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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
2019-11-21 09:36:41	ga_s2am_ard_3-2-1_56HKF_2019-11-21_final
2019-11-21 09:36:43	ga_s2am_ard_3-2-1_55HGA_2019-11-21_final
2019-11-21 09:36:47	ga_s2am_ard_3-2-1_55HFA_2019-11-21_final
2019-11-21 09:36:51	ga_s2am_ard_3-2-1_55HEA_2019-11-21_final
2019-11-21 09:37:12	ga_s2am_ard_3-2-1_55HGU_2019-11-21_final.stac-item
2019-11-21 09:37:19	ga_s2am_ard_3-2-1_55HEU_2019-11-21_final
2019-11-21 09:37:48	ga_s2am_ard_3-2-1_55HES_2019-11-21_final
2019-11-21 09:37:52	ga_s2am_ard_3-2-1_55HDS_2019-11-21_final
2019-11-21 09:37:59	ga_s2am_ard_3-2-1_55GFR_2019-11-21_final
2019-11-21 09:38:03	ga_s2am_ard_3-2-1_55GER_2019-11-21_final
2019-11-21 09:38:06	ga_s2am_ard_3-2-1_55GDR_2019-11-21_final
2019-11-21 09:38:13	ga_s2am_ard_3-2-1_55GFQ_2019-11-21_final
2019-11-21 09:38:17	ga_s2am_ard_3-2-1_55GEQ_2019-11-21_final
2019-11-21 09:38:21	ga_s2am_ard_3-2-1_55GDQ_2019-11-21_final
2019-11-21 09:38:27	ga_s2am_ard_3-2-1_55GFP_2019-11-21_final
2019-11-21 09:38:32	ga_s2am_ard_3-2-1_55GEP_2019-11-21_final
2019-11-21 09:38:35	ga_s2am_ard_3-2-1_55GDP_2019-11-21_final
2019-11-21 09:38:41	ga_s2am_ard_3-2-1_55GCP_2019-11-21_final
2019-11-21 11:10:05	ga_s2am_ard_3-2-1_53LKJ_2019-11-21_final.stac-item
2019-11-21 11:10:26	ga_s2am_ard_3-2-1_52LHN_2019-11-21_final
2019-11-21 11:10:30	ga_s2am_ard_3-2-1_52LGN_2019-11-21_final
2019-11-21 11:10:33	ga_s2am_ard_3-2-1_52LFN_2019-11-21_final.stac-item
2019-11-21 11:10:38	ga_s2am_ard_3-2-1_52LHM_2019-11-21_final
2019-11-21 11:10:44	ga_s2am_ard_3-2-1_52LGM_2019-11-21_final
2019-11-21 11:10:48	ga_s2am_ard_3-2-1_52LFM_2019-11-21_final.stac-item
2019-11-21 11:10:59	ga_s2am_ard_3-2-1_52LGL_2019-11-21_final
2019-11-21 11:11:06	ga_s2am_ard_3-2-1_52LEL_2019-11-21_final.stac-item
2019-11-21 11:11:17	ga_s2am_ard_3-2-1_52LFK_2019-11-21_final
2019-11-21 11:11:20	ga_s2am_ard_3-2-1_52LEK_2019-11-21_final.stac-item
2019-11-21 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2019-11-21_final
2019-11-21 11:11:35	ga_s2am_ard_3-2-1_52LEJ_2019-11-21_final
2019-11-21 11:11:38	ga_s2am_ard_3-2-1_52LDJ_2019-11-21_final
2019-11-21 11:11:49	ga_s2am_ard_3-2-1_52LEH_2019-11-21_final
2019-11-21 11:11:51	ga_s2am_ard_3-2-1_52KGG_2019-11-21_final
2019-11-21 11:11:52	ga_s2am_ard_3-2-1_52LDH_2019-11-21_final
2019-11-21 11:12:00	ga_s2am_ard_3-2-1_52KFG_2019-11-21_final
2019-11-21 11:12:04	ga_s2am_ard_3-2-1_52KEG_2019-11-21_final
2019-11-21 11:12:07	ga_s2am_ard_3-2-1_52KDG_2019-11-21_final
2019-11-21 11:12:11	ga_s2am_ard_3-2-1_52KCG_2019-11-21_final
2019-11-21 11:12:15	ga_s2am_ard_3-2-1_52KFF_2019-11-21_final
2019-11-21 11:12:18	ga_s2am_ard_3-2-1_52KEF_2019-11-21_final
2019-11-21 11:12:21	ga_s2am_ard_3-2-1_52KDF_2019-11-21_final
2019-11-21 11:12:24	ga_s2am_ard_3-2-1_52KCF_2019-11-21_final
2019-11-21 11:12:29	ga_s2am_ard_3-2-1_52KFE_2019-11-21_final
2019-11-21 11:12:33	ga_s2am_ard_3-2-1_52KEE_2019-11-21_final
2019-11-21 11:12:36	ga_s2am_ard_3-2-1_52KDE_2019-11-21_final
2019-11-21 11:12:39	ga_s2am_ard_3-2-1_52KCE_2019-11-21_final
2019-11-21 11:12:43	ga_s2am_ard_3-2-1_52KFD_2019-11-21_final
2019-11-21 11:12:54	ga_s2am_ard_3-2-1_52KCD_2019-11-21_final
2019-11-21 11:12:55	ga_s2am_ard_3-2-1_52KFC_2019-11-21_final
2019-11-21 11:13:14	ga_s2am_ard_3-2-1_52KBC_2019-11-21_final
2019-11-21 11:13:23	ga_s2am_ard_3-2-1_52KCB_2019-11-21_final
2019-11-21 11:13:26	ga_s2am_ard_3-2-1_52KBB_2019-11-21_final
2019-11-21 11:13:31	ga_s2am_ard_3-2-1_52KEA_2019-11-21_final
2019-11-21 11:13:34	ga_s2am_ard_3-2-1_52KDA_2019-11-21_final
2019-11-21 11:13:41	ga_s2am_ard_3-2-1_51KZR_2019-11-21_final
2019-11-21 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2019-11-21_final
2019-11-21 11:13:55	ga_s2am_ard_3-2-1_52KBV_2019-11-21_final
2019-11-21 11:13:58	ga_s2am_ard_3-2-1_52KEU_2019-11-21_final
2019-11-21 11:14:03	ga_s2am_ard_3-2-1_52KDU_2019-11-21_final
2019-11-21 11:14:08	ga_s2am_ard_3-2-1_52JET_2019-11-21_final
2019-11-21 11:14:10	ga_s2am_ard_3-2-1_51KZP_2019-11-21_final
2019-11-21 11:14:10	ga_s2am_ard_3-2-1_52KBU_2019-11-21_final
2019-11-21 11:14:18	ga_s2am_ard_3-2-1_52JDT_2019-11-21_final
2019-11-21 11:14:21	ga_s2am_ard_3-2-1_52JCT_2019-11-21_final
2019-11-21 11:14:24	ga_s2am_ard_3-2-1_51JZN_2019-11-21_final
2019-11-21 11:14:24	ga_s2am_ard_3-2-1_52JBT_2019-11-21_final
2019-11-21 11:14:30	ga_s2am_ard_3-2-1_51JYN_2019-11-21_final
2019-11-21 11:14:32	ga_s2am_ard_3-2-1_52JDS_2019-11-21_final
2019-11-21 11:14:36	ga_s2am_ard_3-2-1_52JCS_2019-11-21_final
2019-11-21 11:14:38	ga_s2am_ard_3-2-1_51JZM_2019-11-21_final
2019-11-21 11:14:39	ga_s2am_ard_3-2-1_52JBS_2019-11-21_final
2019-11-21 11:14:42	ga_s2am_ard_3-2-1_51JYM_2019-11-21_final
2019-11-21 11:14:50	ga_s2am_ard_3-2-1_52JCR_2019-11-21_final
2019-11-21 11:15:01	ga_s2am_ard_3-2-1_52JDQ_2019-11-21_final
2019-11-21 11:15:05	ga_s2am_ard_3-2-1_52JCQ_2019-11-21_final
2019-11-21 11:15:13	ga_s2am_ard_3-2-1_52JDP_2019-11-21_final
2019-11-21 11:15:19	ga_s2am_ard_3-2-1_52JCP_2019-11-21_final
2019-11-21 11:15:23	ga_s2am_ard_3-2-1_52JBP_2019-11-21_final
2019-11-21 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2019-11-21_final
2019-11-21 11:15:37	ga_s2am_ard_3-2-1_52JBN_2019-11-21_final
2019-11-21 11:15:40	ga_s2am_ard_3-2-1_51JYH_2019-11-21_final
2019-11-21 11:15:48	ga_s2am_ard_3-2-1_52JCM_2019-11-21_final
2019-11-21 11:15:52	ga_s2am_ard_3-2-1_52JBM_2019-11-21_final
2019-11-21 11:15:55	ga_s2am_ard_3-2-1_51JYG_2019-11-21_final
2019-11-21 11:15:58	ga_s2am_ard_3-2-1_51JXG_2019-11-21_final
2019-11-21 11:16:03	ga_s2am_ard_3-2-1_52JCL_2019-11-21_final
2019-11-21 11:16:06	ga_s2am_ard_3-2-1_51JYF_2019-11-21_final
2019-11-21 11:16:08	ga_s2am_ard_3-2-1_51JXF_2019-11-21_final
2019-11-21 11:16:10	ga_s2am_ard_3-2-1_52HCK_2019-11-21_final.stac-item
2019-11-21 11:16:10	ga_s2am_ard_3-2-1_52JCL_2019-11-21_final
2019-11-21 11:16:11	ga_s2am_ard_3-2-1_52JBL_2019-11-21_final
2019-11-21 11:16:13	ga_s2am_ard_3-2-1_51JYF_2019-11-21_final
2019-11-21 11:16:15	ga_s2am_ard_3-2-1_51JXF_2019-11-21_final
2019-11-21 11:16:17	ga_s2am_ard_3-2-1_52HCK_2019-11-21_final.stac-item
2019-11-21 11:16:21	ga_s2am_ard_3-2-1_51JWF_2019-11-21_final
2019-11-21 11:16:27	ga_s2am_ard_3-2-1_51HXE_2019-11-21_final
2019-11-21 11:16:31	ga_s2am_ard_3-2-1_51HWE_2019-11-21_final
2019-11-21 11:16:38	ga_s2am_ard_3-2-1_51HYD_2019-11-21_final
2019-11-21 11:16:45	ga_s2am_ard_3-2-1_51HWD_2019-11-21_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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