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Towards a satellite-based near real-time monitoring system for … · 2017-10-20 · Towards a...
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Towards a satellite-based near real-time monitoring system for water quality Nima Pahlevan NASA GSFC / Code (619) [email protected] Organizing committee: Steve Ackleson (NRL), Tom Cecere (USGS), Steve Greb (Wisconsin DNR), Christine Lee (NASA JPL), Blake Shaeffer (EPA), Rick Stumpf (NOAA), Maria Tzortziou (CCNY), and Jeremy Werdell (NASA GSFC)
Transcript of Towards a satellite-based near real-time monitoring system for … · 2017-10-20 · Towards a...
Towards a satellite-based
near real-time monitoring system for
water quality
Nima Pahlevan
NASA GSFC / Code (619)
Organizing committee:
Steve Ackleson (NRL), Tom Cecere (USGS), Steve Greb (Wisconsin DNR), Christine Lee (NASA JPL),
Blake Shaeffer (EPA), Rick Stumpf (NOAA), Maria Tzortziou (CCNY), and Jeremy Werdell (NASA GSFC)
Motivated by…
1. Improved satellite sensors/products (quantity) and quality)
Landsat-7
2010 20252015 2020
Landsat-5
Constellations of satellites until ~20282-3 day revisit time
Motivated by…
1. Improved satellite sensors/products (quantity and quality)
Landsat-5
Landsat-7
Landsat-8
Sentinel-2A
Boston Harbor over the years
Motivated by…
1. Improved satellite sensors/products (quantity and quality)
2. Availability of fairly mature data processing
• Incudes extensively validated ocean color algorithms• Flexible for incorporating new algorithms
Motivated by…
1. Improved satellite sensors/products (quantity and quality)
2. Availability of fairly mature data processing
3. Pressing need for monitoring water quality
Motivated by…
1. Improved satellite sensors/products (quantity and quality)
2. Availability of fairly mature data processing
3. Pressing need for monitoring water quality
Motivated by…
1. Improved satellite sensors/products (quantity and quality)
2. Availability of fairly mature data processing
3. Pressing need for monitoring water quality
4. Existing architectures for near real-time (NRT) applications
Recognizing…
1. Satellite sensors (not ideal)
2. Science algorithms (not perfect)
Recognizing…
1. Satellite sensors (not ideal)
2. Science algorithms (not perfect)
Workshop Objective
• Facilitate the utility of satellite data products for water-quality management
☛ Through a near real-time (NRT) warning system
Near real-time (NRT) warning system
NRT anomaly detectionAlarm issued when anomaly detected
Minimal training needed for end users
Near real-time (NRT) warning system
Product selection(e.g., total suspended
solids, Turbidity, Clarity, Chlorophyll-a)
End user receives an alarm when an
anomaly is detected within his/her region of
interest.
Frontend: Web interface
Backend: Anomaly detection
NRT processing of satellite data
Pull data
Minimal training needed for end users
Near real-time (NRT) warning system
What is needed?
What is needed?
1. Community support
What is needed?
1. Community support
• 340 participants140 in-person
Thanks to National Water Quality Monitoring Council for spreading the word
What is needed?
1. Community support
2. Funding support
What do we expect from end users?
What do we expect from end users?
• Support evaluating the NRT tool
What do we expect from end users?
• Support evaluating the NRT tool
• Provide feedback for improvements
What do we expect from end users?
• Support evaluating the NRT tool
• Provide feedback for improvements
• Coordinated in situ data collection and exchange
Future of this NRT tool
• Nowcasting >>> forecasting
• Capable of Incorporating various datasets • in situ • model outputs• other satellite/airborne/UAV data products
• Likely transition to operational agencies / private sector
Today
1. Introduction to aquatic remote sensing and the need for Cal/Val
2. Hearing from end users’ experiences
3. Lunchtime presentations, discussions, and networking
4. Available NRT tools
5. Community discussion (let us know what you think?)
