David Sivyer, City of Milwaukee Forestry Division, firstname.lastname@example.org
Ian Brown, City of Milwaukee Forestry Division, Ian.Brown@milwaukee.gov (Presenter)
Communities threatened by Emerald Ash Borer are aggressively pursuing best practices for early rapid detection and management including improved reconnaissance tools (geospatially accurate forest risk maps) and new suppression strategies. Emergent research and frontline intelligence is desperately needed by coordinating federal, state and local officials working to revise management strategies for EAB. This presentation demonstrates the use of advanced geospatial technology, including high resolution remote sensed Hyperspectral imagery and LIDAR data, in conjunction with GIS analytical applications, to develop new tools needed for improved species mapping, risk assessment, forest health monitoring, rapid early detection, and management of EAB. High-resolution remote sensed Hyperspectral Imagery provides the foundation for new best practices for improved forest pest management. The ability to overlay an orthorectified ash classification map with 85% or greater accuracy onto an existing GIS parcel map represents a powerful new application for invasive species detection and response planning. This technology will permit coordinating federal, state and local personnel to efficiently target property owners with high ash concentrations for EAB inspections, monitoring, control, and dissemination of outreach materials.