2025 WA GIS Conference

For over 10 years, the WA DNR Nearshore Habitat Program (NHP) has been researching methods to transplant and restore populations of eelgrass, Zostera marina, in South Puget Sound. At a series of small research meadows, eelgrass has been transplanted using different combinations of methods and donor sources and each summer NHP staff conduct surveys of the test plots to assess their performance. In 2019, uncrewed aircraft systems (UAS or “drones”) were added to the suite of tools deployed at the sites, which has enabled estimates of total eelgrass shoots to be calculated by combining in situ density observations and area delineations based on the aerial imagery. Then in 2024, DNR announced plans to break ground on a project to remove the fish passage barrier near Joemma Beach State Park – the site of the largest of our eelgrass research meadows – and restore Whiteman Cove to a free-flowing tidal estuary. In anticipation of the project, NHP decided to expand our efforts to include RTK-enabled (real-time kinematic) drone surveys over the entire tidal flat, which enable the production of high-resolution digital elevation models using structure-from-motion photogrammetry software. These models allow DNR to track channel formation and sediment deposition in the restored system, and to observe in real time if there are any impacts from the project on the eelgrass research meadow nearby. This talk will present lessons learned over five years of monitoring transplanted eelgrass populations with high resolution drone imagery, the initial results of comparing the RTK drone-based elevation models of the restored estuary, and finally how these products are being shared with the public using web products such as ArcGIS Experience Builder.

Kelp forests are critical nearshore habitats, and understanding their spatiotemporal distribution across Washington State is essential for effective stewardship and management. Current floating kelp maps in Washington consist of a patchwork of multiple datasets in various formats, including remotely sensed classified imagery from fixed-wing aerial and drone surveys, as well as lines and polygons from kayak- and boat-based surveys. This diversity makes comparison and spatiotemporal change analysis challenging at the statewide level. To address this, the Nearshore Habitat Program at the Washington State Department of Natural Resources developed a linear extent model for floating kelp distribution. This model summarizes annual kelp presence along 1-km coastal line segments using the best available and most up-to-date survey data. The linear extent model builds on legacy data structures to ensure compatibility with other marine vegetation geospatial datasets. It employs multiple ETL pipelines to synthesize a variety of data streams into a single, synoptic map of kelp forests in Washington State. This new dataset is already being utilized by marine vegetation researchers and managers. This presentation will cover the technical aspects of developing this statewide spatial dataset, including the use of Python scripting for data processing and automation, methods for harmonizing spatial data from disparate sources, and strategies for sharing geospatial datasets with users of varying technical expertise.

Come learn about the King County Watershed Mapping Toolbox and new countywide wetlands data. In 2023-2024, King County procured a new wetlands dataset derived from high resolution aerial imagery, LiDAR, land cover data, and local hydrology data. This new dataset is far higher resolution than the previous GIS data on wetlands in King County and will support enterprise-wide functions from Water and Land Resources to Permitting. As part of getting this data to those who can benefit from its use, King County Water and Land Resources, in partnership with the King County GIS Center, has built the Watershed Mapping Toolbox. The Toolbox, which is public facing, is built using Experience Builder. It leverages the full potential of ESRI’s low/no-code development platform, with significant use of Arcade scripting in the basemap to produce content rich and well-formatted pop-ups.

The Toolbox allows users to view wetlands, streams, likely wetland functions, beaver locations, ecological stressors, and high priority areas for conservation and restoration. It brings into the platform data from outside King County, such as WDNR Ecological Integrity Assessments, iNaturalist beaver sightings, USGS soil information, USFS riparian corridors, and more. Users can view wetland data from 1990, 1996, 2024, search for their project sites or property, and compare wetlands boundaries to aerial imagery dating back to the 1990s. A new and unique feature overlays historic General Land Office maps onto contemporary basemaps and imagery to compare historical conditions to contemporary land use. The Toolbox allows for importing GIS data, exporting PDFs, and using filtering and other tools to produce analytics. Overall, the Watershed Mapping Toolbox aims to be a platform for showcasing the variety of riparian GIS data available in King County, with the goal of breaking down access barriers to riparian data across the enterprise.

We present a newly-created environmental dataset for storing fire history information gathered from trees in the Spokane, Washington area. The data come from fire scars preserved on trees after they have been injured in fires of the past – collecting both the quantity and timing of these scars can give a wealth of information on past fire activity, in addition to the spatial patterns gathered from the tree locations. This dataset is designed to be an ongoing collection of fire history data, with contributions from students and community members. Not only is the dataset one of exceptionally high resolution, but it is also the only effort to create a complete inventory of all the fire-scarred trees in Riverside State Park, which is the largest state park in Washington State. These data will be used in teaching activities through GIS labs on things like interpolations and hot spot analyses, but also to record the geospatial nature of past fire activity for an area at a scale not yet pursued before. We propose a presentation where we introduce the idea of fire history and fire-scar data, explore the dataset as it exists now and discuss the student work involved in creating in, and showcase some potential future uses of the dataset as it grows in feature and attribute depth. Currently the dataset is housed on the Eastern Washington University AGOL content page, but the goal is to make it public and shareable via an interactive ESRI StoryMap.

I am currently serving a one-year internship for the Cultural Resources Division of the Washington Department of Fish and Wildlife. With no permanent GIS staff member in the division, my goal has been to establish data management and best practices for GIS data.

The Cultural Affairs Division monitors agency projects for possible impacts to archeologically significant areas and artifacts. When a project is first proposed, division archeologists determine the likelihood of disturbance to cultural sites and whether surveys have been performed, or a site survey is needed. Much of the data is Category 3 and needs to be handled securely. We work closely with tribal governments and Department of Archaeology and Historic Preservation. My job is to manage geographic data for these projects.

After coming on board, my first task was to find out where and how the geographic data was being stored. I found that the data was spread out over several folders on servers (in various formats), and as zipped shapefiles attached to project tickets. There was no central, searchable location for the data.

To begin the process of organizing the data, I turned to ArcGIS Online for its versatility. I was able quickly add geodata to create a master map of Cultural Affairs projects accessible to team members.

Now I am taking data management for the division to the next level by creating a geodatabase, with customized fields and domains, to house our data. The database will reside on our SQL server and will be highly searchable.

This position has provided me with a great opportunity to build a GIS operation from the ground up. At times it has challenging, but I have enjoyed the process. My goal is to create a GIS that works for everyone in the division who needs it to do their job