Inspect Dataset and Feature objects
The following section describes the basic operations you can perform with
cerbere to handle Earth Observation data files with
dataset package. This package can be seen as a unified API to
access any data file content, whatever the format and content. There is one
dataset class per data format, convention, product type…
Using objects from dataset subpackage
A dataset class provides a set of methods to inspect the content
of the read data. They allow to retrieve information from a file in the same way
whatever its format. There is one class per type of format or writing convention
. Let’s open for instance a GHRSST sea surface temperature product, using the
GHRSSTNCDataset class.
First download the sample product at: ftp://ftp.ifremer.fr/ifremer/cersat/projects/cerbere/test_data/GHRSSTNCDataset/20190719000110-MAR-L2P_GHRSST-SSTskin-SLSTRA-20190719021531-v02.0-fv01.0.nc
Open it:
from cerbere.dataset.ghrsstncdataset import GHRSSTNCDataset
prod = GHRSSTNCDataset('20190719000110-MAR-L2P_GHRSST-SSTskin-SLSTRA-20190719021531-v02.0-fv01.0.nc')
Get the list of fields in a file (all but the geolocation fields) with
fieldnames:
>>> prod.fieldnames
['adi_dtime_from_sst', 'aerosol_dynamic_indicator', 'brightness_temperature', 'dt_analysis', 'dual_nadir_sst_difference', 'l2p_flags', 'nadir_sst_theoretical_uncertainty', 'nedt', 'probability_cloud_single_in', 'probability_cloud_single_io', 'quality_level', 'satellite_zenith_angle', 'sea_ice_fraction', 'sea_ice_fraction_dtime_from_sst', 'sea_surface_temperature', 'sses_bias', 'sses_standard_deviation', 'sst_algorithm_type', 'sst_theoretical_uncertainty', 'wind_speed', 'wind_speed_dtime_from_sst']
Get the list of geolocation fields with geocoordnames:
>>> prod.geocoordnames
['lat', 'lon', 'time']
Get the dimensions (like in netCDF) of a file (Note that the geolocation dimension
names returned are standardized - here cell and row are the standard
dimensions names for a satellite swath observation feature):
>>> prod.dims
OrderedDict([('cell', 1500), ('channel', 3), ('row', 1202)])
Get the size of a dimension (standard names can be used for geolocation dimensions):
>>> prod.get_dimsize('row') # standard dimension name for Swath feature
1202
Get a field and print it:
>>> field = prod.get_field('sea_surface_temperature')
>>> print(field)
Field : 'sea_surface_temperature'
sea surface skin temperature
dimensions :
# row : 1202
# cell : 1500
standard CF attributes :
# standard_name : sea_surface_skin_temperature
# units : kelvin
# valid_max : 4500
# valid_min : -300
# fill_value : -32768
other attributes :
# comment : Marine skin surface temperature
# depth : 10 micrometres
# quality_vars : None
Get the field attributes, as a dictionary:
>>> prod.get_field_attrs('sea_surface_temperature')
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
or:
>>> prod.get_field('sea_surface_temperature').attrs
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
Get the dimensions (like in netCDF) of a particular field:
>>> prod.get_field_sizes('sea_surface_temperature')
OrderedDict([('row', 1202), ('cell', 1500)])
or:
>>> prod.get_field('sea_surface_temperature').dims
OrderedDict([('row', 1202), ('cell', 1500)])
Get the dataset global attributes, as a dictionary:
>>> prod.attrs
{'Conventions': 'CF-1.6, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'European Commission Copernicus Programme', 'cdm_data_type': 'swath', 'comment': 'GHRSST SST L2P', 'creator_email': 'ops@eumetsat.int', 'creator_name': 'EUMETSAT', 'creator_url': 'http://navigator.eumetsat.int/', 'date_created': '20190719T021531Z', 'easternmost_longitude': 179.80088806152344, 'file_quality_level': 3, 'gds_version_id': '2.0r5', 'geospatial_lat_resolution': 0.009, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_resolution': 0.009, 'geospatial_lon_units': 'degrees_east', 'history': 'Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml', 'id': 'SLSTRA-MAR-L2P-v1.0', 'institution': 'MAR', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'Copernicus Programme free, full and open data policy', 'metadata_link': 'N/A', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.2 of Jul 5 2012 17:07:43 $', 'northernmost_latitude': 73.35906219482422, 'platform': 'Sentinel3A', 'processing_level': 'L2P', 'product_version': '1.0', 'project': 'Group for High Resolution Sea Surface Temperature', 'publisher_email': 'ghrsst-po@nceo.ac.uk', 'publisher_name': 'The GHRSST Project Office', 'publisher_url': 'http://www.ghrsst.org', 'references': 'S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2', 'sensor': 'SLSTR', 'source': 'IPF-SL-2 06.16', 'southernmost_latitude': 59.30952453613281, 'spatial_resolution': '1 km at nadir', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20190719T000109Z', 'stop_time': '20190719T000409Z', 'summary': 'Sentinel-3A SLSTR skin sea surface temperature', 'time_coverage_end': datetime.datetime(2019, 7, 19, 0, 4, 9, tzinfo=tzutc()), 'time_coverage_start': datetime.datetime(2019, 7, 19, 0, 1, 9, tzinfo=tzutc()), 'title': 'Sentinel-3A SLSTR L2P SST dataset', 'uuid': 'TBC', 'westernmost_longitude': -179.07666015625}
Then instantiate a feature class object from the above dataset object. This product corresponds to a Swath feature, which can be created from the content of the above dataset:
>>> from cerbere.feature.swath import Swath
>>> swath = Swath(prod)
>>> print(swath)
Feature : Swath
Dataset: GHRSSTNCDataset
Feature Dims :
. row : 1202
. cell : 1500
Other Dims :
. channel : 3
Feature Coordinates :
. lat (row: 1202, cell: 1500)
. lon (row: 1202, cell: 1500)
. time (row: 1202, cell: 1500)
Other Coordinates :
Fields :
. adi_dtime_from_sst (row: 1202, cell: 1500)
. aerosol_dynamic_indicator (row: 1202, cell: 1500)
. brightness_temperature (channel: 3, row: 1202, cell: 1500)
. dt_analysis (row: 1202, cell: 1500)
. dual_nadir_sst_difference (row: 1202, cell: 1500)
. l2p_flags (row: 1202, cell: 1500)
. nadir_sst_theoretical_uncertainty (row: 1202, cell: 1500)
. nedt (channel: 3, row: 1202, cell: 1500)
. probability_cloud_single_in (row: 1202, cell: 1500)
. probability_cloud_single_io (row: 1202, cell: 1500)
. quality_level (row: 1202, cell: 1500)
. satellite_zenith_angle (row: 1202, cell: 1500)
. sea_ice_fraction (row: 1202, cell: 1500)
. sea_ice_fraction_dtime_from_sst (row: 1202, cell: 1500)
. sea_surface_temperature (row: 1202, cell: 1500)
. sses_bias (row: 1202, cell: 1500)
. sses_standard_deviation (row: 1202, cell: 1500)
. sst_algorithm_type (row: 1202, cell: 1500)
. sst_theoretical_uncertainty (row: 1202, cell: 1500)
. wind_speed (row: 1202, cell: 1500)
. wind_speed_dtime_from_sst (row: 1202, cell: 1500)
Global Attributes :
. Conventions CF-1.6, Unidata Observation Dataset v1.0
. Metadata_Conventions Unidata Dataset Discovery v1.0
. acknowledgment European Commission Copernicus Programme
. cdm_data_type swath
. comment GHRSST SST L2P
. creator_email ops@eumetsat.int
. creator_name EUMETSAT
. creator_url http://navigator.eumetsat.int/
. date_created 20190719T021531Z
. easternmost_longitude 179.80088806152344
. file_quality_level 3
. gds_version_id 2.0r5
. geospatial_lat_resolution 0.009
. geospatial_lat_units degrees_north
. geospatial_lon_resolution 0.009
. geospatial_lon_units degrees_east
. history Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml
. id SLSTRA-MAR-L2P-v1.0
. institution MAR
. keywords Oceans > Ocean Temperature > Sea Surface Temperature
. keywords_vocabulary NASA Global Change Master Directory (GCMD) Science Keywords
. license Copernicus Programme free, full and open data policy
. metadata_link N/A
. naming_authority org.ghrsst
. netcdf_version_id 4.2 of Jul 5 2012 17:07:43 $
. northernmost_latitude 73.35906219482422
. platform Sentinel3A
. processing_level L2P
. product_version 1.0
. project Group for High Resolution Sea Surface Temperature
. publisher_email ghrsst-po@nceo.ac.uk
. publisher_name The GHRSST Project Office
. publisher_url http://www.ghrsst.org
. references S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2
. sensor SLSTR
. source IPF-SL-2 06.16
. southernmost_latitude 59.30952453613281
. spatial_resolution 1 km at nadir
. standard_name_vocabulary NetCDF Climate and Forecast (CF) Metadata Convention
. start_time 20190719T000109Z
. stop_time 20190719T000409Z
. summary Sentinel-3A SLSTR skin sea surface temperature
. time_coverage_end 2019-07-19 00:04:09+00:00
. time_coverage_start 2019-07-19 00:01:09+00:00
. title Sentinel-3A SLSTR L2P SST dataset
. uuid TBC
. westernmost_longitude -179.07666015625
dimensions names for a satellite swath observation feature):
>>> prod.dims
OrderedDict([('cell', 1500), ('channel', 3), ('row', 1202)])
Get the size of a dimension (standard names can be used for geolocation dimensions):
>>> prod.get_dimsize('row') # standard dimension name for Swath feature
1202
Get a field and print it:
>>> field = prod.get_field('sea_surface_temperature')
>>> print(field)
Field : 'sea_surface_temperature'
sea surface skin temperature
dimensions :
# row : 1202
# cell : 1500
standard CF attributes :
# standard_name : sea_surface_skin_temperature
# units : kelvin
# valid_max : 4500
# valid_min : -300
# fill_value : -32768
other attributes :
# comment : Marine skin surface temperature
# depth : 10 micrometres
# quality_vars : None
Get the field attributes, as a dictionary:
>>> prod.get_field_attrs('sea_surface_temperature')
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
or:
>>> prod.get_field('sea_surface_temperature').attrs
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
Get the dimensions (like in netCDF) of a particular field:
>>> prod.get_field_sizes('sea_surface_temperature')
OrderedDict([('row', 1202), ('cell', 1500)])
or:
>>> prod.get_field('sea_surface_temperature').dims
OrderedDict([('row', 1202), ('cell', 1500)])
Get the dataset global attributes, as a dictionary:
>>> prod.attrs
{'Conventions': 'CF-1.6, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'European Commission Copernicus Programme', 'cdm_data_type': 'swath', 'comment': 'GHRSST SST L2P', 'creator_email': 'ops@eumetsat.int', 'creator_name': 'EUMETSAT', 'creator_url': 'http://navigator.eumetsat.int/', 'date_created': '20190719T021531Z', 'easternmost_longitude': 179.80088806152344, 'file_quality_level': 3, 'gds_version_id': '2.0r5', 'geospatial_lat_resolution': 0.009, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_resolution': 0.009, 'geospatial_lon_units': 'degrees_east', 'history': 'Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml', 'id': 'SLSTRA-MAR-L2P-v1.0', 'institution': 'MAR', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'Copernicus Programme free, full and open data policy', 'metadata_link': 'N/A', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.2 of Jul 5 2012 17:07:43 $', 'northernmost_latitude': 73.35906219482422, 'platform': 'Sentinel3A', 'processing_level': 'L2P', 'product_version': '1.0', 'project': 'Group for High Resolution Sea Surface Temperature', 'publisher_email': 'ghrsst-po@nceo.ac.uk', 'publisher_name': 'The GHRSST Project Office', 'publisher_url': 'http://www.ghrsst.org', 'references': 'S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2', 'sensor': 'SLSTR', 'source': 'IPF-SL-2 06.16', 'southernmost_latitude': 59.30952453613281, 'spatial_resolution': '1 km at nadir', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20190719T000109Z', 'stop_time': '20190719T000409Z', 'summary': 'Sentinel-3A SLSTR skin sea surface temperature', 'time_coverage_end': datetime.datetime(2019, 7, 19, 0, 4, 9, tzinfo=tzutc()), 'time_coverage_start': datetime.datetime(2019, 7, 19, 0, 1, 9, tzinfo=tzutc()), 'title': 'Sentinel-3A SLSTR L2P SST dataset', 'uuid': 'TBC', 'westernmost_longitude': -179.07666015625}
Then instantiate a feature class object from the above dataset object. This product corresponds to a Swath feature, which can be created from the content of the above dataset:
>>> from cerbere.feature.swath import Swath
>>> swath = Swath(prod)
>>> print(swath)
Feature : Swath
Dataset: GHRSSTNCDataset
Feature Dims :
. row : 1202
. cell : 1500
Other Dims :
. channel : 3
Feature Coordinates :
. lat (row: 1202, cell: 1500)
. lon (row: 1202, cell: 1500)
. time (row: 1202, cell: 1500)
Other Coordinates :
Fields :
. adi_dtime_from_sst (row: 1202, cell: 1500)
. aerosol_dynamic_indicator (row: 1202, cell: 1500)
. brightness_temperature (channel: 3, row: 1202, cell: 1500)
. dt_analysis (row: 1202, cell: 1500)
. dual_nadir_sst_difference (row: 1202, cell: 1500)
. l2p_flags (row: 1202, cell: 1500)
. nadir_sst_theoretical_uncertainty (row: 1202, cell: 1500)
. nedt (channel: 3, row: 1202, cell: 1500)
. probability_cloud_single_in (row: 1202, cell: 1500)
. probability_cloud_single_io (row: 1202, cell: 1500)
. quality_level (row: 1202, cell: 1500)
. satellite_zenith_angle (row: 1202, cell: 1500)
. sea_ice_fraction (row: 1202, cell: 1500)
. sea_ice_fraction_dtime_from_sst (row: 1202, cell: 1500)
. sea_surface_temperature (row: 1202, cell: 1500)
. sses_bias (row: 1202, cell: 1500)
. sses_standard_deviation (row: 1202, cell: 1500)
. sst_algorithm_type (row: 1202, cell: 1500)
. sst_theoretical_uncertainty (row: 1202, cell: 1500)
. wind_speed (row: 1202, cell: 1500)
. wind_speed_dtime_from_sst (row: 1202, cell: 1500)
Global Attributes :
. Conventions CF-1.6, Unidata Observation Dataset v1.0
. Metadata_Conventions Unidata Dataset Discovery v1.0
. acknowledgment European Commission Copernicus Programme
. cdm_data_type swath
. comment GHRSST SST L2P
. creator_email ops@eumetsat.int
. creator_name EUMETSAT
. creator_url http://navigator.eumetsat.int/
. date_created 20190719T021531Z
. easternmost_longitude 179.80088806152344
. file_quality_level 3
. gds_version_id 2.0r5
. geospatial_lat_resolution 0.009
. geospatial_lat_units degrees_north
. geospatial_lon_resolution 0.009
. geospatial_lon_units degrees_east
. history Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml
. id SLSTRA-MAR-L2P-v1.0
. institution MAR
. keywords Oceans > Ocean Temperature > Sea Surface Temperature
. keywords_vocabulary NASA Global Change Master Directory (GCMD) Science Keywords
. license Copernicus Programme free, full and open data policy
. metadata_link N/A
. naming_authority org.ghrsst
. netcdf_version_id 4.2 of Jul 5 2012 17:07:43 $
. northernmost_latitude 73.35906219482422
. platform Sentinel3A
. processing_level L2P
. product_version 1.0
. project Group for High Resolution Sea Surface Temperature
. publisher_email ghrsst-po@nceo.ac.uk
. publisher_name The GHRSST Project Office
. publisher_url http://www.ghrsst.org
. references S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2
. sensor SLSTR
. source IPF-SL-2 06.16
. southernmost_latitude 59.30952453613281
. spatial_resolution 1 km at nadir
. standard_name_vocabulary NetCDF Climate and Forecast (CF) Metadata Convention
. start_time 20190719T000109Z
. stop_time 20190719T000409Z
. summary Sentinel-3A SLSTR skin sea surface temperature
. time_coverage_end 2019-07-19 00:04:09+00:00
. time_coverage_start 2019-07-19 00:01:09+00:00
. title Sentinel-3A SLSTR L2P SST dataset
. uuid TBC
. westernmost_longitude -179.07666015625
dimensions names for a satellite swath observation feature):
>>> prod.dims
OrderedDict([('cell', 1500), ('channel', 3), ('row', 1202)])
Get the size of a dimension (standard names can be used for geolocation dimensions):
>>> prod.get_dimsize('row') # standard dimension name for Swath feature
1202
Get a field and print it:
>>> field = prod.get_field('sea_surface_temperature')
>>> print(field)
Field : 'sea_surface_temperature'
sea surface skin temperature
dimensions :
# row : 1202
# cell : 1500
standard CF attributes :
# standard_name : sea_surface_skin_temperature
# units : kelvin
# valid_max : 4500
# valid_min : -300
# fill_value : -32768
other attributes :
# comment : Marine skin surface temperature
# depth : 10 micrometres
# quality_vars : None
Get the field attributes, as a dictionary:
>>> prod.get_field_attrs('sea_surface_temperature')
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
or:
>>> prod.get_field('sea_surface_temperature').attrs
{'comment': 'Marine skin surface temperature', 'depth': '10 micrometres', 'long_name': 'sea surface skin temperature', 'standard_name': 'sea_surface_skin_temperature', 'units': 'kelvin', 'valid_max': 4500, 'valid_min': -300, 'quality_vars': None}
Get the dimensions (like in netCDF) of a particular field:
>>> prod.get_field_dims('sea_surface_temperature')
OrderedDict([('row', 1202), ('cell', 1500)])
or:
>>> prod.get_field('sea_surface_temperature').dims
OrderedDict([('row', 1202), ('cell', 1500)])
Get the dataset global attributes, as a dictionary:
>>> prod.attrs
{'Conventions': 'CF-1.6, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'European Commission Copernicus Programme', 'cdm_data_type': 'swath', 'comment': 'GHRSST SST L2P', 'creator_email': 'ops@eumetsat.int', 'creator_name': 'EUMETSAT', 'creator_url': 'http://navigator.eumetsat.int/', 'date_created': '20190719T021531Z', 'easternmost_longitude': 179.80088806152344, 'file_quality_level': 3, 'gds_version_id': '2.0r5', 'geospatial_lat_resolution': 0.009, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_resolution': 0.009, 'geospatial_lon_units': 'degrees_east', 'history': 'Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml', 'id': 'SLSTRA-MAR-L2P-v1.0', 'institution': 'MAR', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'Copernicus Programme free, full and open data policy', 'metadata_link': 'N/A', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.2 of Jul 5 2012 17:07:43 $', 'northernmost_latitude': 73.35906219482422, 'platform': 'Sentinel3A', 'processing_level': 'L2P', 'product_version': '1.0', 'project': 'Group for High Resolution Sea Surface Temperature', 'publisher_email': 'ghrsst-po@nceo.ac.uk', 'publisher_name': 'The GHRSST Project Office', 'publisher_url': 'http://www.ghrsst.org', 'references': 'S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2', 'sensor': 'SLSTR', 'source': 'IPF-SL-2 06.16', 'southernmost_latitude': 59.30952453613281, 'spatial_resolution': '1 km at nadir', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20190719T000109Z', 'stop_time': '20190719T000409Z', 'summary': 'Sentinel-3A SLSTR skin sea surface temperature', 'time_coverage_end': datetime.datetime(2019, 7, 19, 0, 4, 9, tzinfo=tzutc()), 'time_coverage_start': datetime.datetime(2019, 7, 19, 0, 1, 9, tzinfo=tzutc()), 'title': 'Sentinel-3A SLSTR L2P SST dataset', 'uuid': 'TBC', 'westernmost_longitude': -179.07666015625}
Then instantiate a feature class object from the above dataset object. This product corresponds to a Swath feature, which can be created from the content of the above dataset:
>>> from cerbere.feature.swath import Swath
>>> swath = Swath(prod)
>>> print(swath)
Feature : Swath
Dataset: GHRSSTNCDataset
Feature Dims :
. row : 1202
. cell : 1500
Other Dims :
. channel : 3
Feature Coordinates :
. lat (row: 1202, cell: 1500)
. lon (row: 1202, cell: 1500)
. time (row: 1202, cell: 1500)
Other Coordinates :
Fields :
. adi_dtime_from_sst (row: 1202, cell: 1500)
. aerosol_dynamic_indicator (row: 1202, cell: 1500)
. brightness_temperature (channel: 3, row: 1202, cell: 1500)
. dt_analysis (row: 1202, cell: 1500)
. dual_nadir_sst_difference (row: 1202, cell: 1500)
. l2p_flags (row: 1202, cell: 1500)
. nadir_sst_theoretical_uncertainty (row: 1202, cell: 1500)
. nedt (channel: 3, row: 1202, cell: 1500)
. probability_cloud_single_in (row: 1202, cell: 1500)
. probability_cloud_single_io (row: 1202, cell: 1500)
. quality_level (row: 1202, cell: 1500)
. satellite_zenith_angle (row: 1202, cell: 1500)
. sea_ice_fraction (row: 1202, cell: 1500)
. sea_ice_fraction_dtime_from_sst (row: 1202, cell: 1500)
. sea_surface_temperature (row: 1202, cell: 1500)
. sses_bias (row: 1202, cell: 1500)
. sses_standard_deviation (row: 1202, cell: 1500)
. sst_algorithm_type (row: 1202, cell: 1500)
. sst_theoretical_uncertainty (row: 1202, cell: 1500)
. wind_speed (row: 1202, cell: 1500)
. wind_speed_dtime_from_sst (row: 1202, cell: 1500)
Global Attributes :
. Conventions CF-1.6, Unidata Observation Dataset v1.0
. Metadata_Conventions Unidata Dataset Discovery v1.0
. acknowledgment European Commission Copernicus Programme
. cdm_data_type swath
. comment GHRSST SST L2P
. creator_email ops@eumetsat.int
. creator_name EUMETSAT
. creator_url http://navigator.eumetsat.int/
. date_created 20190719T021531Z
. easternmost_longitude 179.80088806152344
. file_quality_level 3
. gds_version_id 2.0r5
. geospatial_lat_resolution 0.009
. geospatial_lat_units degrees_north
. geospatial_lon_resolution 0.009
. geospatial_lon_units degrees_east
. history Sentinel-3 Optical Instrument Processing Facility 2019-07-19T02:15:31Z: PUGCoreProcessor /data/ipf-s3/workdir3/612042951/JobOrder.612042951.xml
. id SLSTRA-MAR-L2P-v1.0
. institution MAR
. keywords Oceans > Ocean Temperature > Sea Surface Temperature
. keywords_vocabulary NASA Global Change Master Directory (GCMD) Science Keywords
. license Copernicus Programme free, full and open data policy
. metadata_link N/A
. naming_authority org.ghrsst
. netcdf_version_id 4.2 of Jul 5 2012 17:07:43 $
. northernmost_latitude 73.35906219482422
. platform Sentinel3A
. processing_level L2P
. product_version 1.0
. project Group for High Resolution Sea Surface Temperature
. publisher_email ghrsst-po@nceo.ac.uk
. publisher_name The GHRSST Project Office
. publisher_url http://www.ghrsst.org
. references S3IPF PDS 005.3 - i2r7 - Product Data Format Specification - SLSTR Level 2 Marine, S3IPF PDS 002 - i1r7 - Product Data Format Specification - Product Structures, S3IPF DPM 007 - i1r8 - Detailed Processing Model - SLSTR Level 2
. sensor SLSTR
. source IPF-SL-2 06.16
. southernmost_latitude 59.30952453613281
. spatial_resolution 1 km at nadir
. standard_name_vocabulary NetCDF Climate and Forecast (CF) Metadata Convention
. start_time 20190719T000109Z
. stop_time 20190719T000409Z
. summary Sentinel-3A SLSTR skin sea surface temperature
. time_coverage_end 2019-07-19 00:04:09+00:00
. time_coverage_start 2019-07-19 00:01:09+00:00
. title Sentinel-3A SLSTR L2P SST dataset
. uuid TBC
. westernmost_longitude -179.07666015625