Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2021-10-31 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-10-31_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2021-10-31_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_49JGH_2021-10-31_final
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final.stac-item
2021-10-31 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2021-10-31 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-10-31_final.stac-item
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final.stac-item
2021-10-31 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2021-10-31_final
2021-10-31 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-31_final.stac-item
2021-10-31 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-10-31_final.stac-item
2021-10-31 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2021-10-31_final.stac-item
2021-10-31 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2021-10-31_final.stac-item
2021-11-01 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2021-11-01_final
2021-11-01 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2021-11-01_final.stac-item
2021-11-01 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2021-11-01_final.stac-item
2021-11-01 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2021-11-01_final
2021-11-01 09:51:27	ga_s2bm_ard_3-2-1_55KHB_2021-11-01_final
2021-11-01 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2021-11-01_final.stac-item
2021-11-01 09:51:34	ga_s2bm_ard_3-2-1_55KFB_2021-11-01_final.stac-item
2021-11-01 09:51:41	ga_s2bm_ard_3-2-1_56KKF_2021-11-01_final.stac-item
2021-11-01 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2021-11-01_final.stac-item
2021-11-01 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2021-11-01_final.stac-item
2021-11-01 09:52:14	ga_s2bm_ard_3-2-1_55KGU_2021-11-01_final.stac-item
2021-11-01 09:52:18	ga_s2bm_ard_3-2-1_55KFU_2021-11-01_final.stac-item
2021-11-01 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2021-11-01_final.stac-item
2021-11-01 09:52:29	ga_s2bm_ard_3-2-1_55KGT_2021-11-01_final.stac-item
2021-11-01 09:52:32	ga_s2bm_ard_3-2-1_55KFT_2021-11-01_final.stac-item
2021-11-01 09:52:36	ga_s2bm_ard_3-2-1_55KET_2021-11-01_final.stac-item
2021-11-01 09:52:36	ga_s2bm_ard_3-2-1_55KHS_2021-11-01_final.stac-item
2021-11-01 09:52:43	ga_s2bm_ard_3-2-1_55KGS_2021-11-01_final.stac-item
2021-11-01 09:52:47	ga_s2bm_ard_3-2-1_55KFS_2021-11-01_final.stac-item
2021-11-01 09:52:50	ga_s2bm_ard_3-2-1_55KES_2021-11-01_final.stac-item
2021-11-01 09:52:56	ga_s2bm_ard_3-2-1_55KDS_2021-11-01_final.stac-item
2021-11-01 09:52:58	ga_s2bm_ard_3-2-1_55KGR_2021-11-01_final.stac-item
2021-11-01 09:53:01	ga_s2bm_ard_3-2-1_55KFR_2021-11-01_final.stac-item
2021-11-01 09:53:05	ga_s2bm_ard_3-2-1_55KER_2021-11-01_final.stac-item
2021-11-01 09:53:08	ga_s2bm_ard_3-2-1_55KDR_2021-11-01_final.stac-item
2021-11-01 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2021-11-01_final.stac-item
2021-11-01 09:53:16	ga_s2bm_ard_3-2-1_55KFQ_2021-11-01_final.stac-item
2021-11-01 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2021-11-01_final.stac-item
2021-11-01 09:53:22	ga_s2bm_ard_3-2-1_55KDQ_2021-11-01_final.stac-item
2021-11-01 09:53:26	ga_s2bm_ard_3-2-1_55KGP_2021-11-01_final.stac-item
2021-11-01 09:53:30	ga_s2bm_ard_3-2-1_55KFP_2021-11-01_final.stac-item
2021-11-01 09:53:34	ga_s2bm_ard_3-2-1_55KEP_2021-11-01_final.stac-item
2021-11-01 09:53:37	ga_s2bm_ard_3-2-1_55KDP_2021-11-01_final.stac-item
2021-11-01 09:53:38	ga_s2bm_ard_3-2-1_55JGN_2021-11-01_final.stac-item
2021-11-01 09:53:45	ga_s2bm_ard_3-2-1_55JFN_2021-11-01_final.stac-item
2021-11-01 09:53:48	ga_s2bm_ard_3-2-1_55JEN_2021-11-01_final.stac-item
2021-11-01 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2021-11-01_final.stac-item
2021-11-01 09:53:59	ga_s2bm_ard_3-2-1_55JCN_2021-11-01_final.stac-item
2021-11-01 09:53:59	ga_s2bm_ard_3-2-1_55JFM_2021-11-01_final.stac-item
2021-11-01 09:54:03	ga_s2bm_ard_3-2-1_55JEM_2021-11-01_final.stac-item
2021-11-01 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2021-11-01_final.stac-item
2021-11-01 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-11-01_final.stac-item
2021-11-01 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2021-11-01_final.stac-item
2021-11-01 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2021-11-01_final.stac-item
2021-11-01 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2021-11-01_final.stac-item
2021-11-01 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2021-11-01_final.stac-item
2021-11-01 09:54:28	ga_s2bm_ard_3-2-1_55JFK_2021-11-01_final.stac-item
2021-11-01 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2021-11-01_final.stac-item
2021-11-01 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2021-11-01_final.stac-item
2021-11-01 09:54:39	ga_s2bm_ard_3-2-1_55JCK_2021-11-01_final.stac-item
2021-11-01 09:54:41	ga_s2bm_ard_3-2-1_55JFJ_2021-11-01_final.stac-item
2021-11-01 09:54:46	ga_s2bm_ard_3-2-1_55JEJ_2021-11-01_final.stac-item
2021-11-01 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2021-11-01_final.stac-item
2021-11-01 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2021-11-01_final.stac-item
2021-11-01 09:54:53	ga_s2bm_ard_3-2-1_55JCJ_2021-11-01_final.stac-item
2021-11-01 09:55:01	ga_s2bm_ard_3-2-1_55JEH_2021-11-01_final.stac-item
2021-11-01 09:55:05	ga_s2bm_ard_3-2-1_55JDH_2021-11-01_final.stac-item
2021-11-01 09:55:08	ga_s2bm_ard_3-2-1_55JCH_2021-11-01_final.stac-item
2021-11-01 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2021-11-01_final.stac-item
2021-11-01 09:55:15	ga_s2bm_ard_3-2-1_55JEG_2021-11-01_final.stac-item
2021-11-01 09:55:19	ga_s2bm_ard_3-2-1_55JDG_2021-11-01_final.stac-item
2021-11-01 09:55:22	ga_s2bm_ard_3-2-1_55JCG_2021-11-01_final.stac-item
2021-11-01 09:55:25	ga_s2bm_ard_3-2-1_55JBG_2021-11-01_final.stac-item
2021-11-01 09:55:29	ga_s2bm_ard_3-2-1_55JEF_2021-11-01_final.stac-item
2021-11-01 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2021-11-01_final.stac-item
2021-11-01 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2021-11-01_final.stac-item
2021-11-01 09:58:06	ga_s2bm_ard_3-2-1_54GYA_2021-11-01_final.stac-item
2021-11-01 09:58:14	ga_s2bm_ard_3-2-1_55GCQ_2021-11-01_final.stac-item
2021-11-01 09:58:24	ga_s2bm_ard_3-2-1_55GCP_2021-11-01_final.stac-item
2021-11-01 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2021-11-01_final.stac-item
2021-11-01 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-11-01_final.stac-item
2021-11-01 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2021-11-01_final.stac-item
2021-11-01 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-11-01_final.stac-item
2021-11-01 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2021-11-01_final.stac-item
2021-11-01 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-11-01_final.stac-item
2021-11-01 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-11-01_final.stac-item
2021-11-01 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-11-01_final.stac-item
2021-11-01 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-11-01_final.stac-item
2021-11-01 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-11-01_final.stac-item
2021-11-01 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-11-01_final.stac-item
2021-11-01 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-11-01_final.stac-item
2021-11-01 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-11-01_final.stac-item
2021-11-01 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-11-01_final.stac-item
2021-11-01 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-11-01_final.stac-item
2021-11-01 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-11-01_final.stac-item
2021-11-01 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-11-01_final.stac-item
2021-11-01 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-01_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years