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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
2023-08-31 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-31_final.stac-item
2023-09-01 09:29:59	ga_s2am_ard_3-2-1_56LPN_2023-08-31_nrt.stac-item
2023-09-01 09:30:10	ga_s2am_ard_3-2-1_56LPM_2023-09-01_nrt.stac-item
2023-09-01 09:31:36	ga_s2am_ard_3-2-1_56KPF_2023-09-01_nrt.stac-item
2023-09-01 09:31:37	ga_s2am_ard_3-2-1_56KNF_2023-09-01_nrt.stac-item
2023-09-01 09:32:31	ga_s2am_ard_3-2-1_56KPC_2023-09-01_final.stac-item
2023-09-01 09:32:33	ga_s2am_ard_3-2-1_56KNC_2023-09-01_nrt.stac-item
2023-09-01 09:32:35	ga_s2am_ard_3-2-1_56KMC_2023-09-01_nrt.stac-item
2023-09-01 09:32:39	ga_s2am_ard_3-2-1_56KPB_2023-09-01_final.stac-item
2023-09-01 09:32:43	ga_s2am_ard_3-2-1_56KNB_2023-09-01_final.stac-item
2023-09-01 09:32:46	ga_s2am_ard_3-2-1_56KMB_2023-09-01_final.stac-item
2023-09-01 09:32:52	ga_s2am_ard_3-2-1_56KLB_2023-09-01_final.stac-item
2023-09-01 09:32:53	ga_s2am_ard_3-2-1_56KPA_2023-09-01_nrt.stac-item
2023-09-01 09:33:08	ga_s2am_ard_3-2-1_56KPV_2023-09-01_nrt.stac-item
2023-09-01 09:33:12	ga_s2am_ard_3-2-1_56KNV_2023-09-01_nrt.stac-item
2023-09-01 09:33:15	ga_s2am_ard_3-2-1_56KMV_2023-09-01_nrt.stac-item
2023-09-01 09:33:18	ga_s2am_ard_3-2-1_56KLV_2023-09-01_final.stac-item
2023-09-01 09:33:22	ga_s2am_ard_3-2-1_56KPU_2023-09-01_nrt.stac-item
2023-09-01 09:33:26	ga_s2am_ard_3-2-1_56KNU_2023-09-01_nrt.stac-item
2023-09-01 09:33:30	ga_s2am_ard_3-2-1_56KMU_2023-09-01_final.stac-item
2023-09-01 09:33:33	ga_s2am_ard_3-2-1_56KLU_2023-09-01_final.stac-item
2023-09-01 09:33:35	ga_s2am_ard_3-2-1_56JPT_2023-09-01_nrt.stac-item
2023-09-01 09:33:45	ga_s2am_ard_3-2-1_56JPS_2023-09-01_nrt.stac-item
2023-09-01 09:33:55	ga_s2am_ard_3-2-1_56JNS_2023-09-01_final.stac-item
2023-09-01 09:33:59	ga_s2am_ard_3-2-1_56JMS_2023-09-01_final.stac-item
2023-09-01 09:34:06	ga_s2am_ard_3-2-1_56JKS_2023-09-01_final.stac-item
2023-09-01 09:34:10	ga_s2am_ard_3-2-1_56JNR_2023-09-01_final.stac-item
2023-09-01 09:34:13	ga_s2am_ard_3-2-1_56JMR_2023-09-01_final.stac-item
2023-09-01 09:34:19	ga_s2am_ard_3-2-1_56JKR_2023-09-01_final.stac-item
2023-09-01 09:34:31	ga_s2am_ard_3-2-1_56JLQ_2023-09-01_final.stac-item
2023-09-01 09:35:18	ga_s2am_ard_3-2-1_56JKM_2023-09-01_final.stac-item
2023-09-01 09:35:20	ga_s2am_ard_3-2-1_55JGG_2023-09-01_final.stac-item
2023-09-01 09:35:26	ga_s2am_ard_3-2-1_56JML_2023-09-01_final.stac-item
2023-09-01 09:36:27	ga_s2am_ard_3-2-1_56HLG_2023-09-01_final.stac-item
2023-09-01 09:36:37	ga_s2am_ard_3-2-1_55HFB_2023-09-01_final.stac-item
2023-09-01 09:36:55	ga_s2am_ard_3-2-1_55HEA_2023-09-01_final.stac-item
2023-09-01 09:37:00	ga_s2am_ard_3-2-1_56HKE_2023-09-01_final.stac-item
2023-09-01 09:37:01	ga_s2am_ard_3-2-1_55HGV_2023-09-01_final.stac-item
2023-09-01 09:37:44	ga_s2am_ard_3-2-1_56HKB_2023-09-01_nrt.stac-item
2023-09-01 09:37:44	ga_s2am_ard_3-2-1_55HGS_2023-09-01_nrt.stac-item
2023-09-01 09:37:52	ga_s2am_ard_3-2-1_55HES_2023-09-01_final.stac-item
2023-09-01 09:37:56	ga_s2am_ard_3-2-1_55HDS_2023-09-01_final.stac-item
2023-09-01 09:38:24	ga_s2am_ard_3-2-1_55GGP_2023-09-01_nrt.stac-item
2023-09-01 09:38:25	ga_s2am_ard_3-2-1_56GKU_2023-09-01_nrt.stac-item
2023-09-01 09:38:32	ga_s2am_ard_3-2-1_55GFP_2023-09-01_final.stac-item
2023-09-01 09:38:36	ga_s2am_ard_3-2-1_55GEP_2023-09-01_final.stac-item
2023-09-01 09:38:40	ga_s2am_ard_3-2-1_55GDP_2023-09-01_final.stac-item
2023-09-01 09:38:45	ga_s2am_ard_3-2-1_55GCP_2023-09-01_final.stac-item
2023-09-01 11:10:16	ga_s2am_ard_3-2-1_52LHP_2023-09-01_nrt.stac-item
2023-09-01 11:10:41	ga_s2am_ard_3-2-1_52LEN_2023-09-01_nrt.stac-item
2023-09-01 11:10:42	ga_s2am_ard_3-2-1_52LHM_2023-09-01_final.stac-item
2023-09-01 11:10:48	ga_s2am_ard_3-2-1_52LGM_2023-09-01_final.stac-item
2023-09-01 11:10:52	ga_s2am_ard_3-2-1_52LFM_2023-09-01_final.stac-item
2023-09-01 11:11:03	ga_s2am_ard_3-2-1_52LGL_2023-09-01_final.stac-item
2023-09-01 11:11:07	ga_s2am_ard_3-2-1_52LFL_2023-09-01_final.stac-item
2023-09-01 11:11:10	ga_s2am_ard_3-2-1_52LEL_2023-09-01_final.stac-item
2023-09-01 11:11:13	ga_s2am_ard_3-2-1_52LDL_2023-09-01_nrt.stac-item
2023-09-01 11:11:21	ga_s2am_ard_3-2-1_52LFK_2023-09-01_final.stac-item
2023-09-01 11:11:24	ga_s2am_ard_3-2-1_52LEK_2023-09-01_final.stac-item
2023-09-01 11:11:27	ga_s2am_ard_3-2-1_52LDK_2023-09-01_nrt.stac-item
2023-09-01 11:11:36	ga_s2am_ard_3-2-1_52LFJ_2023-09-01_final.stac-item
2023-09-01 11:11:45	ga_s2am_ard_3-2-1_52LGH_2023-09-01_final.stac-item
2023-09-01 11:12:19	ga_s2am_ard_3-2-1_52KFF_2023-09-01_final.stac-item
2023-09-01 11:12:29	ga_s2am_ard_3-2-1_52KCF_2023-09-01_final.stac-item
2023-09-01 11:12:47	ga_s2am_ard_3-2-1_52KFD_2023-09-01_final.stac-item
2023-09-01 11:12:51	ga_s2am_ard_3-2-1_52KED_2023-09-01_final.stac-item
2023-09-01 11:12:58	ga_s2am_ard_3-2-1_52KCD_2023-09-01_final.stac-item
2023-09-01 11:12:59	ga_s2am_ard_3-2-1_52KFC_2023-09-01_final.stac-item
2023-09-01 11:13:06	ga_s2am_ard_3-2-1_52KEC_2023-09-01_final.stac-item
2023-09-01 11:13:09	ga_s2am_ard_3-2-1_52KDC_2023-09-01_final.stac-item
2023-09-01 11:13:13	ga_s2am_ard_3-2-1_52KCC_2023-09-01_final.stac-item
2023-09-01 11:13:18	ga_s2am_ard_3-2-1_52KBC_2023-09-01_final.stac-item
2023-09-01 11:13:20	ga_s2am_ard_3-2-1_52KEB_2023-09-01_final.stac-item
2023-09-01 11:13:24	ga_s2am_ard_3-2-1_52KDB_2023-09-01_final.stac-item
2023-09-01 11:13:27	ga_s2am_ard_3-2-1_52KCB_2023-09-01_final.stac-item
2023-09-01 11:13:31	ga_s2am_ard_3-2-1_52KBB_2023-09-01_final.stac-item
2023-09-01 11:13:42	ga_s2am_ard_3-2-1_52KCA_2023-09-01_final.stac-item
2023-09-01 11:13:44	ga_s2am_ard_3-2-1_52KBA_2023-09-01_final.stac-item
2023-09-01 11:13:49	ga_s2am_ard_3-2-1_52KEV_2023-09-01_final.stac-item
2023-09-01 11:13:53	ga_s2am_ard_3-2-1_52KDV_2023-09-01_final.stac-item
2023-09-01 11:13:56	ga_s2am_ard_3-2-1_52KCV_2023-09-01_final.stac-item
2023-09-01 11:13:59	ga_s2am_ard_3-2-1_52KBV_2023-09-01_final.stac-item
2023-09-01 11:14:02	ga_s2am_ard_3-2-1_52KEU_2023-09-01_final.stac-item
2023-09-01 11:14:07	ga_s2am_ard_3-2-1_52KDU_2023-09-01_final.stac-item
2023-09-01 11:14:11	ga_s2am_ard_3-2-1_52KCU_2023-09-01_final.stac-item
2023-09-01 11:14:28	ga_s2am_ard_3-2-1_52JBT_2023-09-01_final.stac-item
2023-09-01 11:14:36	ga_s2am_ard_3-2-1_52JDS_2023-09-01_final.stac-item
2023-09-01 11:14:43	ga_s2am_ard_3-2-1_52JBS_2023-09-01_final.stac-item
2023-09-01 11:14:46	ga_s2am_ard_3-2-1_51JYM_2023-09-01_final.stac-item
2023-09-01 11:14:51	ga_s2am_ard_3-2-1_52JDR_2023-09-01_final.stac-item
2023-09-01 11:14:58	ga_s2am_ard_3-2-1_52JBR_2023-09-01_final.stac-item
2023-09-01 11:15:09	ga_s2am_ard_3-2-1_52JCQ_2023-09-01_final.stac-item
2023-09-01 11:15:12	ga_s2am_ard_3-2-1_52JBQ_2023-09-01_final.stac-item
2023-09-01 11:15:48	ga_s2am_ard_3-2-1_51JXH_2023-09-01_final.stac-item
2023-09-01 11:15:56	ga_s2am_ard_3-2-1_52JBM_2023-09-01_final.stac-item
2023-09-01 11:15:59	ga_s2am_ard_3-2-1_51JYG_2023-09-01_final.stac-item
2023-09-01 11:16:02	ga_s2am_ard_3-2-1_51JXG_2023-09-01_final.stac-item
2023-09-01 11:16:31	ga_s2am_ard_3-2-1_51HXE_2023-09-01_final.stac-item
2023-09-01 11:16:49	ga_s2am_ard_3-2-1_51HWD_2023-09-01_final.stac-item
2023-09-01 11:16:56	ga_s2am_ard_3-2-1_51HYC_2023-09-01_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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