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Service Description: This data product shows the monthly median concentration of the pigment Chlorophyll-a (mg/m³) in surface waters from 2010 to 2019 and 2020 to 2024. Chlorophyll-a concentration is often used as a proxy for phytoplankton abundance. This product was created by the Marine Geospatial Ecology Lab, Duke University using remote sensing data from multiple satellite sensors. These include the Moderate-resolution Imaging Spectro-radiometer (MODIS, onboard NASA's Aqua satellite), the Visible Infrared Imaging Radiometer Suite (VIIRS, onboard the Suomi NPP and NOAA-20 satellites), and the Ocean Colour Climate Change Initiative (OC-CCI) composite product developed by the European Space Agency (ESA). VIIRS provides improved spatial resolution and radiometric sensitivity compared to MODIS, enhancing detection of ocean color features. OC-CCI merges data from several sensors to produce a consistent, long-term climate-quality record of ocean color. This layer covers offshore waters from North Carolina to northern Maine, with a spatial resolution of 1,300 meters. Pixels with no data represent data points either consistently flagged during post-processing or shallower than 10 meters of depth. Pixels on rivers or lakes are also removed.
Map Name: Chlorophyll-a concentration
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Layers:
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2020-2024 - OC-CCI (0)
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Chlorophyll-a January - median, OC-CCI (1)
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Chlorophyll-a February - median, OC-CCI (2)
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Chlorophyll-a March - median, OC-CCI (3)
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Chlorophyll-a April - median, OC-CCI (4)
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Chlorophyll-a May - median, OC-CCI (5)
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Chlorophyll-a June - median, OC-CCI (6)
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Chlorophyll-a July - median, OC-CCI (7)
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Chlorophyll-a August - median, OC-CCI (8)
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Chlorophyll-a September - median, OC-CCI (9)
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Chlorophyll-a October - median, OC-CCI (10)
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Chlorophyll-a November - median, OC-CCI (11)
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Chlorophyll-a December - median, OC-CCI (12)
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2020-2024 - VIIRS (13)
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Chlorophyll-a January - median, VIIRS (14)
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Chlorophyll-a February - median, VIIRS (15)
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Chlorophyll-a March - median, VIIRS (16)
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Chlorophyll-a April - median, VIIRS (17)
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Chlorophyll-a May - median, VIIRS (18)
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Chlorophyll-a June - median, VIIRS (19)
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Chlorophyll-a July - median, VIIRS (20)
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Chlorophyll-a August - median, VIIRS (21)
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Chlorophyll-a September - median, VIIRS (22)
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Chlorophyll-a October - median, VIIRS (23)
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Chlorophyll-a November - median, VIIRS (24)
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Chlorophyll-a December - median, VIIRS (25)
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2010-2019 - MODIS (26)
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Chlorophyll-a January - median, MODIS (27)
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Chlorophyll-a February - median, MODIS (28)
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Chlorophyll-a March - median, MODIS (29)
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Chlorophyll-a April - median, MODIS (30)
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Chlorophyll-a May - median, MODIS (31)
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Chlorophyll-a June - median, MODIS (32)
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Chlorophyll-a July - median, MODIS (33)
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Chlorophyll-a August - median, MODIS (34)
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Chlorophyll-a September - median, MODIS (35)
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Chlorophyll-a October - median, MODIS (36)
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Chlorophyll-a November - median, MODIS (37)
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Chlorophyll-a December - median, MODIS (38)
Description: This data product shows the monthly median concentration of the pigment Chlorophyll-a (mg/m³) in surface waters from 2010 to 2019 and 2020 to 2024. Chlorophyll-a concentration is often used as a proxy for phytoplankton abundance. This product was created by the Marine Geospatial Ecology Lab, Duke University using remote sensing data from multiple satellite sensors. These include the Moderate-resolution Imaging Spectro-radiometer (MODIS, onboard NASA's Aqua satellite), the Visible Infrared Imaging Radiometer Suite (VIIRS, onboard the Suomi NPP and NOAA-20 satellites), and the Ocean Colour Climate Change Initiative (OC-CCI) composite product developed by the European Space Agency (ESA). VIIRS provides improved spatial resolution and radiometric sensitivity compared to MODIS, enhancing detection of ocean color features. OC-CCI merges data from several sensors to produce a consistent, long-term climate-quality record of ocean color. This layer covers offshore waters from North Carolina to northern Maine, with a spatial resolution of 1,300 meters. Pixels with no data represent data points either consistently flagged during post-processing or shallower than 10 meters of depth. Pixels on rivers or lakes are also removed.
Copyright Text: Marine Geospatial Ecology Lab, Duke University; NASA; NOAA; ESA
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -8833145.373099478
YMin: 3966845.95556706
XMax: -6359244.210605723
YMax: 6017154.053376986
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -8572760.369111162
YMin: 4163881.144064292
XMax: -6789329.360360592
YMax: 5782018.6555533605
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Monthly chlorophyll-a concentration
Author:
Comments: This data product shows the monthly median concentration of the pigment Chlorophyll-a (mg/m³) in surface waters from 2010 to 2019 and 2020 to 2024. Chlorophyll-a concentration is often used as a proxy for phytoplankton abundance. This product was created by the Marine Geospatial Ecology Lab, Duke University using remote sensing data from multiple satellite sensors. These include the Moderate-resolution Imaging Spectro-radiometer (MODIS, onboard NASA's Aqua satellite), the Visible Infrared Imaging Radiometer Suite (VIIRS, onboard the Suomi NPP and NOAA-20 satellites), and the Ocean Colour Climate Change Initiative (OC-CCI) composite product developed by the European Space Agency (ESA). VIIRS provides improved spatial resolution and radiometric sensitivity compared to MODIS, enhancing detection of ocean color features. OC-CCI merges data from several sensors to produce a consistent, long-term climate-quality record of ocean color. This layer covers offshore waters from North Carolina to northern Maine, with a spatial resolution of 1,300 meters. Pixels with no data represent data points either consistently flagged during post-processing or shallower than 10 meters of depth. Pixels on rivers or lakes are also removed.
Subject: Monthly chlorophyll-a concentration from multiple sensors over two time periods
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AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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