2022 Proceedings

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9 sessions
  • User Presentations
    All Attendees
    In-Person
    Recorded
    Community-Based Work: Flooding and Disaster Management in Hopkins, Belize
    Cam Zhen
    Micah Ortiz
    Laurel Sparks
    Yasmin Aden
    Timothy Hawthorne
    <p>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.</p>
    Climate Action & Ocean Plastic Prevention with Digital Twins
    William Robberson
    <p>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.</p>
    MagTool: A Python-Based System for Processing Magnetic Survey Data in ArcGIS Pro
    John Bright
    <p>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.</p>
    Yes
    Thursday, Nov 10
    4:00 p.m. Thursday, Nov 10
    GIS streamlines data management and automates analytical workflows, reducing errors while promoting efficiency.
    Session Type: User Presentations
    Session Level: All Attendees

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  • User Presentations
    All Attendees
    In-Person
    Recorded
    NASA POWER Enhances Decision-Making for Renewable Energy Projects Worldwide
    Madison Broddle
    <p>This presentation will provide information about POWER’s suite of tools that enhance decision-making for renewable energy and sustainable infrastructure projects worldwide. To improve decisions in high-value sectors at any location in the world, the NASA Prediction Of Worldwide Energy Resources (POWER) provides freely available, easily accessible, customized, and trusted solar and meteorological data for both current and future climates. POWER provides over 300 parameters, derived from NASA Earth Observing (EO) data, that support community research in three focus areas: 1) renewable energy development, 2) building energy efficiency, and 3) agroclimatology applications. POWER helps communities to be resilient amid observed climate variability through the easy access of data products via several access methods and tools. This presentation will inform users about POWER’s ArcGIS Image Services, Data Access Viewer enhanced (created via Esri's Calcite Design System), and Application Programming Interface. Additionally, POWER’s entire data product catalog available through Amazon Web Services (AWS) Open Data Registry (ODR) via a free and publicly accessible Simple Storage Service (S3).</p>
    High Tide Flooding Outlooks Get a Geospatial Facelift
    Analise Keeney
    High tide flooding is now common due to climate change and sea level rise. Damaging floods that only historically occurred during moderate or major storms now happen more regularly, especially during full-moon cycles or minor storm events. To mitigate the impacts of flooding, NOAA’s Center for Operational Oceanographic Products and Services produces the annual State of High Tide Flooding and Outlook. Once a PDF, the product is now an interactive geospatial dashboard of projected high tide flooding days, regional flood statistics, and animated data visualizations. Enhancements rely on Esri infrastructure. Plots on a page come to life as interactive maps to view expected high tide flooding days out to the year 2050. With a click, flooding thresholds can be applied to visualize expected levels of inundation first hand. Data points become attributes for precise prediction of flooding based on regional sea level rise scenarios and years of observations. The combination of Python and GIS allow these products to be easily updated and remain evergreen. The seamless integration of these critical layers forms a useful tool for understanding climate impacts to become a climate-ready Nation.
    Air Quality Dashboard in Support of Public Health
    Jennifer Boehnert
    <p>EPA health studies have shown a significant association between exposure to ambient air pollution and health risks. Health effects may include cardiovascular and respiratory effects. Although there are many toxins that have adverse impacts on health, pollutants, the strongest evidence for public health concern include particulate matter (PM), ozone (O3), and nitrogen dioxide (NO2). Long-term (2005-2018) high-resolution (12km x 12km) air quality products relevant for societal applications, were created at the National Center for Atmospheric Research (NCAR) at the daily scale for the continental US. This volume of information can be challenging to work with for Public Health professionals. Using Esri's Dashboards, we created an air quality dashboard that maps and communicates the historical modeled air quality data aggregated at the state and county level for each year. Maps of air quality variables can be visualized along with statistics about air quality exceedances for the selected county. Workflows to process the netCDF model output to different spatial and temporal resolutions will be discussed, as well as considerations taken while developing the dashboard.</p>
    Yes
    Wednesday, Nov 09
    3:00 p.m. Wednesday, Nov 09
    Enhance decision-making for renewable energy, sustainable infrastructure, and resilient communities amid observed climate variability through easy access to energy, flooding, and air-quality data products, tools, and valuable tools to become climate-ready.
    Session Type: User Presentations
    Session Level: All Attendees

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  • User Presentations
    All Attendees
    In-Person
    Engaging Citizen Mappers to Visualize the Global Ocean Plastic Crisis
    Carl Nettleton
    The ocean plastic crisis has the world’s attention. Most ocean plastic is on coastlines. Rivers are the point of contamination for much plastic debris. Industries produce products via supply chains and strive to stop impurities prior to the point of contamination. Solving the ocean plastic crisis requires reverse engineering the supply chain model. First, by removing plastic from rivers before it reaches the sea. Second, working upstream through the plastic debris supply chain and stopping it before it reaches the rivers. Plastic debris is a geographically traceable problem. Using ArcGIS Online, plastic-fouled coastlines can be geolocated and sources of contamination determined, allowing solutions to be implemented. Using Survey123 allows citizen scientists, including Esri users, to geolocate and share data and images about plastic-fouled coastlines, providing global context, something not possible without GIS. Survey123 data feeds into ArcGIS Online and categorizes entries by source. Living Atlas layers of the world’s rivers and ocean currents allow the plastic debris supply chain to be imagined. A tracing tool visualizes how plastic might reach coastlines from distant rivers.
    Expanding the Use of PO.DAAC Datasets through StoryMaps
    Nicholas Tarpinian
    NASA houses petabytes of publicly accessible Earth science data. The issue arises when non-expert users have difficulty visualizing these datasets. Most of these datasets are stored in scientific data formats with the most notable being Network Common Data Form (NetCDF). How can one access these datasets and visualize them with ease? The mission of the Physical Oceanography Distributed Active Archive Center (PO.DAAC) is to showcase NASA’s ocean and climate data and make them universally accessible for the public to use. We utilized StoryMaps by showing step-by-step tutorials on how to use PO.DAAC datasets and how to visualize them in Esri’s ArcGIS Pro. ArcGIS Pro provided the tools and capabilities that can visualize these data formats. There are still difficulties that arise with NetCDF data that ArcGIS Pro was not able to visualize but utilizing Python scripts helped to overcome these difficulties. Two separate StoryMap use cases were created to showcase different uses of NASA PO.DAAC datasets. These use cases will provide non-experts the tools needed to explore a variety of PO.DAAC datasets.
    Integrating Geospatial Technology for Better Coastal Management
    Heather Vollmer
    <p>Collaboration is fundamental to coastal management, the ability to efficiently share data and effectively communicate assists project teams as well as clients by creating dynamic project management. This presentation will illustrate how we are coupling Esri's Survey123 technologies with other platforms in order to share progress and critical data from the field while decreasing the effort to relay this information during coastal construction projects.</p>
    Yes
    Wednesday, Nov 09
    3:00 p.m. Wednesday, Nov 09
    The growing community of users now has improved access to earth observations of our planet. GIS provides an effective way to discover, visualize, analyze, aggregate, and disseminate earth observations and interconnected workflows.
    Session Type: User Presentations
    Session Level: All Attendees

    Resources

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  • User Presentations
    All Attendees
    In-Person
    Recorded
    Integrating and Expanding Community with ArcGIS Hub
    Drew Stephens
    <p>The Gulf of Mexico Alliance (GOMA) is using ArcGIS Hub to share data and maps from a variety of public and private authoritative sources across the five U.S. Gulf states (Florida, Alabama, Mississippi, Louisiana, and Texas). The Gulf of Mexico Open Data Platform uses Hub to provide the tools needed to create a single point of entry for users to discover, explore, and access Gulf-wide data from a variety of sources. Now GOMA is extending collaboration with their partners across the Gulf by co-developing common schema and sharing them as Feature Layer Views in Open Data Groups. This presentation will discuss the technical methods used to overcome a variety of technical challenges, as well the significant efforts across multiple Communities of Practice to minimize tasking and update anomalies, while maximizing exposure and usefulness of data contributions with Hub.</p>
    Improving Coordinated Access to NOAA’s Benthic Data - Next Generation BioMapper
    Ken Buja
    <p>For many years researchers and resource managers working in the marine realm have faced challenges in obtaining and integrating data on important ecological resources and the benthic environment in general. This issue is a challenge not only within NOAA but also for regional and inter-agency partners. As such, the Great Lakes Restoration Initiative has provided funding for a data distribution mechanism modeled on the NOAA BioMapper to serve the region and potentially beyond the Great Lakes region in the future. In response, an inter-line office team has taken early steps to understand the data access challenges faced by the benthic data user and producer communities and develop solutions to improve coordinated access to NOAA benthic data through a next generation BioMapper project. This effort will align with NOAA data dissemination strategies and policies and will leverage commercial off-the-shelf software solutions. The goals are to advance access, discovery, and use of benthic habitat data for a wide range of applications, from conservation to marine planning and decision making. This effort supports NOAA’s mission and priorities like the America the Beautiful initiative.</p>
    Island Networks–Using ArcGIS to Achieve the UN’s Sustainable Development Goals
    Michael Omohundro
    <p>The Hawaiʻi Green Growth UN Local2030 Hub is a public-private partnership committed to advancing the United Nations’ 17 Sustainable Development Goals (SDG) through locally and culturally informed solutions. Utilizing ArcGIS technology, the Aloha+ Dashboard is the open data platform that measures progress on the six priority areas identified through the Aloha+ Challenge, and tracks Hawai‘i’s contribution towards all 17 UN SDGs for 2030 through stakeholder inclusively developed indicators and metrics. As one example, here, we present how ArcGIS and AGOL’s 3D modeling capabilities are used to develop indicators and metrics that aim to track impacts from sea level rise and increased riverine flooding on Hawaiʻi’s buildings, infrastructure, and economy. Through impact driven Indicators and metrics, the Dashboard meaningfully engages decision makers and can advance and inform Hawaii's resilience and adaptation strategies.</p>
    Yes
    Wednesday, Nov 09
    1:00 p.m. Wednesday, Nov 09
    See how communities and organizations come together with a single point of entry to collect, share, and access data using an end-to-end GIS-based solution that is powerful, scalable, and efficient.
    Session Type: User Presentations
    Session Level: All Attendees

    Resources

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  • User Presentations
    All Attendees
    In-Person
    GLOBathy: A Global Lakes Bathymetry Dataset Created Using GIS
    Matthew Casali
    <p>Physical modeling of waterbody dynamics relies heavily on accurate morphological and geophysical attributes, with bathymetry being of primary importance. Due to the limited availability of in-situ bathymetric data, some studies oversimplify these important characteristics. Starting with the global HydroLAKES lake boundary dataset, a team at the National Center for Atmospheric Research developed a global bathymetric dataset (GLOBathy) comprising over 1.4 million waterbodies. Utilizing ArcPy and Esri's Spatial Analyst functions, a Python-based workflow was developed to calculate bathymetry for each waterbody using the distance method established by Hollister and Milstead (2010). The geospatial approach incorporates the measurements of necessary geometries needed for calculating depth as a function of distance from the shoreline, resulting in estimated lake volume and depth/area relationship. Results were validated against over 1500 measurements. This updated bathymetric data is currently being extended to support other operational atmospheric models to replace single-value lake depths with more realistic and variable depth estimates.</p>
    Combination of Environmental and Ship Data in Esri to Support Decarbonization
    Brad Guay
    <p>With the advance of climate warming, environmental regulations are increasing to ensure the sustainability of marine vessel voyages. Therefore, accurate monitoring and forecasting of the ship’s carbon emissions is essential. To this aim, we developed a technique combining weather and oceanic data such as wind, wave height, and current direction and speed, together with vessels operational data to calculate the weather-induced resistance. This enables estimations of the fuel consumption required for a specified voyage and the resulting carbon emitted into the atmosphere. Using ArcGIS Developer Enterprise integrated with a cloud-based platform, decision-makers can visualize the combined weather and vessel data to obtain the representation of the emissions throughout a vessel’s voyage and identify possibilities for future carbon emission reduction with route optimization, deviation tracking, or trade route comparison. In addition to the advantages of monitoring and reducing the carbon emission of individual marine vessels in real-time, this approach, utilizing the Esri software, can enable calculations of past shipping carbon footprint and help to reduce future carbon emissions.</p>
    Yes
    Wednesday, Nov 09
    1:00 p.m. Wednesday, Nov 09
    With the advance of climate change, GIS methods are leading the way in collecting data, analyzing, and understanding at-risk areas. GIS answers help prepare damage, vulnerability, and sustainability assessments to understand and plan for hurricane hazard recovery and infrastructural resilience, reduce future carbon emissions for sustainable marine vessel voyages, and detect and monitor coastal eroding areas.
    Session Type: User Presentations
    Session Level: All Attendees

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  • User Presentations
    All Attendees
    In-Person
    Recorded
    Sea Level Variability Analysis for Naval Coastal Installations
    Monica Killoran
    <p>Extreme sea levels near the coast can cause severe risk to life and infrastructure while understanding and planning for these events remains a challenge. Sea level variability (SLV) is controlled by complex local and remote multiresolution forces that interact under the influence of climatic and non-climatic factors in the ocean and atmosphere. Magnitude and strength of connection between forcing allows for development of foundational environmental knowledge of processes driving SLV. This study developed a methodology that identifies distinct spatial patterns of SLV at small scale and depicts sea-level response to atmospheric teleconnection parents using normalized characterization process of SLV through technology resources and information already available. Verification of the methodology using San Diego Bay as proof-of-concept, revealed characterization processes that are unique to each location. Findings also suggest that an analysis of high-resolution altimetry contrasted with local measures allows for identification of distinct spatial patterns of water levels at coastal and deep-ocean regions with representation of SLV response to climatic-driven processes on a global scale.</p>
    Utilizing Real Time Weather Data for Situational Awareness
    Carlos Collins
    <p>One problem with trying to assess real time weather conditions is the spatial coverage of in-situ weather measurements. Amassing weather stations from public sources into one map (or layer) is a way to readily have an accurate view of conditions in the field. One important application is monitoring fire weather conditions in real time to keep track of the hot, dry and windy conditions that could lead to destructive and rapid fire growth. Monitoring the real time conditions in a dashboard, we can keep track of relative humidity, wind gust, and air temperature, measuring and mapping their daily extremes. In addition to keeping track of current extremes, we can also formulate warnings based on the prolonged duration of these conditions within ArcGIS, similar to how fire departments in California formulate red flag warnings. This is just one example of how real time weather can provide situational awareness to mitigate disaster risk and extent for safety and the environment.</p>
    Providing Valuable Climate Insights to Reduce Risk within the Insurance Industry
    Crystal Egger
    Kathryn Prociv
    <p>Our climate is changing rapidly and the impacts associated with our weather have never been greater. Two Esri StartUp companies have come together to apply their expertise and unique offerings to address these challenges through improved risk assessment within the insurance industries.   By utilizing Esri mapping tools, Monarch Weather & iMitig8 assist clients navigating weather extremes by adding critical value to problem solving on a national and global level. Business leaders can then access the data via cloud-based risk management workflow patterns for engineering analytics.   Monarch measures exposure to our changing climate by combining historical observations, calibrated model scenarios and bias-corrected forecast projections (eg. rainfall, wildfires, humidity, wind, temp, earthquakes, sea-level rise, and other threats) with data on a company’s assets and their surrounding environment to determine future risk. Underwriters are able to manage project risks with powerful efficiency. Insurers and Reinsurers save time and money for streamlined workflow, and important analytics are delivered to the stakeholders to help build strong client relationships.</p>
    Yes
    Thursday, Nov 10
    2:00 p.m. Thursday, Nov 10
    GIS provides a better way to understand the effects of climate changes such as sea level rise and extreme weather conditions for increased insights into situational awareness that help to mitigate disaster risk and extent for safety and the environment.
    Session Type: User Presentations
    Session Level: All Attendees

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