GIS streamlines data management and automates analytical workflows, reducing errors while promoting efficiency.
2022 Proceedings
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Align Ocean Community and Processes
, Research Operations Specialist, Cardinal Point Captains, Inc
, Student, Citizen Science GIS
, Student, Citizen Science GIS
, Associate Professor, Graduate Director and Principal Investigator of a NSF REU & RET Site in Orlando and Belize, Citizen Science GIS
, University of Central Florida - Citizen Science GIS
, President and CTO, Kamilo, Inc.
, Student, Citizen Science GIS
Session Type: User Presentations
Session Level: All Attendees
Presentation 1 Title: Community-Based Work: Flooding and Disaster Management in Hopkins, Belize
Presentation 1 Speaker 1: Cam Zhen
Presentation 1 Speaker 2: Micah Ortiz
Presentation 1 Speaker 3: Laurel Sparks
Presentation 1 Speaker 4: Yasmin Aden
Presentation 1 Speaker 5: Timothy Hawthorne
Presentation 1 Abstract:
Citizen Science GIS Research Experiences for Undergraduates and Teachers team worked in partnership with the local community, the Hopkins Village Council, the University of Belize, and the University of Central Florida to help understand the impact of flooding on building vulnerability and community perceptions of flooding in Hopkins Village, Belize. This community-based work, funded by the National Science Foundation (Award #1950227) included collecting drone imagery and elevation data, surveying 1,500 structures, collecting data on the location and condition of culverts and roads and interviewing community members within the village on their perceptions of flooding and emergency response. The research findings revealed continuity between the geospatial analysis of flood risk and community perceptions of flooding hotspots and vulnerable infrastructure in the village. This mixed-methods work helped to facilitate more inclusive and viable flood mitigation and disaster preparedness strategies.
Presentation 2 Title: Climate Action & Ocean Plastic Prevention with Digital Twins
Presentation 2 Speaker 1: William Robberson
Presentation 2 Abstract:
Climate action and ocean plastic pollution are central components of business and policy conversations globally, and with the advance of climate change, GIS methods are leading the way in the analysis and understanding of at-risk areas. Yet with all the focus directed towards climate change modeling and resilience, lest we ignore how the ‘Science of Where’ is being used to measure and better manage our use of natural resources to prevent pollution and to slow and turn global warming around. This talk will demonstrate how digital twins of connected physical events are used to track and verify the profound environmental upsides of plastics recycling efforts as well as the way climate action benefits multiply when recycling rates are improved.
Presentation 3 Title: MagTool: A Python-Based System for Processing Magnetic Survey Data in ArcGIS Pro
Presentation 3 Speaker 1: John Bright
Presentation 3 Abstract:
Processing, visualization, and interpretation of marine magnetic survey data consistently challenges geophysical surveyors. A full-cycle magnetic survey starts with data acquisition via an integrated network or proprietary sensors and software programs. The format of data outputs can vary greatly, which proliferates variability across data processing workflows, visualization techniques, and final products. Typically, surveyors rely on numerous software programs and file formats to accomplish this task. MagTool offers a streamlined solution to bring marine magnetic survey data to a final result entirely within an ArcGIS environment. This system consists of a Python toolbox operated through ArcGIS Pro. It integrates functions from numerous Python libraries to execute an iterative and scalable data processing workflow. Outputs are quickly converted to feature classes in ArcGIS Pro and thereafter visualized through scripted geoprocessing tools. This system facilitates rapid data processing to support better field QA/QC of data and produces spatially derived descriptive statistics to quantify magnetic survey coverage after survey completion.
