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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:

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First 100 results (query limit)

Time (local)	Label
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 09:36:40	ga_s2am_ard_3-2-1_56HKF_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 09:37:25	ga_s2am_ard_3-2-1_55HGT_2023-05-14_nrt.stac-item
2023-05-14 09:37:29	ga_s2am_ard_3-2-1_55HFT_2023-05-14_final.stac-item
2023-05-14 09:37:33	ga_s2am_ard_3-2-1_55HET_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 09:37:40	ga_s2am_ard_3-2-1_55HDT_2023-05-14_final.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 09:37:54	ga_s2am_ard_3-2-1_56GKA_2023-05-14_nrt.stac-item
2023-05-14 09:37:54	ga_s2am_ard_3-2-1_55GGR_2023-05-14_nrt.stac-item
2023-05-14 09:37:58	ga_s2am_ard_3-2-1_55GFR_2023-05-14_final.stac-item
2023-05-14 09:38:02	ga_s2am_ard_3-2-1_55GER_2023-05-14_final.stac-item
2023-05-14 09:38:05	ga_s2am_ard_3-2-1_55GDR_2023-05-14_final.stac-item
2023-05-14 09:38:07	ga_s2am_ard_3-2-1_56GKV_2023-05-14_nrt.stac-item
2023-05-14 09:38:08	ga_s2am_ard_3-2-1_55GGQ_2023-05-14_nrt.stac-item
2023-05-14 09:38:16	ga_s2am_ard_3-2-1_55GEQ_2023-05-14_final.stac-item
2023-05-14 09:38:20	ga_s2am_ard_3-2-1_55GDQ_2023-05-14_final.stac-item
2023-05-14 11:10:04	ga_s2am_ard_3-2-1_53LKJ_2023-05-14_final.stac-item
2023-05-14 11:10:11	ga_s2am_ard_3-2-1_52LHP_2023-05-14_nrt.stac-item
2023-05-14 11:10:15	ga_s2am_ard_3-2-1_52LGP_2023-05-14_nrt.stac-item
2023-05-14 11:10:18	ga_s2am_ard_3-2-1_52LFP_2023-05-14_nrt.stac-item
2023-05-14 11:10:21	ga_s2am_ard_3-2-1_52LEP_2023-05-14_nrt.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 11:10:50	ga_s2am_ard_3-2-1_52LEM_2023-05-14_nrt.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 11:11:16	ga_s2am_ard_3-2-1_52LFK_2023-05-14_final.stac-item
2023-05-14 11:11:19	ga_s2am_ard_3-2-1_52LEK_2023-05-14_final.stac-item
2023-05-14 11:11:22	ga_s2am_ard_3-2-1_52LDK_2023-05-14_nrt.stac-item
2023-05-14 11:11:27	ga_s2am_ard_3-2-1_52LGJ_2023-05-14_final.stac-item
2023-05-14 11:11:30	ga_s2am_ard_3-2-1_52LFJ_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 11:11:50	ga_s2am_ard_3-2-1_52KGG_2023-05-14_final.stac-item
2023-05-14 11:12:14	ga_s2am_ard_3-2-1_52KFF_2023-05-14_final.stac-item
2023-05-14 11:12:24	ga_s2am_ard_3-2-1_52KCF_2023-05-14_final.stac-item
2023-05-14 11:12:32	ga_s2am_ard_3-2-1_52KEE_2023-05-14_final.stac-item
2023-05-14 11:12:35	ga_s2am_ard_3-2-1_52KDE_2023-05-14_final.stac-item
2023-05-14 11:12:42	ga_s2am_ard_3-2-1_52KFD_2023-05-14_final.stac-item
2023-05-14 11:12:46	ga_s2am_ard_3-2-1_52KED_2023-05-14_final.stac-item
2023-05-14 11:12:50	ga_s2am_ard_3-2-1_52KDD_2023-05-14_final.stac-item
2023-05-14 11:12:53	ga_s2am_ard_3-2-1_52KCD_2023-05-14_final.stac-item
2023-05-14 11:13:01	ga_s2am_ard_3-2-1_52KEC_2023-05-14_final.stac-item
2023-05-14 11:13:04	ga_s2am_ard_3-2-1_52KDC_2023-05-14_final.stac-item
2023-05-14 11:13:08	ga_s2am_ard_3-2-1_52KCC_2023-05-14_final.stac-item
2023-05-14 11:13:13	ga_s2am_ard_3-2-1_52KBC_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 11:13:44	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 11:13:51	ga_s2am_ard_3-2-1_52KCV_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 11:13:54	ga_s2am_ard_3-2-1_52KBV_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 11:14:06	ga_s2am_ard_3-2-1_52KCU_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_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 11:15:12	ga_s2am_ard_3-2-1_52JDP_2023-05-14_final.stac-item
2023-05-14 11:15:22	ga_s2am_ard_3-2-1_52JBP_2023-05-14_final.stac-item
2023-05-14 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2023-05-14_final.stac-item
2023-05-14 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2023-05-14_final.stac-item
2023-05-14 11:15:43	ga_s2am_ard_3-2-1_51JXH_2023-05-14_final.stac-item
2023-05-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_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 11:16:33	ga_s2am_ard_3-2-1_51HWE_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 11:16:49	ga_s2am_ard_3-2-1_52HBH_2023-05-14_nrt.stac-item
2023-05-14 11:16:51	ga_s2am_ard_3-2-1_51HYC_2023-05-14_nrt.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
2023-05-14 11:17:05	ga_s2am_ard_3-2-1_51HXB_2023-05-14_final.stac-item
2023-05-14 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-05-14_final.stac-item
2023-05-15 09:05:10	ga_s2am_ard_3-2-1_57JWF_2023-05-14_final.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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