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Service Description: Satellite-based assessments of ocean color began in 1978 with the launch of the Coastal Zone Color Scanner (CZCS) aboard the NASA Nimbus 7 satellite. Following a decade-long break in observations, there have been continuous satellite ocean color measurements since 1997 with Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), followed by Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS),Visible Infrared Imaging Radiometer Suite (VIIRS),Ocean Land Color Instrument (OLCI), Second Generation Global Imager (SGLI) and Ocean Color and Temperature Scanner (OCTS) with additional sensors in development. Data gaps from individual sensors are common due to revisit cycles, cloud cover, and spurious retrievals resulting from a host of confounding atmospheric and aquatic conditions. Some of these issues have been addressed by combining data from multiple sensors and creating a consistent, merged ocean color product (e.g., surface ocean chlorophyll-a concentration). The ESA Ocean Color CCI (OC-CCI) project, led by Plymouth Marine Laboratory (PML), has produced a consistent, merged chlorophyll-a product from SeaWiFS, MODIS, MERIS and VIIRS, spanning the years 1997 to 2019 (Sathyendranath et al., 2018). The merged multi-sensor product will be updated in both time and with data from additional sensors (e.g., OLCI) as part of the Copernicus Climate Change Service (C3S) and the Copernicus Marine Service (CMEMS) that will continue the time series on an operational basis. Future OC-CCI releases will also include algorithmic improvements developed under the CCI+ initiative. Chlorophyll-a concentrations for this indicator are obtained from the global ocean, 4 km spatial data from multiple sensors and creating a consistent, merged ocean color product for each pixel within a country’s EEZ.For purposes of this sub-indicator, reporting year values are compared to a baseline of years 2000 to 2004. The baseline climatology was calculated as the mean of the 5 years of each month by pixel (e.g., mean of 5 years of January) resulting in a 5 year mean of each calendar month over the period 2000 to 2004. The processing steps are outlined.
Name: chlorophyll/chlorophyll_sub1_monthly_deviation
Description: Satellite-based assessments of ocean color began in 1978 with the launch of the Coastal Zone Color Scanner (CZCS) aboard the NASA Nimbus 7 satellite. Following a decade-long break in observations, there have been continuous satellite ocean color measurements since 1997 with Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), followed by Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS),Visible Infrared Imaging Radiometer Suite (VIIRS),Ocean Land Color Instrument (OLCI), Second Generation Global Imager (SGLI) and Ocean Color and Temperature Scanner (OCTS) with additional sensors in development. Data gaps from individual sensors are common due to revisit cycles, cloud cover, and spurious retrievals resulting from a host of confounding atmospheric and aquatic conditions. Some of these issues have been addressed by combining data from multiple sensors and creating a consistent, merged ocean color product (e.g., surface ocean chlorophyll-a concentration). The ESA Ocean Color CCI (OC-CCI) project, led by Plymouth Marine Laboratory (PML), has produced a consistent, merged chlorophyll-a product from SeaWiFS, MODIS, MERIS and VIIRS, spanning the years 1997 to 2019 (Sathyendranath et al., 2018). The merged multi-sensor product will be updated in both time and with data from additional sensors (e.g., OLCI) as part of the Copernicus Climate Change Service (C3S) and the Copernicus Marine Service (CMEMS) that will continue the time series on an operational basis. Future OC-CCI releases will also include algorithmic improvements developed under the CCI+ initiative. Chlorophyll-a concentrations for this indicator are obtained from the global ocean, 4 km spatial data from multiple sensors and creating a consistent, merged ocean color product for each pixel within a country’s EEZ.For purposes of this sub-indicator, reporting year values are compared to a baseline of years 2000 to 2004. The baseline climatology was calculated as the mean of the 5 years of each month by pixel (e.g., mean of 5 years of January) resulting in a 5 year mean of each calendar month over the period 2000 to 2004. The processing steps are outlined.
Single Fused Map Cache: false
Extent:
XMin: -2.0037507842788246E7
YMin: -3.024097145838614E7
XMax: 2.00364175253799E7
YMax: 3.024097145838615E7
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -2.0037507842788246E7
YMin: -3.024097145838614E7
XMax: 2.00364175253799E7
YMax: 3.024097145838615E7
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -2.0037507842788246E7
YMin: -3.024097145838614E7
XMax: 2.00364175253799E7
YMax: 3.024097145838615E7
Spatial Reference: 102100
(3857)
Time Info:
Start Time Field: StdTime
End Time Field: StdTime
Time Extent:
[2000/01/01 00:00:00 UTC, 2020/12/01 00:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 4638.185806500943
Pixel Size Y: 4638.185806500943
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : true
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: GEO Blue Planet, United Nations Environment Programme (UNEP), Esri
Service Data Type: esriImageServiceDataTypeScientific
Min Values: 0.005671035964041948
Max Values: 99.97590637207031
Mean Values: 1.8676736812066566
Standard Deviation Values: 2.8709626827284445
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: null
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: null
Max Mosaic Image Count: null
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: false
Supports Advanced Queries: false
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Multidimensional Info
Slices
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project