Wetland Regional Monitoring Program
Applying geospatial insight to coordinated wetland monitoring and management...
SFEGWG
Wetland Regional Monitoring Program
Applying geospatial insight to coordinated wetland monitoring and management...
SFEGWG
The San Francisco Estuary Geospatial Workgroup is a diverse group of researchers, managers and scientists engaged in coastal management and ecology. This multidisciplinary partnership emphasizes integration of geospatial technology in coastal management and restoration. In addition to a core group of strategic science partners, the workgroup includes industry, agency, and academic partners allowing the workgroup to leverage a deep network of skills and expertise to increase the scope of individual and combined efforts.
SFEGWG
ORGANIZING QUESTIONS
Assess the maturity of technology and determine suitability for specific applications.
Technology Readiness
Monitor the efficacy of implemented technologies, approaches, models and systems to ensure their effectiveness for the intended purpose.
Efficacy
Evaluate, test and understand the factors that support or constrain applications as the scale increases.
Scalability
Address cost, funding streams and the economics of long-term monitoring.
Cost
THINK-TANK
Needs
Ideas
Solve
Application
Identify needs and opportunities for technology, GIS and RS integration.
Leverage the expertise and deep regional experience of the Workgroup.
Explore solutions through collaboration and discussion.
Apply lessons learned through individual and collective efforts.
KEY FOCUS AREAS
Technology Integration
Building regional capacity through partnerships and information sharing.
Remote Sensing
Habitat mapping,
change detection, vegetation analysis, UAS, aerial imaging, computer vision
GRAPHIC IMAGE
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Data Management
Interoperability, data curation, data structures, curation, maintenance, quality
GIS
Mapping, cartography, spatial analysis, software, machine learning, geography
Data Science
Ecological forecasting, bioinformatics, data visualization, ecological modeling, citizen science
Fostering Collaboration
Encouraging Innovation
Understanding Constraints
Building Consensus
Workgroup projects, presentations, partnerships, and outcomes.
ROUND-UP
UAS VEGETATION MAPPING
Scale
Understanding the challenges of applying UAS at scale.
Classification
Supervised and unsupervised learning and hybrid approaches.
Spatial Resolution
Does information content increase at higher spatial resolution?
Accuracy
Systematic accuracy assessment of classification accuracy.
Contributors: Solano Land Trust, SF Bay NERR, SFSU, SUI.
MULTISPECTRAL AERIAL IMAGING
Calibration
Radiometric calibration and ground control approaches, challenges and solutions.
Detectability
Can we detect features and attributes that are critical for understanding ecological function, structure and "health"?
Latency
Optimizing temporal resolution, timing, and return interval.
Scalability
Is aerial imaging practical and effective at the Estuary scale?
Contributors: Dr. Stuart Siegel, Dan Gillenwater, Fred Zhang, Terravion.
WETLAND MONITORING REMOTE SENSING
Comparing Site Trajectories
Reference sites, change detection, comparative monitoring.
Phenological Indicators
Length of growing season, leaf emergence, leaf senescence, peak greenness.
Spatiotemporal Scope
Develop methodological approaches to expand spatiotemporal scope of wetland monitoring at low cost.
Long-term Monitoring
Understanding non-linear trajectories.
Contributors: Sophie Tadeo, Iryna Dronova, UCB.
UAS RESTORATION MONITORING
Comparing Accuracy
Understanding the spectral and landscape factors that improve classification accuracy.
Cost and Benefits
What method produces best results while optimizing for cost?
Comparing Methodologies
UAS, terrestrial LiDAR, digitization, field-based methods.
Measuring Outcomes
Restoration metrics, mitigation and performance monitoring.
Contributors: WRA, Chris Zumwalt.
GLOBAL IMAGING - ANALYTICS
Land Classification Feeds
Automatic extraction of geographic features of interest.
Object Detection Feeds
Automatic detection of objects of interest.
Integrated Platform
Fully-automated, cloud-based, data acquisition and processing.
Persistent Monitoring
Daily global imagery powers rapid insights and confident decision making.
Contributors: Planet, Orestis Herodotou.
BAY SHORELINE FLOOD EXPLORER
Three Factors for Success
Collaborative by design, transparent process, sustainability focus.
Resilience Planning
Data, maps and analysis about the many assets, asset categories and sectors evaluated.
Data Visualization
Interactive exploration and download of Bay Area SLR and shoreline analysis maps.
Understanding Risk
Sea level rise, flooding and storms.
Collaborators: BCDC, Todd Hallenbeck.
LANDSCAPE PROFILE TOOL
Data Access
Maximizes accessibility of critical ecological and environmental data.
Decision Support
Addresses regional information and data needs.
Collaboration
Collaboration and sharing tools.
Data Visualization
Streamlines ecological assessment, planning and reporting.
Contributors: SFEI, Lawrence Sim.
DATA SCIENCE & VISUALIZATION
Enterprise + Open Source GIS
Harmonize Enterprise GIS (authoritative) + open source technology (new libraries) APIs: CARTO + Leaflet + AGOL.
Ecological Modeling
Hierarchical modeling, trend analysis.
Tools
Web viewers, infographics, dashboards, interactive reports.
Science Communication
Biodiversity, sustainability science.
Contributors: Audubon, Gregg Verutes.
VR/AR SCIENCE COMMUNICATION
Immersive Technology
Integration of augmented and virtual reality frameworks in decision making processes.
Scenario Building
Data-driven, realistic view of environmental scenarios and climate change impacts.
Engagement
Overcome barriers to engagement by providing interactive, data-rich experiences.
Communicating Outcomes
Increase the impact of reporting and communication. Communicate complexity through visualization.
Contributors: SCCWRP, Shelly Moore.
Applying geospatial science and technology to the WRMP.
SCIENCE and TECHNOLOGY INTEGRATION
KEY QUESTIONS
TECHNOLOGY | For the scale/goals of the WRMP, what are best available data collection technologies?
DATA INTEROPERABILITY | How do we ensure that data collected can be interoperable at regional scale?
DATA MANAGEMENT | What data management pitfalls should this effort try to avoid?
ACCESS & VISUALIZATION | How do we provide data access and visualization tools at scale?
RESOURCES | Are there existing resources for us to consider leveraging or does this need to be built ground up?
NEXT STEPS | How can SFEGWG best support the WRMP and its technology and RS needs?