Proposed Abstract Title

Fluctuations in Distribution of a Salish-Sea Eelgrass Meadow Over Time and Space

Type of Presentation

Snapshot

Session Title

Mapping and Data

Location

2016SSEC

Description

This presentation will provide methods used to map distributions of eelgrass over time at large and fine scale using ESRI ArcGIS 3D software combined with temporal visualization techniques and Story Maps to facilitate making data accessible to a larger audience.

The Padilla Bay National Estuarine Research Reserve uses geospatial technologies in collection, analysis and visualization of its environmental monitoring data. A two-tiered spatial scale eelgrass (Zostera japonica and Zostera marina) monitoring program tracks large scale variability of the intertidal habitats in both time and space on a bay wide scale, as well as fine scale temporal and spatial variation of vegetative characteristics (density, percent cover, and height) annually along three 4-km transects. Aerial photo interpretation, combined with on the ground field data, are used to map distribution bay-wide in 2004 and in 2015, and difference maps between years show where the greatest changes have taken place. The fine scale transect data are visualized using Geographic Information Systems (GIS) animation to look for patterns and relationships, as well as, to identify anomalous events, and use as a visual data screening tool. Collectively, these geospatial visualization tools provide a compelling and captivating means of communicating environmental monitoring data to a wide range of audiences and stakeholders.

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Fluctuations in Distribution of a Salish-Sea Eelgrass Meadow Over Time and Space

2016SSEC

This presentation will provide methods used to map distributions of eelgrass over time at large and fine scale using ESRI ArcGIS 3D software combined with temporal visualization techniques and Story Maps to facilitate making data accessible to a larger audience.

The Padilla Bay National Estuarine Research Reserve uses geospatial technologies in collection, analysis and visualization of its environmental monitoring data. A two-tiered spatial scale eelgrass (Zostera japonica and Zostera marina) monitoring program tracks large scale variability of the intertidal habitats in both time and space on a bay wide scale, as well as fine scale temporal and spatial variation of vegetative characteristics (density, percent cover, and height) annually along three 4-km transects. Aerial photo interpretation, combined with on the ground field data, are used to map distribution bay-wide in 2004 and in 2015, and difference maps between years show where the greatest changes have taken place. The fine scale transect data are visualized using Geographic Information Systems (GIS) animation to look for patterns and relationships, as well as, to identify anomalous events, and use as a visual data screening tool. Collectively, these geospatial visualization tools provide a compelling and captivating means of communicating environmental monitoring data to a wide range of audiences and stakeholders.