simulated effects of co-registration errors: implications related to … · 2018-08-02 ·...
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Simulated effects of co-registration errors: implications related to estimating forest
characteristics using remotely sensed data
INGY Coeur d’Alene March 13, 2017 John Hogland, David Affleck, & Nathaniel Anderson
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Previous Work
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Previous Work
Error
Spatial Outputs
Preprocessing
Modeling
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Issues
• Inconsistent image acquisition dates
• Plot layout• Size• Sampling intensity• Small trees
• Co-registration errors• GPS• Imagery
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NAIP Shift GPS (8m)
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NAIP Shift GPS & Image (8m, 7m)
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Landsat Shift GPS & Image (8m, 60m)
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Co-registration Errors
• What are the impacts
• How to address co-registration errors
• Better horizontal accuracy
• Larger plot area
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How To Simulate
• Field perspective• Time intensive
• Relationship between spectral and plot measurements
• Limited in geographic extent
• Image perspective• Assume perfect relationship between plot and mean
spectral values
• Introduce random spatial shifts
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Simulations Overview
• Random Locations
• Circle vs square
• Introduce shift
• Extract spectral values
• Regress values
• Growing overlap
Info Explained = 𝑂𝑟𝑖𝑔𝑖𝑛𝑎𝑙 𝑎𝑟𝑒𝑎−𝑟𝑒𝑔𝑖𝑠𝑡𝑟𝑎𝑡𝑖𝑜𝑛 𝑒𝑟𝑟𝑜𝑟 𝑎𝑟𝑒𝑎
𝑂𝑟𝑖𝑔𝑖𝑛𝑎𝑙 𝐴𝑟𝑒𝑎
56%69%77%
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Extracting & Aggregating 56 55 52 29 10
45 59 57 33 24
46 60 57 44 25
48 63 40 33 26
30 50 41 24 20
65 56 55 52 29
63 45 59 57 33
62 46 60 57 44
66 48 63 40 33
59 30 50 41 24
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Worst Case Scenario
Random Noise (0-255)
% overlap = Info Explained = R2
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Images
Landsat 8 City Ag
NAIP
Forest Forest & Ag WaterRandom
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Simulations• 7 images
• 5000 locations
• 2 random shifts • GPS (7m)• Image (NAIP: 6 cells, Landsat: 2 cells)
• Extract spectral values
• Regress against one another
• Record intercept, slope, and R2
• Repeated (0-50 cells by 5)
𝑦 = 𝛼 + 𝛽𝑥
Record
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Results
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GPS = 7mImage = 6m (6 cells)
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GPS = 7mImage = 6m (6 cells)
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GPS = 7mImage = 6m (6 cells)
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GPS = 7mImage = 60m (2 cells)
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GPS = 7mImage = 60m (2 cells)
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GPS = 7mImage = 60m (2 cells)
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Conclusion
• We can minimize effect of co-registration
• Requires sampling a bigger area
• Practical limitations in the field
• Co-registration errors introduce bias
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Next Steps
• What proportion of plot extent needs to be sampled?
• What is the best layout within the plot extent?
• How to use the estimate of bias to refine predictions?
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Contact Information
John Hogland, Biological Scientist
Rocky Mountain Research Station
800 East Beckwith
Missoula, MT 59801
Phone: (406) 329-2138
email: [email protected]