Search ga_s2bm_ard_3 on 5th December 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
2021-12-05 09:38:11	ga_s2bm_ard_3-2-1_55GEQ_2021-12-05_final.stac-item
2021-12-05 09:38:15	ga_s2bm_ard_3-2-1_55GDQ_2021-12-05_final.stac-item
2021-12-05 09:38:22	ga_s2bm_ard_3-2-1_55GFP_2021-12-05_final.stac-item
2021-12-05 09:38:26	ga_s2bm_ard_3-2-1_55GEP_2021-12-05_final.stac-item
2021-12-05 09:38:30	ga_s2bm_ard_3-2-1_55GDP_2021-12-05_final.stac-item
2021-12-05 09:38:35	ga_s2bm_ard_3-2-1_55GCP_2021-12-05_final.stac-item
2021-12-05 09:38:36	ga_s2bm_ard_3-2-1_55GFN_2021-12-05_final.stac-item
2021-12-05 09:38:40	ga_s2bm_ard_3-2-1_55GEN_2021-12-05_final.stac-item
2021-12-05 09:38:44	ga_s2bm_ard_3-2-1_55GDN_2021-12-05_final.stac-item
2021-12-05 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2021-12-05_final.stac-item
2021-12-05 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2021-12-05_final
2021-12-05 09:38:57	ga_s2bm_ard_3-2-1_55GDM_2021-12-05_final
2021-12-05 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2021-12-05_final
2021-12-05 11:09:59	ga_s2bm_ard_3-2-1_53LKJ_2021-12-05_final
2021-12-05 11:10:20	ga_s2bm_ard_3-2-1_52LHN_2021-12-05_final.stac-item
2021-12-05 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2021-12-05_final.stac-item
2021-12-05 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2021-12-05_final
2021-12-05 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2021-12-05_final.stac-item
2021-12-05 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2021-12-05_final.stac-item
2021-12-05 11:10:42	ga_s2bm_ard_3-2-1_52LFM_2021-12-05_final
2021-12-05 11:10:42	ga_s2bm_ard_3-2-1_52LHL_2021-12-05_final.stac-item
2021-12-05 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2021-12-05_final.stac-item
2021-12-05 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2021-12-05_final.stac-item
2021-12-05 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2021-12-05_final
2021-12-05 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2021-12-05_final.stac-item
2021-12-05 11:11:08	ga_s2bm_ard_3-2-1_52LFK_2021-12-05_final.stac-item
2021-12-05 11:11:09	ga_s2bm_ard_3-2-1_52LEK_2021-12-05_final
2021-12-05 11:11:13	ga_s2bm_ard_3-2-1_52LGK_2021-12-05_final.stac-item
2021-12-05 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2021-12-05_final.stac-item
2021-12-05 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2021-12-05_final
2021-12-05 11:11:22	ga_s2bm_ard_3-2-1_52LGJ_2021-12-05_final.stac-item
2021-12-05 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2021-12-05_final.stac-item
2021-12-05 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2021-12-05_final.stac-item
2021-12-05 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2021-12-05_final.stac-item
2021-12-05 11:11:35	ga_s2bm_ard_3-2-1_52LGH_2021-12-05_final.stac-item
2021-12-05 11:11:40	ga_s2bm_ard_3-2-1_52LFH_2021-12-05_final.stac-item
2021-12-05 11:11:43	ga_s2bm_ard_3-2-1_52LEH_2021-12-05_final.stac-item
2021-12-05 11:11:45	ga_s2bm_ard_3-2-1_52KGG_2021-12-05_final.stac-item
2021-12-05 11:11:47	ga_s2bm_ard_3-2-1_52LDH_2021-12-05_final.stac-item
2021-12-05 11:11:54	ga_s2bm_ard_3-2-1_52KFG_2021-12-05_final.stac-item
2021-12-05 11:11:58	ga_s2bm_ard_3-2-1_52KEG_2021-12-05_final.stac-item
2021-12-05 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2021-12-05_final.stac-item
2021-12-05 11:12:06	ga_s2bm_ard_3-2-1_52KCG_2021-12-05_final.stac-item
2021-12-05 11:12:09	ga_s2bm_ard_3-2-1_52KFF_2021-12-05_final.stac-item
2021-12-05 11:12:12	ga_s2bm_ard_3-2-1_52KEF_2021-12-05_final.stac-item
2021-12-05 11:12:16	ga_s2bm_ard_3-2-1_52KDF_2021-12-05_final.stac-item
2021-12-05 11:12:19	ga_s2bm_ard_3-2-1_52KCF_2021-12-05_final.stac-item
2021-12-05 11:12:24	ga_s2bm_ard_3-2-1_52KFE_2021-12-05_final.stac-item
2021-12-05 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2021-12-05_final.stac-item
2021-12-05 11:12:30	ga_s2bm_ard_3-2-1_52KDE_2021-12-05_final.stac-item
2021-12-05 11:12:33	ga_s2bm_ard_3-2-1_52KCE_2021-12-05_final.stac-item
2021-12-05 11:12:37	ga_s2bm_ard_3-2-1_52KFD_2021-12-05_final.stac-item
2021-12-05 11:12:41	ga_s2bm_ard_3-2-1_52KED_2021-12-05_final.stac-item
2021-12-05 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2021-12-05_final.stac-item
2021-12-05 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2021-12-05_final.stac-item
2021-12-05 11:12:49	ga_s2bm_ard_3-2-1_52KFC_2021-12-05_final.stac-item
2021-12-05 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2021-12-05_final.stac-item
2021-12-05 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2021-12-05_final.stac-item
2021-12-05 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2021-12-05_final.stac-item
2021-12-05 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2021-12-05_final.stac-item
2021-12-05 11:13:10	ga_s2bm_ard_3-2-1_52KEB_2021-12-05_final.stac-item
2021-12-05 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2021-12-05_final.stac-item
2021-12-05 11:13:17	ga_s2bm_ard_3-2-1_52KCB_2021-12-05_final.stac-item
2021-12-05 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-12-05_final.stac-item
2021-12-05 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2021-12-05_final.stac-item
2021-12-05 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2021-12-05_final.stac-item
2021-12-05 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2021-12-05_final.stac-item
2021-12-05 11:13:32	ga_s2bm_ard_3-2-1_52KCA_2021-12-05_final.stac-item
2021-12-05 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2021-12-05_final.stac-item
2021-12-05 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2021-12-05_final.stac-item
2021-12-05 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2021-12-05_final.stac-item
2021-12-05 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2021-12-05_final.stac-item
2021-12-05 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2021-12-05_final.stac-item
2021-12-05 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2021-12-05_final.stac-item
2021-12-05 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2021-12-05_final.stac-item
2021-12-05 11:13:53	ga_s2bm_ard_3-2-1_52KEU_2021-12-05_final.stac-item
2021-12-05 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2021-12-05_final.stac-item
2021-12-05 11:14:01	ga_s2bm_ard_3-2-1_52KCU_2021-12-05_final.stac-item
2021-12-05 11:14:03	ga_s2bm_ard_3-2-1_52JET_2021-12-05_final.stac-item
2021-12-05 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2021-12-05_final.stac-item
2021-12-05 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2021-12-05_final.stac-item
2021-12-05 11:14:19	ga_s2bm_ard_3-2-1_52JBT_2021-12-05_final.stac-item
2021-12-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2021-12-05_final.stac-item
2021-12-05 11:14:48	ga_s2bm_ard_3-2-1_52JBR_2021-12-05_final.stac-item
2021-12-05 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2021-12-05_final.stac-item
2021-12-05 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2021-12-05_final.stac-item
2021-12-05 11:15:13	ga_s2bm_ard_3-2-1_52JCP_2021-12-05_final.stac-item
2021-12-05 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2021-12-05_final.stac-item
2021-12-05 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2021-12-05_final.stac-item
2021-12-05 11:15:32	ga_s2bm_ard_3-2-1_52JBN_2021-12-05_final.stac-item
2021-12-05 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2021-12-05_final.stac-item
2021-12-05 11:15:46	ga_s2bm_ard_3-2-1_52JBM_2021-12-05_final.stac-item
2021-12-05 11:15:57	ga_s2bm_ard_3-2-1_52JCL_2021-12-05_final.stac-item
2021-12-05 11:16:01	ga_s2bm_ard_3-2-1_52JBL_2021-12-05_final.stac-item
2021-12-05 11:16:15	ga_s2bm_ard_3-2-1_52HBK_2021-12-05_final.stac-item
2021-12-05 11:16:18	ga_s2bm_ard_3-2-1_51HYE_2021-12-05_final.stac-item
2021-12-05 11:16:21	ga_s2bm_ard_3-2-1_51HXE_2021-12-05_final.stac-item
2021-12-05 11:16:26	ga_s2bm_ard_3-2-1_51HWE_2021-12-05_final.stac-item
2021-12-05 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2021-12-05_final.stac-item
2021-12-05 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-05_final.stac-item

Return to ga_s2bm_ard_3 on 5th December 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

December

5th