PM-5:00 PM
520A
Jonathan P. Ocón, M.A. Geography, UCLA;E. Natasha Stavros, n/a,University of Colorado Boulder;Justin Robertson,Los Angeles County Department of Public Health;Steven Steinberg,Los Angeles County Information Services Department;Thomas Gillespie,UCLA Geography;
Los Angeles County manages at least 800,000 public trees, with inventory costs using traditional methods exceeding $5 million (Los Angeles County Department of Public Health). The ability to provide probablistic urban tree inventories using spaceborne imaging spectroscopy will optimize the planning and management of the County's urban forest without the need to comission costly airborne acquisitions. Spaceborne imaging spectroscopy data would also have an advantage over airborne acquisitions in monitoring seasonal changes using regular repeat observations, but there remains the issue of mixed-pixels in complex environments such as urban areas. There are a number of existing methods to unmix imaging spectroscopy data, however, due to coarse spatial resolution (> 30 m) of spaceborne missions and the complexity of urban environments, there is a need to develop a model to identify probabilistic species presence and condition within mixed-pixels.