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Primary PresenterSorted By Primary Presenter In Ascending OrderPrimary Presenter Company / AgencySecondary PresenterPresentation TitlePresentation AbstractPresentation Skill Level
Anthony PuzzoEsri Valuable Trends for GIS in GovernmentIf you are looking for a session to help you make sense of  and implement the new trends and capabilities introduced from Esri in 2020, this session is for you. Learn what you can pay attention to now and what you can prepare your colleagues and management for the future. Join us to get a digest of this year's themes so you can focus on what matters most. - Highlights of some recent success stories - Understand the quick wins you can use in your work today - Cliff notes of recent product updates Geek
Bill VanSickleSt. Johns River Water Management District Update on UAV ActivitiesThis presentation will be an update on what we're doing with our UAV program, with the intention to hit the following highlights: 1. 3D Levee inspection project using surveyed Ground Control Points (GCPs) to increase global accuracy of the project. 2. Handy workaround when Survey is unavailable: using LiDAR data to create "virtual GCPs" to model Florida Scrub-Jay habitat. 2a. Successful remote imagery processing (via cellphone modem, from 150 miles away) due to COVID-19. 3. Lessons learned re. using spectral signature to discern wetlands species with multispectral imagery (hint: still not there yet). 4. Some considerations for starting your own UAV program.Guru
Christy CrandallCenter for Spatial Ecological Restoration, School of the Environment, Florida A&M University and USDA Forest Service A new method for idenifying and prioritizing hydrologic restoration and increasing water yield This study introduces a new method to identify and prioritize areas for hydrologic restoration based on increasing potential freshwater availability in forests of the Apalachicola Region, Florida, an area where pine forests covers over 18 percent of the land area. Maximizing water yield increases through basal area reduction guides hydrologic restoration planning. Increased water yields results in increased freshwater availability and improved forest ecological conditions and services. The method uses existing published most probable land-cover and basal area datasets to estimate potential water yield increases for 2 levels of pine basal-area reduction. For this study water yields are a function of Leaf Area Index (derived from a basal area), depth to shallow groundwater, and the aridity index (the ratio of potential evapotranspriration to mean annual precipitation). Potential water yield scenarios were calculated using current, less than or equal to 18 sq m/ha, and less than or equal to 7 sq m/ha evergreen basal area configurations—7 to 18 sq m/ha represent an optimal range in basal areas for maintaining Southern Open Pine forest ecological integrity and priority wildlife habitat. Estimated water yields for all scenarios ranged from less than -1500 cm/yr (high evapotranispiration--greater than annual precipitation, due to deep groundwater and/or dense vegetation) to more than 335 cm/yr (sparsely vegetated and/or shallow depths to groundwater). Water-yield gains for each basal area scenario, were calculated by taking the difference between: 1) current to less than or equal to 18 sq m/ha, 2) ,18 to 7 sq m/ha, and 3) current to less than or equal to 7 sq m/ha. Unsurprisingly, water-yield gains were highest for scenario 3); ranging from 0.0 to 52.4 cm/yr. The mean water-yield gain are 2.7 cm/yr for scenario 1) 7.9 cm/yr for scenario 3), and 4.8 cm/yr for scenario 2). Water-yield gains, summed over the regional study, by HUC12 watershed and ANF forest compartment, provided further clarity and insight for identifying and prioritizing pine areas where forest thinning and clearing maximize increased water-yield gains per resource investment. In our demonstration area, the highest potential yielding basins under basal area reduction scenarios include the Brothers and Lower Wascissa Rivers, Kennedy, Little Owl, Juniper Cove, and Big Gully Creeks, and the East River-Apalachicola River along the Western edge of Tate’s Hell State and Apalachicola National Forests.Within these HUC12 basins, high-yielding forest compartments, and Hot-Spot cluster analysis reveal individual compartments and forest stands that provide the greatest water-yield increases per basal area reduction. Confidence intervals and error estimates for water-yields will be generated in a follow-up study. This study provides a repeatable, scalable, scientifically based method for identifying and prioritizing areas for hydrologic restoration and increasing water-yields in the Apalachicola Region, Florida. The method is valid throughout the Southern Pine Region of the Northern Gulf Coast. Results from this project are intended for use by forest managers to improve ecological and hydrologic conditions of the forest and region and to provide maximum restoration benefits to critical areas. Improved ecological and hydrologic conditions will improve regional economic conditions, ecosystem services, resilience, and sustainability for the future. As new higher resolutions datasets become available and better relationships between forest metrics, evapotranspiration, using satellite imagery, and higher resolution datasets refine relationships between forest metrics and water yields.Geek
Deborah StoneUniversity of FloridaBecca WinstonSPATIAL INVASIVE INFESTATION AND PRIOIRTY ANALYSIS (SIIPA) TOOL IN EDDMAPSInvasive plants in Southeastern forestlands can greatly interfere with forest health, conservation and management goals. Invasive plants compete with and overwhelm native plant populations which can affect timber productivity, hydrology, wildlife, and prescribed burn plans on a forest. Treatment plans for invasive plants must be prioritized and strictly maintained for both short and long-term strategies. Prioritizing invasive plant treatments for private and government-owned lands is variable depending on data, tools and staffing. Developing a web-based decision support tool would help establish a systematic method on ranking invasive plant populations for treatment according to a land manager’s goals. The Spatial Invasive Infestation and Priority Analysis (SIIPA) model was based off the prioritization system found in ‘The Nature Conservancy’s (TNC) Draft Weed Management Plan’, which uses four characteristics (Habitat Quality, Available Control Methods, Impacts of the species, and Extent). The SIIPA model was designed to apply a customized prioritization framework to all known invasives within an area of interest, allowing the manager to prioritize not just different species, but individual populations within a species and across different species. The original model works with ESRI’s ArcGIS software, but has been adapted to work in a web map application to increase availability to a wider audience. The Spatial Invasive Infestation and Priority Analysis (SIIPA) tool’s web map version is designed to use data from the Early Detection Distribution and Mapping System (EDDMapS) and apply a prioritization framework to the data, with the goal of assisting property owners, land managers and project managers with designing a treatment plan for their invasive plant populations. The web map version uses the main four characteristics but still allows for customization in how those characteristics are prioritized. The SIIPA web map version will hopefully provide land managers with an adaptable, easy-to-utilize decision support tool for making critical prioritization choices. Lab
Deidra HunterThe University of West Florida Amber BloechleMapping Historic Cemeteries in Downtown PensacolaThe University of West Florida GeoData Center was contracted by the UWF Historic Trust through the UWF Archaeology Institute to map and assess gravesite conditions at the historic A.M.E. Zion and Magnolia Cemeteries using GPS and Collector for ArcGIS.Geek
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