bio_remote_sensing_occci_poly4 eng UTF8 dataset service Axiom Docker Install Axiom Docker Install 555-555-5555 123 Irrelevant St. Nowhere AK 99504 USA nobody@example.com pointOfContact 2026-06-02 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 3 column 1272 0.04166666666666667 row 1032 0.04166666666666667 temporal 10302 86769.05154839336 area POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present 2025-07-29 creation cioosatlantic.ca bio_remote_sensing_occci_poly4 Stephanie Clay dfo_bio Stephanie.Clay@dfo-mpo.gc.ca https://bio-rsg.github.io/ information web browser Background Information Background information from the source information originator Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method. This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR). Stephanie Clay dfo_bio Stephanie.Clay@dfo-mpo.gc.ca https://bio-rsg.github.io/ information web browser Background Information Background information from the source information pointOfContact 2025-03-31 agencies agencies-non-us atlantic based bio ca/dfo/bio canada cci chemistry chl chlorophyll chlorophyll-a coefficients color concentration data department dfo earth fisheries government mass model multisensor non northwest nwa observation oc-cci occci ocean ocean color oceans optics optimized pigments platforms poly4 poly4v1 product providers satellites science sea seawater space space-based water with theme Providers > GOVERNMENT AGENCIES-NON-US > CANADA > CA/DFO/BIO Platforms > Space-based Platforms > Earth Observation Satellites > Earth Science > Oceans > Ocean Optics > Chlorophyll > Chlorophyll Concentration Earth Science > Oceans > Ocean Chemistry > Pigments > Chlorophyll Earth Science > Oceans > Ocean Chemistry > Chlorophyll theme GCMD Science Keywords dfo_bio project time latitude longitude mass_concentration_of_chlorophyll_a_in_sea_water theme CF Standard Name Table v79 https://creativecommons.org/licenses/by/4.0/ dfo_bio largerWorkCitation project Unidata Common Data Model Grid largerWorkCitation project eng geoscientificInformation 1 -94.979164 -42.020832 39.020832 81.979164 seconds 1997-09-04T00:00:00Z 2025-12-31T00:00:00Z POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present 2025-07-29 creation Stephanie Clay dfo_bio Stephanie.Clay@dfo-mpo.gc.ca https://bio-rsg.github.io/ information web browser Background Information Background information from the source information originator Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method. This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR). ERDDAP griddap 1 -94.979164 -42.020832 39.020832 81.979164 seconds 1997-09-04T00:00:00Z 2025-12-31T00:00:00Z tight ERDDAPgriddapDatasetQueryAndAccess https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_poly4 ERDDAP:griddap ERDDAP-griddap ERDDAP's griddap service (a flavor of OPeNDAP) for gridded data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present 2025-07-29 creation Stephanie Clay dfo_bio Stephanie.Clay@dfo-mpo.gc.ca https://bio-rsg.github.io/ information web browser Background Information Background information from the source information originator Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method. This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR). OPeNDAP 1 -94.979164 -42.020832 39.020832 81.979164 seconds 1997-09-04T00:00:00Z 2025-12-31T00:00:00Z tight OPeNDAPDatasetQueryAndAccess https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_poly4 OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for gridded data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present 2025-07-29 creation Stephanie Clay dfo_bio Stephanie.Clay@dfo-mpo.gc.ca https://bio-rsg.github.io/ information web browser Background Information Background information from the source information originator Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method. This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR). Open Geospatial Consortium Web Map Service (WMS) 1 -94.979164 -42.020832 39.020832 81.979164 seconds 1997-09-04T00:00:00Z 2025-12-31T00:00:00Z tight GetCapabilities https://cioosatlantic.ca/erddap/wms/bio_remote_sensing_occci_poly4/request?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download physicalMeasurement chlor_a float Chlorophyll-a Concentration (POLY4 model with coefficients optimized to OC-CCI multisensor product in the Northwest Atlantic) Axiom Docker Install Axiom Docker Install 555-555-5555 123 Irrelevant St. Nowhere AK 99504 USA nobody@example.com distributor OPeNDAP DAP/2.0 https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_poly4.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download https://cioosatlantic.ca/erddap/griddap/bio_remote_sensing_occci_poly4.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset Created with make_mapped_netcdf.R. Input data are 4km-resolution level-3 binned remote sensing reflectances (Rrs) from the OC-CCI multisensor product (www.oceancolour.org) generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. Rrs are subset to the region of interest and used in conjunction with the most recent set of regionally-tuned parameters to create the level-3 binned product. The data are then mapped to a Plate Carrée projection using a nearest-neighbour method implemented in bin_to_raster() from the oceancolouR R package. This record was created from dataset metadata by ERDDAP Version 2.23