get_ocx_coefs: Get predefined coefficients for OCx
In BIO-RSG/oceancolouR: Various Functions for Satellite and Data Analysis
get_ocx_coefs R Documentation
Get predefined coefficients for OCx
Description
Library of existing optimized coefficients for the polynomial band ratio algorithm.
"ocx" returns the coefficients of the global ocean colour algorithm used by NASA (as of Nov 2020) for the selected sensor. "poly1" to "poly4" return the regionally-optimized coefficients for polynomial algorithms of degrees 1 to 4 for the selected sensor, for the two available regions: nwa (Northwest Atlantic) or nep (Northeast Pacific).
Usage
get_ocx_coefs(sensor, region = "global", alg = "ocx")
Arguments
sensor
String, either modisaqua, seawifs, viirssnpp, landsat8, sentinel2, or olci
region
String, either "global" (for ocx algorithms), or "nwa" or "nep" (for ocx or poly1 to poly4)
alg
String, either "poly1", "poly2", "poly3", "poly4", "poly4v2", "ocx", "oc2", "oc3", or "oc4"
Value
Numeric vector of polynomial coefficients, from the coefficient on the lowest degree term to highest degree.
References
Standard algorithms from NASA: https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/
Clay, S.; Peña, A.; DeTracey, B.; Devred, E. Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a Concentration in the Canadian Atlantic and Pacific Oceans. Remote Sens. 2019, 11, 2609.
https://www.mdpi.com/2072-4292/11/22/2609
poly4v2 is the same as poly4, but was tuned with more HPLC in situ data (2002-2021), and with adjusted matchup criteria (satellite pass within 12 hours of sampling, 5x5 matrix around matching pixel, at least 13 valid pixels required in 5x5 matrix).
BIO-RSG/oceancolouR documentation built on Feb. 2, 2025, 2:01 a.m.
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| get_ocx_coefs | R Documentation |
Get predefined coefficients for OCx
Description
Library of existing optimized coefficients for the polynomial band ratio algorithm. "ocx" returns the coefficients of the global ocean colour algorithm used by NASA (as of Nov 2020) for the selected sensor. "poly1" to "poly4" return the regionally-optimized coefficients for polynomial algorithms of degrees 1 to 4 for the selected sensor, for the two available regions: nwa (Northwest Atlantic) or nep (Northeast Pacific).
Usage
get_ocx_coefs(sensor, region = "global", alg = "ocx")
Arguments
sensor |
String, either modisaqua, seawifs, viirssnpp, landsat8, sentinel2, or olci |
region |
String, either "global" (for ocx algorithms), or "nwa" or "nep" (for ocx or poly1 to poly4) |
alg |
String, either "poly1", "poly2", "poly3", "poly4", "poly4v2", "ocx", "oc2", "oc3", or "oc4" |
Value
Numeric vector of polynomial coefficients, from the coefficient on the lowest degree term to highest degree.
References
Standard algorithms from NASA: https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/
Clay, S.; Peña, A.; DeTracey, B.; Devred, E. Evaluation of Satellite-Based Algorithms to Retrieve Chlorophyll-a Concentration in the Canadian Atlantic and Pacific Oceans. Remote Sens. 2019, 11, 2609. https://www.mdpi.com/2072-4292/11/22/2609
poly4v2 is the same as poly4, but was tuned with more HPLC in situ data (2002-2021), and with adjusted matchup criteria (satellite pass within 12 hours of sampling, 5x5 matrix around matching pixel, at least 13 valid pixels required in 5x5 matrix).
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