Search ga_s2bm_ard_3 on 2nd October 2021

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
2021-10-02 09:51:12	ga_s2bm_ard_3-2-1_55LHC_2021-10-02_final
2021-10-02 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2021-10-02_final.stac-item
2021-10-02 09:51:18	ga_s2bm_ard_3-2-1_55LFC_2021-10-02_final.stac-item
2021-10-02 09:51:25	ga_s2bm_ard_3-2-1_56KKG_2021-10-02_final
2021-10-02 09:51:26	ga_s2bm_ard_3-2-1_55KHB_2021-10-02_final
2021-10-02 09:51:30	ga_s2bm_ard_3-2-1_55KGB_2021-10-02_final.stac-item
2021-10-02 09:51:33	ga_s2bm_ard_3-2-1_55KFB_2021-10-02_final.stac-item
2021-10-02 09:51:39	ga_s2bm_ard_3-2-1_56KKF_2021-10-02_final.stac-item
2021-10-02 09:51:47	ga_s2bm_ard_3-2-1_55KFA_2021-10-02_final.stac-item
2021-10-02 09:52:05	ga_s2bm_ard_3-2-1_55KEV_2021-10-02_final.stac-item
2021-10-02 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2021-10-02_final.stac-item
2021-10-02 09:52:16	ga_s2bm_ard_3-2-1_55KFU_2021-10-02_final.stac-item
2021-10-02 09:52:20	ga_s2bm_ard_3-2-1_55KEU_2021-10-02_final.stac-item
2021-10-02 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2021-10-02_final.stac-item
2021-10-02 09:52:31	ga_s2bm_ard_3-2-1_55KFT_2021-10-02_final.stac-item
2021-10-02 09:52:34	ga_s2bm_ard_3-2-1_55KET_2021-10-02_final.stac-item
2021-10-02 09:52:35	ga_s2bm_ard_3-2-1_55KHS_2021-10-02_final.stac-item
2021-10-02 09:52:42	ga_s2bm_ard_3-2-1_55KGS_2021-10-02_final.stac-item
2021-10-02 09:52:46	ga_s2bm_ard_3-2-1_55KFS_2021-10-02_final.stac-item
2021-10-02 09:52:49	ga_s2bm_ard_3-2-1_55KES_2021-10-02_final.stac-item
2021-10-02 09:52:55	ga_s2bm_ard_3-2-1_55KDS_2021-10-02_final.stac-item
2021-10-02 09:52:56	ga_s2bm_ard_3-2-1_55KGR_2021-10-02_final.stac-item
2021-10-02 09:53:00	ga_s2bm_ard_3-2-1_55KFR_2021-10-02_final.stac-item
2021-10-02 09:53:03	ga_s2bm_ard_3-2-1_55KER_2021-10-02_final.stac-item
2021-10-02 09:53:07	ga_s2bm_ard_3-2-1_55KDR_2021-10-02_final.stac-item
2021-10-02 09:53:11	ga_s2bm_ard_3-2-1_55KGQ_2021-10-02_final.stac-item
2021-10-02 09:53:14	ga_s2bm_ard_3-2-1_55KFQ_2021-10-02_final.stac-item
2021-10-02 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2021-10-02_final.stac-item
2021-10-02 09:53:21	ga_s2bm_ard_3-2-1_55KDQ_2021-10-02_final.stac-item
2021-10-02 09:53:25	ga_s2bm_ard_3-2-1_55KGP_2021-10-02_final.stac-item
2021-10-02 09:53:29	ga_s2bm_ard_3-2-1_55KFP_2021-10-02_final.stac-item
2021-10-02 09:53:32	ga_s2bm_ard_3-2-1_55KEP_2021-10-02_final.stac-item
2021-10-02 09:53:36	ga_s2bm_ard_3-2-1_55KDP_2021-10-02_final.stac-item
2021-10-02 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2021-10-02_final.stac-item
2021-10-02 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2021-10-02_final.stac-item
2021-10-02 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2021-10-02_final.stac-item
2021-10-02 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2021-10-02_final.stac-item
2021-10-02 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2021-10-02_final.stac-item
2021-10-02 09:53:58	ga_s2bm_ard_3-2-1_55JFM_2021-10-02_final.stac-item
2021-10-02 09:54:02	ga_s2bm_ard_3-2-1_55JEM_2021-10-02_final.stac-item
2021-10-02 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2021-10-02_final.stac-item
2021-10-02 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-10-02_final.stac-item
2021-10-02 09:54:12	ga_s2bm_ard_3-2-1_55JFL_2021-10-02_final.stac-item
2021-10-02 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2021-10-02_final.stac-item
2021-10-02 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2021-10-02_final.stac-item
2021-10-02 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2021-10-02_final.stac-item
2021-10-02 09:54:27	ga_s2bm_ard_3-2-1_55JFK_2021-10-02_final.stac-item
2021-10-02 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2021-10-02_final.stac-item
2021-10-02 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2021-10-02_final.stac-item
2021-10-02 09:54:37	ga_s2bm_ard_3-2-1_55JCK_2021-10-02_final.stac-item
2021-10-02 09:54:40	ga_s2bm_ard_3-2-1_55JFJ_2021-10-02_final.stac-item
2021-10-02 09:54:45	ga_s2bm_ard_3-2-1_55JEJ_2021-10-02_final.stac-item
2021-10-02 09:54:48	ga_s2bm_ard_3-2-1_55JDJ_2021-10-02_final.stac-item
2021-10-02 09:54:50	ga_s2bm_ard_3-2-1_55JFH_2021-10-02_final.stac-item
2021-10-02 09:54:52	ga_s2bm_ard_3-2-1_55JCJ_2021-10-02_final.stac-item
2021-10-02 09:54:59	ga_s2bm_ard_3-2-1_55JEH_2021-10-02_final.stac-item
2021-10-02 09:55:03	ga_s2bm_ard_3-2-1_55JDH_2021-10-02_final.stac-item
2021-10-02 09:55:06	ga_s2bm_ard_3-2-1_55JCH_2021-10-02_final.stac-item
2021-10-02 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2021-10-02_final.stac-item
2021-10-02 09:55:14	ga_s2bm_ard_3-2-1_55JEG_2021-10-02_final.stac-item
2021-10-02 09:55:18	ga_s2bm_ard_3-2-1_55JDG_2021-10-02_final.stac-item
2021-10-02 09:55:21	ga_s2bm_ard_3-2-1_55JCG_2021-10-02_final.stac-item
2021-10-02 09:55:24	ga_s2bm_ard_3-2-1_55JBG_2021-10-02_final.stac-item
2021-10-02 09:55:28	ga_s2bm_ard_3-2-1_55JEF_2021-10-02_final.stac-item
2021-10-02 09:58:01	ga_s2bm_ard_3-2-1_55GCR_2021-10-02_final.stac-item
2021-10-02 09:58:04	ga_s2bm_ard_3-2-1_55GBR_2021-10-02_final.stac-item
2021-10-02 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2021-10-02_final.stac-item
2021-10-02 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-10-02_final.stac-item
2021-10-02 09:58:23	ga_s2bm_ard_3-2-1_55GCP_2021-10-02_final.stac-item
2021-10-02 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2021-10-02_final.stac-item
2021-10-02 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2021-10-02_final.stac-item
2021-10-02 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-10-02_final.stac-item
2021-10-02 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-10-02_final.stac-item
2021-10-02 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2021-10-02_final.stac-item
2021-10-02 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-10-02_final.stac-item
2021-10-02 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2021-10-02_final.stac-item
2021-10-02 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-10-02_final.stac-item
2021-10-02 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2021-10-02_final.stac-item
2021-10-02 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2021-10-02_final.stac-item
2021-10-02 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-02_final.stac-item
2021-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2021-10-02_final.stac-item
2021-10-02 11:32:46	ga_s2bm_ard_3-2-1_51KXU_2021-10-02_final.stac-item
2021-10-02 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2021-10-02_final.stac-item
2021-10-02 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2021-10-02_final.stac-item
2021-10-02 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-10-02_final.stac-item
2021-10-02 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-10-02_final.stac-item
2021-10-02 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-10-02_final.stac-item
2021-10-02 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2021-10-02_final.stac-item
2021-10-02 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-10-02_final.stac-item
2021-10-02 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-10-02_final.stac-item
2021-10-02 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-02_final.stac-item
2021-10-02 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-10-02_final.stac-item
2021-10-02 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2021-10-02_final.stac-item
2021-10-02 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-10-02_final.stac-item
2021-10-02 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-10-02_final.stac-item
2021-10-02 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-10-02_final.stac-item
2021-10-02 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-10-02_final.stac-item
2021-10-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-10-02_final.stac-item
2021-10-02 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-10-02_final.stac-item
2021-10-02 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-10-02_final.stac-item

Return to ga_s2bm_ard_3 on 2nd October 2021 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

2021

October

2nd