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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLP_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLR_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKM_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKN_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKR_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKP_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KKA_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KMB_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KNB_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KLA_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KMV_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JMS_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KLV_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KKV_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLM_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KLU_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGH_2018-09-02_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLN_2018-09-02_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HDD_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HED_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JFJ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDG_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JEG_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HDV_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_54HXE_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JEJ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HCV_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HBV_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_54HYE_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JBG_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JFL_2018-09-03_final.stac-item
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JBH_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDH_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JEH_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55GCP_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55GBQ_2018-09-03_final.stac-item
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HEE_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HDE_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDJ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KDQ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KEQ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KFR_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_56KKF_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KGR_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JEM_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KFQ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KES_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KDS_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDK_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JEK_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_54HYH_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KGQ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JCL_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HDC_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDM_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KFP_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDL_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55GCQ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JCJ_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_54GYV_2018-09-03_final.stac-item
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HCB_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55HCD_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JCH_2018-09-03_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55JDF_2018-09-03_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KYA_2018-09-03_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51LXD_2018-09-03_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KYV_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JUJ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVG_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVJ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JWJ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50JQM_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50JQP_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JTG_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JTH_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JTL_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JTJ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVF_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWS_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVS_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KXR_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVQ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWQ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KUR_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JWM_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVM_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KXQ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KUQ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQH_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JUL_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KUP_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JWK_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVK_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50JQN_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JVH_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KXP_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51HUD_2018-09-03_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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