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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
2019-11-11 09:33:52	ga_s2am_ard_3-2-1_56JKT_2019-11-11_final
2019-11-11 09:34:03	ga_s2am_ard_3-2-1_55JHM_2019-11-11_final
2019-11-11 09:34:17	ga_s2am_ard_3-2-1_56JKR_2019-11-11_final
2019-11-11 09:34:35	ga_s2am_ard_3-2-1_56JNP_2019-11-11_final.stac-item
2019-11-11 09:34:39	ga_s2am_ard_3-2-1_56JMP_2019-11-11_final
2019-11-11 09:34:43	ga_s2am_ard_3-2-1_56JLP_2019-11-11_final
2019-11-11 09:34:46	ga_s2am_ard_3-2-1_56JNN_2019-11-11_final
2019-11-11 09:34:46	ga_s2am_ard_3-2-1_56JKP_2019-11-11_final
2019-11-11 09:34:53	ga_s2am_ard_3-2-1_55JGJ_2019-11-11_final
2019-11-11 09:34:54	ga_s2am_ard_3-2-1_56JMN_2019-11-11_final
2019-11-11 09:35:04	ga_s2am_ard_3-2-1_55JGH_2019-11-11_final
2019-11-11 09:35:15	ga_s2am_ard_3-2-1_56JKM_2019-11-11_final
2019-11-11 09:35:18	ga_s2am_ard_3-2-1_55JGG_2019-11-11_final
2019-11-11 09:35:27	ga_s2am_ard_3-2-1_56JLL_2019-11-11_final
2019-11-11 09:35:32	ga_s2am_ard_3-2-1_55JGF_2019-11-11_final
2019-11-11 09:36:16	ga_s2am_ard_3-2-1_55HGC_2019-11-11_final
2019-11-11 09:36:48	ga_s2am_ard_3-2-1_55HFA_2019-11-11_final
2019-11-11 09:36:59	ga_s2am_ard_3-2-1_55HGV_2019-11-11_final
2019-11-11 09:37:03	ga_s2am_ard_3-2-1_55HFV_2019-11-11_final
2019-11-11 09:37:06	ga_s2am_ard_3-2-1_55HEV_2019-11-11_final
2019-11-11 09:37:21	ga_s2am_ard_3-2-1_55HEU_2019-11-11_final
2019-11-11 09:37:46	ga_s2am_ard_3-2-1_55HFS_2019-11-11_final.stac-item
2019-11-11 09:37:50	ga_s2am_ard_3-2-1_55HES_2019-11-11_final
2019-11-11 09:37:54	ga_s2am_ard_3-2-1_55HDS_2019-11-11_final
2019-11-11 09:38:00	ga_s2am_ard_3-2-1_55GFR_2019-11-11_final
2019-11-11 09:38:04	ga_s2am_ard_3-2-1_55GER_2019-11-11_final
2019-11-11 09:38:08	ga_s2am_ard_3-2-1_55GDR_2019-11-11_final
2019-11-11 09:38:15	ga_s2am_ard_3-2-1_55GFQ_2019-11-11_final
2019-11-11 09:38:29	ga_s2am_ard_3-2-1_55GFP_2019-11-11_final
2019-11-11 09:38:33	ga_s2am_ard_3-2-1_55GEP_2019-11-11_final
2019-11-11 09:38:37	ga_s2am_ard_3-2-1_55GDP_2019-11-11_final
2019-11-11 09:38:42	ga_s2am_ard_3-2-1_55GCP_2019-11-11_final
2019-11-11 11:10:06	ga_s2am_ard_3-2-1_53LKJ_2019-11-11_final.stac-item
2019-11-11 11:10:27	ga_s2am_ard_3-2-1_52LHN_2019-11-11_final
2019-11-11 11:10:31	ga_s2am_ard_3-2-1_52LGN_2019-11-11_final
2019-11-11 11:10:35	ga_s2am_ard_3-2-1_52LFN_2019-11-11_final.stac-item
2019-11-11 11:10:39	ga_s2am_ard_3-2-1_52LHM_2019-11-11_final
2019-11-11 11:10:45	ga_s2am_ard_3-2-1_52LGM_2019-11-11_final
2019-11-11 11:10:49	ga_s2am_ard_3-2-1_52LFM_2019-11-11_final.stac-item
2019-11-11 11:11:00	ga_s2am_ard_3-2-1_52LGL_2019-11-11_final
2019-11-11 11:11:04	ga_s2am_ard_3-2-1_52LFL_2019-11-11_final
2019-11-11 11:11:07	ga_s2am_ard_3-2-1_52LEL_2019-11-11_final.stac-item
2019-11-11 11:11:15	ga_s2am_ard_3-2-1_52LGK_2019-11-11_final
2019-11-11 11:11:18	ga_s2am_ard_3-2-1_52LFK_2019-11-11_final
2019-11-11 11:11:21	ga_s2am_ard_3-2-1_52LEK_2019-11-11_final.stac-item
2019-11-11 11:11:29	ga_s2am_ard_3-2-1_52LGJ_2019-11-11_final
2019-11-11 11:11:33	ga_s2am_ard_3-2-1_52LFJ_2019-11-11_final
2019-11-11 11:11:36	ga_s2am_ard_3-2-1_52LEJ_2019-11-11_final
2019-11-11 11:11:39	ga_s2am_ard_3-2-1_52LDJ_2019-11-11_final
2019-11-11 11:11:42	ga_s2am_ard_3-2-1_52LGH_2019-11-11_final
2019-11-11 11:11:52	ga_s2am_ard_3-2-1_52KGG_2019-11-11_final
2019-11-11 11:12:20	ga_s2am_ard_3-2-1_52KEF_2019-11-11_final
2019-11-11 11:12:23	ga_s2am_ard_3-2-1_52KDF_2019-11-11_final
2019-11-11 11:12:44	ga_s2am_ard_3-2-1_52KFD_2019-11-11_final
2019-11-11 11:12:49	ga_s2am_ard_3-2-1_52KED_2019-11-11_final
2019-11-11 11:12:52	ga_s2am_ard_3-2-1_52KDD_2019-11-11_final
2019-11-11 11:12:55	ga_s2am_ard_3-2-1_52KCD_2019-11-11_final
2019-11-11 11:12:56	ga_s2am_ard_3-2-1_52KFC_2019-11-11_final
2019-11-11 11:13:03	ga_s2am_ard_3-2-1_52KEC_2019-11-11_final
2019-11-11 11:13:07	ga_s2am_ard_3-2-1_52KDC_2019-11-11_final
2019-11-11 11:13:10	ga_s2am_ard_3-2-1_52KCC_2019-11-11_final
2019-11-11 11:13:16	ga_s2am_ard_3-2-1_52KBC_2019-11-11_final
2019-11-11 11:13:17	ga_s2am_ard_3-2-1_52KEB_2019-11-11_final
2019-11-11 11:13:21	ga_s2am_ard_3-2-1_52KDB_2019-11-11_final
2019-11-11 11:13:28	ga_s2am_ard_3-2-1_52KBB_2019-11-11_final
2019-11-11 11:13:32	ga_s2am_ard_3-2-1_52KEA_2019-11-11_final
2019-11-11 11:13:36	ga_s2am_ard_3-2-1_52KDA_2019-11-11_final
2019-11-11 11:13:39	ga_s2am_ard_3-2-1_52KCA_2019-11-11_final
2019-11-11 11:13:42	ga_s2am_ard_3-2-1_52KBA_2019-11-11_final
2019-11-11 11:13:47	ga_s2am_ard_3-2-1_52KEV_2019-11-11_final
2019-11-11 11:13:50	ga_s2am_ard_3-2-1_52KDV_2019-11-11_final
2019-11-11 11:13:54	ga_s2am_ard_3-2-1_52KCV_2019-11-11_final
2019-11-11 11:13:57	ga_s2am_ard_3-2-1_52KBV_2019-11-11_final
2019-11-11 11:14:00	ga_s2am_ard_3-2-1_52KEU_2019-11-11_final
2019-11-11 11:14:05	ga_s2am_ard_3-2-1_52KDU_2019-11-11_final
2019-11-11 11:14:08	ga_s2am_ard_3-2-1_52KCU_2019-11-11_final
2019-11-11 11:14:10	ga_s2am_ard_3-2-1_52JET_2019-11-11_final
2019-11-11 11:14:11	ga_s2am_ard_3-2-1_52KBU_2019-11-11_final
2019-11-11 11:14:19	ga_s2am_ard_3-2-1_52JDT_2019-11-11_final
2019-11-11 11:14:23	ga_s2am_ard_3-2-1_52JCT_2019-11-11_final
2019-11-11 11:14:26	ga_s2am_ard_3-2-1_52JBT_2019-11-11_final
2019-11-11 11:14:31	ga_s2am_ard_3-2-1_51JYN_2019-11-11_final
2019-11-11 11:14:40	ga_s2am_ard_3-2-1_51JZM_2019-11-11_final
2019-11-11 11:14:55	ga_s2am_ard_3-2-1_52JBR_2019-11-11_final
2019-11-11 11:15:02	ga_s2am_ard_3-2-1_52JDQ_2019-11-11_final
2019-11-11 11:15:14	ga_s2am_ard_3-2-1_52JDP_2019-11-11_final
2019-11-11 11:15:19	ga_s2am_ard_3-2-1_52JCP_2019-11-11_final
2019-11-11 11:15:21	ga_s2am_ard_3-2-1_52JBP_2019-11-11_final
2019-11-11 11:15:22	ga_s2am_ard_3-2-1_51JYJ_2019-11-11_final
2019-11-11 11:15:22	ga_s2am_ard_3-2-1_52JDP_2019-11-11_final
2019-11-11 11:15:24	ga_s2am_ard_3-2-1_51JXJ_2019-11-11_final
2019-11-11 11:15:26	ga_s2am_ard_3-2-1_52JCP_2019-11-11_final
2019-11-11 11:15:27	ga_s2am_ard_3-2-1_52JBP_2019-11-11_final
2019-11-11 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2019-11-11_final
2019-11-11 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-11-11_final
2019-11-11 11:15:41	ga_s2am_ard_3-2-1_51JYH_2019-11-11_final
2019-11-11 11:15:53	ga_s2am_ard_3-2-1_52JBM_2019-11-11_final
2019-11-11 11:15:56	ga_s2am_ard_3-2-1_51JYG_2019-11-11_final
2019-11-11 11:16:05	ga_s2am_ard_3-2-1_52JCL_2019-11-11_final
2019-11-11 11:16:10	ga_s2am_ard_3-2-1_51JYF_2019-11-11_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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