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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
2020-09-29 09:41:47	ga_s2am_ard_3-2-1_56KLF_2020-09-29_final
2020-09-29 09:42:16	ga_s2am_ard_3-2-1_56KLD_2020-09-29_final
2020-09-29 09:42:45	ga_s2am_ard_3-2-1_56KLB_2020-09-29_final
2020-09-29 09:42:48	ga_s2am_ard_3-2-1_56KKB_2020-09-29_final
2020-09-29 09:42:52	ga_s2am_ard_3-2-1_55KGS_2020-09-29_final
2020-09-29 09:43:00	ga_s2am_ard_3-2-1_56KLA_2020-09-29_final
2020-09-29 09:43:03	ga_s2am_ard_3-2-1_56KKA_2020-09-29_final
2020-09-29 09:43:07	ga_s2am_ard_3-2-1_55KGR_2020-09-29_final
2020-09-29 09:44:01	ga_s2am_ard_3-2-1_56JKS_2020-09-29_final
2020-09-29 09:44:05	ga_s2am_ard_3-2-1_55JGM_2020-09-29_final
2020-09-29 09:44:11	ga_s2am_ard_3-2-1_56JLR_2020-09-29_final
2020-09-29 09:44:16	ga_s2am_ard_3-2-1_56JKR_2020-09-29_final
2020-09-29 09:44:19	ga_s2am_ard_3-2-1_55JGL_2020-09-29_final
2020-09-29 09:44:23	ga_s2am_ard_3-2-1_55JFL_2020-09-29_final
2020-09-29 09:44:30	ga_s2am_ard_3-2-1_55JEL_2020-09-29_final
2020-09-29 09:44:41	ga_s2am_ard_3-2-1_55JEK_2020-09-29_final
2020-09-29 09:44:45	ga_s2am_ard_3-2-1_56JKP_2020-09-29_final
2020-09-29 09:44:48	ga_s2am_ard_3-2-1_55JGJ_2020-09-29_final
2020-09-29 09:44:52	ga_s2am_ard_3-2-1_55JFJ_2020-09-29_final
2020-09-29 09:44:55	ga_s2am_ard_3-2-1_55JEJ_2020-09-29_final
2020-09-29 09:45:00	ga_s2am_ard_3-2-1_56JKN_2020-09-29_final
2020-09-29 09:45:02	ga_s2am_ard_3-2-1_55JGH_2020-09-29_final
2020-09-29 09:45:10	ga_s2am_ard_3-2-1_55JEH_2020-09-29_final
2020-09-29 09:45:14	ga_s2am_ard_3-2-1_56JKM_2020-09-29_final
2020-09-29 09:45:17	ga_s2am_ard_3-2-1_55JGG_2020-09-29_final
2020-09-29 09:45:21	ga_s2am_ard_3-2-1_55JFG_2020-09-29_final
2020-09-29 09:45:35	ga_s2am_ard_3-2-1_55JFF_2020-09-29_final
2020-09-29 09:45:39	ga_s2am_ard_3-2-1_55JEF_2020-09-29_final
2020-09-29 09:45:43	ga_s2am_ard_3-2-1_55JDF_2020-09-29_final
2020-09-29 09:45:50	ga_s2am_ard_3-2-1_55HFE_2020-09-29_final
2020-09-29 09:45:53	ga_s2am_ard_3-2-1_55HEE_2020-09-29_final
2020-09-29 09:45:56	ga_s2am_ard_3-2-1_55HDE_2020-09-29_final
2020-09-29 09:46:13	ga_s2am_ard_3-2-1_55HGC_2020-09-29_final
2020-09-29 09:46:47	ga_s2am_ard_3-2-1_55HFA_2020-09-29_final
2020-09-29 09:46:58	ga_s2am_ard_3-2-1_55HCA_2020-09-29_final
2020-09-29 09:47:02	ga_s2am_ard_3-2-1_55HFV_2020-09-29_final
2020-09-29 09:47:06	ga_s2am_ard_3-2-1_55HEV_2020-09-29_final
2020-09-29 09:47:09	ga_s2am_ard_3-2-1_55HDV_2020-09-29_final
2020-09-29 09:47:13	ga_s2am_ard_3-2-1_55HCV_2020-09-29_final
2020-09-29 09:47:56	ga_s2am_ard_3-2-1_55HCS_2020-09-29_final
2020-09-29 09:47:59	ga_s2am_ard_3-2-1_55HBS_2020-09-29_final
2020-09-29 09:48:00	ga_s2am_ard_3-2-1_54HYB_2020-09-29_final
2020-09-29 09:48:04	ga_s2am_ard_3-2-1_55GER_2020-09-29_final
2020-09-29 09:48:07	ga_s2am_ard_3-2-1_55GDR_2020-09-29_final
2020-09-29 09:48:11	ga_s2am_ard_3-2-1_55GCR_2020-09-29_final
2020-09-29 09:48:14	ga_s2am_ard_3-2-1_55GBR_2020-09-29_final
2020-09-29 09:48:14	ga_s2am_ard_3-2-1_54GYA_2020-09-29_final
2020-09-29 09:48:17	ga_s2am_ard_3-2-1_55GEQ_2020-09-29_final
2020-09-29 09:48:22	ga_s2am_ard_3-2-1_55GDQ_2020-09-29_final
2020-09-29 09:48:25	ga_s2am_ard_3-2-1_55GCQ_2020-09-29_final
2020-09-29 09:48:27	ga_s2am_ard_3-2-1_55GEP_2020-09-29_final
2020-09-29 09:48:29	ga_s2am_ard_3-2-1_55GBQ_2020-09-29_final.stac-item
2020-09-29 09:48:29	ga_s2am_ard_3-2-1_54GYV_2020-09-29_final.stac-item
2020-09-29 09:48:36	ga_s2am_ard_3-2-1_55GDP_2020-09-29_final
2020-09-29 09:48:40	ga_s2am_ard_3-2-1_55GCP_2020-09-29_final
2020-09-29 11:21:13	ga_s2am_ard_3-2-1_52LEK_2020-09-29_final.stac-item
2020-09-29 11:21:27	ga_s2am_ard_3-2-1_52LCK_2020-09-29_final.stac-item
2020-09-29 11:22:24	ga_s2am_ard_3-2-1_52KCF_2020-09-29_final
2020-09-29 11:22:47	ga_s2am_ard_3-2-1_51KYV_2020-09-29_final
2020-09-29 11:22:54	ga_s2am_ard_3-2-1_52KCD_2020-09-29_final
2020-09-29 11:23:06	ga_s2am_ard_3-2-1_51KXU_2020-09-29_final
2020-09-29 11:23:08	ga_s2am_ard_3-2-1_52KCC_2020-09-29_final
2020-09-29 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-09-29_final
2020-09-29 11:23:22	ga_s2am_ard_3-2-1_52KCB_2020-09-29_final
2020-09-29 11:23:26	ga_s2am_ard_3-2-1_52KBB_2020-09-29_final
2020-09-29 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-09-29_final
2020-09-29 11:23:33	ga_s2am_ard_3-2-1_52KCA_2020-09-29_final
2020-09-29 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-09-29_final
2020-09-29 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-09-29_final
2020-09-29 11:23:45	ga_s2am_ard_3-2-1_51KYR_2020-09-29_final
2020-09-29 11:23:48	ga_s2am_ard_3-2-1_51KXR_2020-09-29_final
2020-09-29 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2020-09-29_final
2020-09-29 11:24:13	ga_s2am_ard_3-2-1_51KWQ_2020-09-29_final
2020-09-29 11:24:38	ga_s2am_ard_3-2-1_52JBS_2020-09-29_final
2020-09-29 11:24:42	ga_s2am_ard_3-2-1_51JYM_2020-09-29_final
2020-09-29 11:24:49	ga_s2am_ard_3-2-1_52JBR_2020-09-29_final
2020-09-29 11:24:50	ga_s2am_ard_3-2-1_51JWM_2020-09-29_final
2020-09-29 11:24:57	ga_s2am_ard_3-2-1_51JYL_2020-09-29_final
2020-09-29 11:25:01	ga_s2am_ard_3-2-1_51JXL_2020-09-29_final
2020-09-29 11:25:04	ga_s2am_ard_3-2-1_51JWL_2020-09-29_final
2020-09-29 11:25:09	ga_s2am_ard_3-2-1_51JVL_2020-09-29_final
2020-09-29 11:25:19	ga_s2am_ard_3-2-1_51JWK_2020-09-29_final
2020-09-29 11:25:22	ga_s2am_ard_3-2-1_51JVK_2020-09-29_final
2020-09-29 11:25:26	ga_s2am_ard_3-2-1_51JYJ_2020-09-29_final
2020-09-29 11:25:30	ga_s2am_ard_3-2-1_51JXJ_2020-09-29_final
2020-09-29 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2020-09-29_final
2020-09-29 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2020-09-29_final
2020-09-29 11:25:39	ga_s2am_ard_3-2-1_51JYH_2020-09-29_final
2020-09-29 11:25:48	ga_s2am_ard_3-2-1_51JWH_2020-09-29_final
2020-09-29 11:25:50	ga_s2am_ard_3-2-1_51JYG_2020-09-29_final
2020-09-29 11:25:51	ga_s2am_ard_3-2-1_51JVH_2020-09-29_final
2020-09-29 11:25:58	ga_s2am_ard_3-2-1_51JXG_2020-09-29_final
2020-09-29 11:26:11	ga_s2am_ard_3-2-1_51JUG_2020-09-29_final
2020-09-29 11:26:13	ga_s2am_ard_3-2-1_51JXF_2020-09-29_final
2020-09-29 11:26:17	ga_s2am_ard_3-2-1_51JWF_2020-09-29_final
2020-09-29 11:26:20	ga_s2am_ard_3-2-1_51JVF_2020-09-29_final
2020-09-29 11:26:23	ga_s2am_ard_3-2-1_51JUF_2020-09-29_final
2020-09-29 11:26:28	ga_s2am_ard_3-2-1_51HXE_2020-09-29_final
2020-09-29 11:26:31	ga_s2am_ard_3-2-1_51HWE_2020-09-29_final
2020-09-29 11:26:35	ga_s2am_ard_3-2-1_51HVE_2020-09-29_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

All years