investigating harmful algal blooms · 2017-06-29 · using drone (uas) imagery 13 stitched drone...
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Investigating
Harmful Algal
Blooms using: -Satellites
-Drones
-Boats
-Citizen Science
Nina Raqueno
Ryan Ford, Ph.D. Candidate
Dr. Anthony Vodacek
Rochester Institute of Technology
Center for Imaging Science
Digital Imaging & Remote Sensing
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Remote Sensing
2
“Remote sensing is the field of study associated with extracting information about an object without physical contact with it.” – Dr. John Schott, Remote Sensing: The
Imaging Chain Approach
• RIT’s Digital Imaging and Remote Sensing (DIRS) Group
• Focus on developing and improving remote sensing techniques and sensors including airborne, satellite, and drone imagery.
• This research using Landsat and drones to detect and monitor harmful algal blooms is funded by NASA/USGS.
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Cyanobacteria Blooms in the Finger Lakes
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New York State Department of Environmental Conservation reported blooms in the Finger Lakes from 2012 to 2016. Red coloring represents waterbodies with reported
bloom and not spatial extent.
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Landsat 8 Owasco LakeBloom 9/20/2016
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Near shore
monitoring could miss
the off shore bloom.
Satellite image (when
available and cloud free)
can provide a lake
wide assessment of
the conditions.
http://arcg.is/2e3bAcG
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Landsat 8 and Sentinel 2 Spectral Responses
Sentinel 2
Landsat 8
Satellite Imagery: more than pretty pictures
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Satellite Imagery: Spectral Band Combinations
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Cyanobacteria Absorption Vs. Green Algae
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Chlorophyll-a
Phycocyanin
Landsat 8 Band
RSR
Landsat Next?RIT’s research provides
guidance to NASA on how to
improve their satellite sensors for
improved water quality analysis.
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Owasco Bloom Retrieval: Landsat 8 September 20, 2016
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Chlorophyll-a (mg/m^3) Phycocyanin (mg/m^3)
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Honeoye Lake Chl-a and PC
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Results using
all Landsat 8
spectral bands
to extract Chl-a
& Phycocyanin
Concentrations
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Limitation of Imaging Satellites
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Landsat 8 September 11, 201611:50 AM
• Clouds
• Temporal Coverage
• Spatial Coverage
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Avon Marsh Dam Pond
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30 Meter Landsat 8 OLI Imagery September 11, 2016
Google Maps Imagery
• Spatial Coverage
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DRONE IMAGERY
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Quantification of Cyanobacteria Blooms Using Drone (UAS) Imagery
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Stitched Drone Imagery of
Honeoye Lake
September 12, 2016
Ryan Ford, Ph.D. Student
Nina Raqueno, Research Scientist
Dr. Anthony Vodacek, Faculty
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RIT Strategic Initiative in UAS Imaging ResearchUAV Sensor Integration Lab UAV Flight Testing Enclosure
Hyperspectral LidarMultispectral Infrared
High Performance
Algorithms and Computing
High Performance Multi-rotor Copters
DJI S1000
DJI M600
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Sandy Bottom Beach, Honeoye Lake
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Google Maps Imagery
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Drone Spatial Coverage: Limited
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Honeoye Lake, September 12, 2016
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Color (RGB) Composite Imagery of Sandy Bottom Beach
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Honeoye Lake, September 12, 2016
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IR False color imagery of Sandy Bottom BeachNIR, Red, Green Composite
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Conclusions
Results are promising, but improvements can be made:
• Further Develop Drone Collection Strategies- Test bands to determine optimal combination
- Determine optimum way to reduce levels of sun/sky glint
- Address possible bottom issues
- RTK GPS
• Refining Data Analysis- Removing non-physical concentration combinations
• Integrate and share all data streams
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What’s YOUR real question?
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Do I go swimming today?
Do I go swimming HERE today?
Is my water safe to drink?
Is it safe to eat the fish?
What is contributing to HABs?
Can we predict HABs?
....
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Citizen Science Example
21http://arcg.is/2dRx5d3
Follow this link for an example of a GIS web tool that could be used
for reporting and educating the public on what HABs look like, results
from monitoring programs, invasive species surveys....
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2017
20 October, 2017
http://ewh.ieee.org/r1/rochester/grss/STRATUS2017/
Want to learn more about UAS/Drone Research?