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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
2023-05-14 09:34:05	ga_s2am_ard_3-2-1_56JNR_2023-05-14_final.stac-item
2023-05-14 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-05-14_final.stac-item
2023-05-14 09:34:33	ga_s2am_ard_3-2-1_56JNP_2023-05-14_final.stac-item
2023-05-14 09:34:37	ga_s2am_ard_3-2-1_56JMP_2023-05-14_final.stac-item
2023-05-14 09:35:39	ga_s2am_ard_3-2-1_56HLK_2023-05-14_final.stac-item
2023-05-14 09:35:48	ga_s2am_ard_3-2-1_56HMJ_2023-05-14_final.stac-item
2023-05-14 09:35:50	ga_s2am_ard_3-2-1_55HFE_2023-05-14_final.stac-item
2023-05-14 09:35:53	ga_s2am_ard_3-2-1_56HLJ_2023-05-14_final.stac-item
2023-05-14 09:35:58	ga_s2am_ard_3-2-1_56HMH_2023-05-14_nrt.stac-item
2023-05-14 09:36:02	ga_s2am_ard_3-2-1_55HFD_2023-05-14_final.stac-item
2023-05-14 09:36:08	ga_s2am_ard_3-2-1_56HLH_2023-05-14_final.stac-item
2023-05-14 09:36:17	ga_s2am_ard_3-2-1_55HFC_2023-05-14_final.stac-item
2023-05-14 09:36:26	ga_s2am_ard_3-2-1_56HKG_2023-05-14_final.stac-item
2023-05-14 09:36:28	ga_s2am_ard_3-2-1_55HGB_2023-05-14_final.stac-item
2023-05-14 09:36:37	ga_s2am_ard_3-2-1_56HLF_2023-05-14_nrt.stac-item
2023-05-14 09:36:40	ga_s2am_ard_3-2-1_56HKF_2023-05-14_final.stac-item
2023-05-14 09:36:42	ga_s2am_ard_3-2-1_55HGA_2023-05-14_final.stac-item
2023-05-14 09:36:46	ga_s2am_ard_3-2-1_55HFA_2023-05-14_final.stac-item
2023-05-14 09:36:50	ga_s2am_ard_3-2-1_55HEA_2023-05-14_final.stac-item
2023-05-14 09:37:04	ga_s2am_ard_3-2-1_56HLD_2023-05-14_nrt.stac-item
2023-05-14 09:37:09	ga_s2am_ard_3-2-1_56HKD_2023-05-14_final.stac-item
2023-05-14 09:37:11	ga_s2am_ard_3-2-1_55HGU_2023-05-14_final.stac-item
2023-05-14 09:37:15	ga_s2am_ard_3-2-1_55HFU_2023-05-14_final.stac-item
2023-05-14 09:37:39	ga_s2am_ard_3-2-1_56HKB_2023-05-14_nrt.stac-item
2023-05-14 09:37:39	ga_s2am_ard_3-2-1_55HGS_2023-05-14_nrt.stac-item
2023-05-14 09:37:44	ga_s2am_ard_3-2-1_55HFS_2023-05-14_final.stac-item
2023-05-14 09:37:47	ga_s2am_ard_3-2-1_55HES_2023-05-14_final.stac-item
2023-05-14 09:37:51	ga_s2am_ard_3-2-1_55HDS_2023-05-14_final.stac-item
2023-05-14 09:38:41	ga_s2am_ard_3-2-1_55GFN_2023-05-14_final.stac-item
2023-05-14 09:38:45	ga_s2am_ard_3-2-1_55GEN_2023-05-14_final.stac-item
2023-05-14 09:38:49	ga_s2am_ard_3-2-1_55GDN_2023-05-14_final.stac-item
2023-05-14 09:38:52	ga_s2am_ard_3-2-1_55GCN_2023-05-14_final.stac-item
2023-05-14 09:38:56	ga_s2am_ard_3-2-1_55GFM_2023-05-14_nrt.stac-item
2023-05-14 09:38:59	ga_s2am_ard_3-2-1_55GEM_2023-05-14_final.stac-item
2023-05-14 09:39:02	ga_s2am_ard_3-2-1_55GDM_2023-05-14_final.stac-item
2023-05-14 09:39:03	ga_s2am_ard_3-2-1_55GCM_2023-05-14_final.stac-item
2023-05-14 11:10:25	ga_s2am_ard_3-2-1_52LHN_2023-05-14_final.stac-item
2023-05-14 11:10:29	ga_s2am_ard_3-2-1_52LGN_2023-05-14_final.stac-item
2023-05-14 11:10:32	ga_s2am_ard_3-2-1_52LFN_2023-05-14_final.stac-item
2023-05-14 11:10:36	ga_s2am_ard_3-2-1_52LEN_2023-05-14_nrt.stac-item
2023-05-14 11:10:37	ga_s2am_ard_3-2-1_52LHM_2023-05-14_final.stac-item
2023-05-14 11:10:43	ga_s2am_ard_3-2-1_52LGM_2023-05-14_final.stac-item
2023-05-14 11:10:47	ga_s2am_ard_3-2-1_52LFM_2023-05-14_final.stac-item
2023-05-14 11:10:58	ga_s2am_ard_3-2-1_52LGL_2023-05-14_final.stac-item
2023-05-14 11:11:02	ga_s2am_ard_3-2-1_52LFL_2023-05-14_final.stac-item
2023-05-14 11:11:05	ga_s2am_ard_3-2-1_52LEL_2023-05-14_final.stac-item
2023-05-14 11:11:09	ga_s2am_ard_3-2-1_52LDL_2023-05-14_nrt.stac-item
2023-05-14 11:11:12	ga_s2am_ard_3-2-1_52LGK_2023-05-14_final.stac-item
2023-05-14 11:11:27	ga_s2am_ard_3-2-1_52LGJ_2023-05-14_final.stac-item
2023-05-14 11:11:40	ga_s2am_ard_3-2-1_52LGH_2023-05-14_final.stac-item
2023-05-14 11:11:45	ga_s2am_ard_3-2-1_52LFH_2023-05-14_final.stac-item
2023-05-14 11:11:48	ga_s2am_ard_3-2-1_52LEH_2023-05-14_final.stac-item
2023-05-14 11:11:50	ga_s2am_ard_3-2-1_52KGG_2023-05-14_final.stac-item
2023-05-14 11:11:52	ga_s2am_ard_3-2-1_52LDH_2023-05-14_final.stac-item
2023-05-14 11:11:59	ga_s2am_ard_3-2-1_52KFG_2023-05-14_final.stac-item
2023-05-14 11:12:03	ga_s2am_ard_3-2-1_52KEG_2023-05-14_final.stac-item
2023-05-14 11:12:06	ga_s2am_ard_3-2-1_52KDG_2023-05-14_final.stac-item
2023-05-14 11:12:11	ga_s2am_ard_3-2-1_52KCG_2023-05-14_final.stac-item
2023-05-14 11:12:17	ga_s2am_ard_3-2-1_52KEF_2023-05-14_final.stac-item
2023-05-14 11:12:21	ga_s2am_ard_3-2-1_52KDF_2023-05-14_final.stac-item
2023-05-14 11:12:28	ga_s2am_ard_3-2-1_52KFE_2023-05-14_final.stac-item
2023-05-14 11:12:38	ga_s2am_ard_3-2-1_52KCE_2023-05-14_final.stac-item
2023-05-14 11:12:54	ga_s2am_ard_3-2-1_52KFC_2023-05-14_final.stac-item
2023-05-14 11:13:15	ga_s2am_ard_3-2-1_52KEB_2023-05-14_final.stac-item
2023-05-14 11:13:19	ga_s2am_ard_3-2-1_52KDB_2023-05-14_final.stac-item
2023-05-14 11:13:22	ga_s2am_ard_3-2-1_52KCB_2023-05-14_final.stac-item
2023-05-14 11:13:26	ga_s2am_ard_3-2-1_52KBB_2023-05-14_final.stac-item
2023-05-14 11:13:29	ga_s2am_ard_3-2-1_51KZS_2023-05-14_final.stac-item
2023-05-14 11:13:30	ga_s2am_ard_3-2-1_52KEA_2023-05-14_final.stac-item
2023-05-14 11:13:33	ga_s2am_ard_3-2-1_52KDA_2023-05-14_final.stac-item
2023-05-14 11:13:37	ga_s2am_ard_3-2-1_52KCA_2023-05-14_final.stac-item
2023-05-14 11:13:39	ga_s2am_ard_3-2-1_52KBA_2023-05-14_final.stac-item
2023-05-14 11:13:40	ga_s2am_ard_3-2-1_51KZR_2023-05-14_final.stac-item
2023-05-14 11:13:44	ga_s2am_ard_3-2-1_52KEV_2023-05-14_final.stac-item
2023-05-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-05-14_final.stac-item
2023-05-14 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-05-14_final.stac-item
2023-05-14 11:13:57	ga_s2am_ard_3-2-1_52KEU_2023-05-14_final.stac-item
2023-05-14 11:14:02	ga_s2am_ard_3-2-1_52KDU_2023-05-14_final.stac-item
2023-05-14 11:14:09	ga_s2am_ard_3-2-1_51KZP_2023-05-14_final.stac-item
2023-05-14 11:14:09	ga_s2am_ard_3-2-1_52KBU_2023-05-14_final.stac-item
2023-05-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-05-14_final.stac-item
2023-05-14 11:14:23	ga_s2am_ard_3-2-1_52JBT_2023-05-14_final.stac-item
2023-05-14 11:14:31	ga_s2am_ard_3-2-1_52JDS_2023-05-14_final.stac-item
2023-05-14 11:14:38	ga_s2am_ard_3-2-1_51JZM_2023-05-14_final.stac-item
2023-05-14 11:14:38	ga_s2am_ard_3-2-1_52JBS_2023-05-14_final.stac-item
2023-05-14 11:14:41	ga_s2am_ard_3-2-1_51JYM_2023-05-14_final.stac-item
2023-05-14 11:14:46	ga_s2am_ard_3-2-1_52JDR_2023-05-14_final.stac-item
2023-05-14 11:15:57	ga_s2am_ard_3-2-1_51JXG_2023-05-14_final.stac-item
2023-05-14 11:16:02	ga_s2am_ard_3-2-1_52JCL_2023-05-14_final.stac-item
2023-05-14 11:16:12	ga_s2am_ard_3-2-1_51JXF_2023-05-14_final.stac-item
2023-05-14 11:16:28	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:31	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:33	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:36	ga_s2am_ard_3-2-1_52HBJ_2023-05-14_nrt.stac-item
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final.stac-item
2023-05-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-14_final.stac-item
2023-05-14 11:16:55	ga_s2am_ard_3-2-1_51HXC_2023-05-14_final.stac-item
2023-05-14 11:16:59	ga_s2am_ard_3-2-1_51HWC_2023-05-14_final.stac-item
2023-05-14 11:17:02	ga_s2am_ard_3-2-1_52HBG_2023-05-14_nrt.stac-item
2023-05-14 11:17:03	ga_s2am_ard_3-2-1_51HYB_2023-05-14_nrt.stac-item

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

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