Search ga_s2bm_ard_3 on 31st 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
2021-12-31 09:54:30	ga_s2bm_ard_3-2-1_55JDK_2021-12-31_final.stac-item
2021-12-31 09:54:33	ga_s2bm_ard_3-2-1_55JCK_2021-12-31_final.stac-item
2021-12-31 09:54:45	ga_s2bm_ard_3-2-1_55JDJ_2021-12-31_final.stac-item
2021-12-31 09:54:48	ga_s2bm_ard_3-2-1_55JCJ_2021-12-31_final.stac-item
2021-12-31 09:54:55	ga_s2bm_ard_3-2-1_55JEH_2021-12-31_final.stac-item
2021-12-31 09:54:59	ga_s2bm_ard_3-2-1_55JDH_2021-12-31_final.stac-item
2021-12-31 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2021-12-31_final.stac-item
2021-12-31 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2021-12-31_final.stac-item
2021-12-31 09:55:10	ga_s2bm_ard_3-2-1_55JEG_2021-12-31_final.stac-item
2021-12-31 09:55:14	ga_s2bm_ard_3-2-1_55JDG_2021-12-31_final.stac-item
2021-12-31 09:55:17	ga_s2bm_ard_3-2-1_55JCG_2021-12-31_final.stac-item
2021-12-31 09:55:20	ga_s2bm_ard_3-2-1_55JBG_2021-12-31_final.stac-item
2021-12-31 09:55:25	ga_s2bm_ard_3-2-1_55JEF_2021-12-31_final.stac-item
2021-12-31 09:55:28	ga_s2bm_ard_3-2-1_55JDF_2021-12-31_final.stac-item
2021-12-31 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2021-12-31_final.stac-item
2021-12-31 09:55:35	ga_s2bm_ard_3-2-1_55JBF_2021-12-31_final.stac-item
2021-12-31 09:55:38	ga_s2bm_ard_3-2-1_55HEE_2021-12-31_final.stac-item
2021-12-31 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2021-12-31_final.stac-item
2021-12-31 09:55:46	ga_s2bm_ard_3-2-1_55HCE_2021-12-31_final.stac-item
2021-12-31 09:55:49	ga_s2bm_ard_3-2-1_55HBE_2021-12-31_final.stac-item
2021-12-31 09:55:50	ga_s2bm_ard_3-2-1_55HED_2021-12-31_final.stac-item
2021-12-31 09:55:53	ga_s2bm_ard_3-2-1_54HYK_2021-12-31_final.stac-item
2021-12-31 09:55:57	ga_s2bm_ard_3-2-1_55HDD_2021-12-31_final.stac-item
2021-12-31 09:56:01	ga_s2bm_ard_3-2-1_55HCD_2021-12-31_final.stac-item
2021-12-31 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2021-12-31_final.stac-item
2021-12-31 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2021-12-31_final.stac-item
2021-12-31 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2021-12-31_final.stac-item
2021-12-31 09:56:15	ga_s2bm_ard_3-2-1_55HCC_2021-12-31_final.stac-item
2021-12-31 09:56:18	ga_s2bm_ard_3-2-1_55HBC_2021-12-31_final.stac-item
2021-12-31 09:56:20	ga_s2bm_ard_3-2-1_54HYH_2021-12-31_final.stac-item
2021-12-31 09:56:27	ga_s2bm_ard_3-2-1_55HDB_2021-12-31_final.stac-item
2021-12-31 09:56:30	ga_s2bm_ard_3-2-1_55HCB_2021-12-31_final.stac-item
2021-12-31 09:56:33	ga_s2bm_ard_3-2-1_55HBB_2021-12-31_final.stac-item
2021-12-31 09:56:35	ga_s2bm_ard_3-2-1_54HYG_2021-12-31_final.stac-item
2021-12-31 09:56:41	ga_s2bm_ard_3-2-1_55HDA_2021-12-31_final.stac-item
2021-12-31 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2021-12-31_final.stac-item
2021-12-31 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2021-12-31_final.stac-item
2021-12-31 09:56:48	ga_s2bm_ard_3-2-1_55HBA_2021-12-31_final.stac-item
2021-12-31 09:56:49	ga_s2bm_ard_3-2-1_54HYF_2021-12-31_final.stac-item
2021-12-31 09:56:53	ga_s2bm_ard_3-2-1_55HDV_2021-12-31_final.stac-item
2021-12-31 09:56:53	ga_s2bm_ard_3-2-1_54HXF_2021-12-31_final.stac-item
2021-12-31 09:56:56	ga_s2bm_ard_3-2-1_55HCV_2021-12-31_final.stac-item
2021-12-31 09:56:58	ga_s2bm_ard_3-2-1_55HBV_2021-12-31_final.stac-item
2021-12-31 09:56:58	ga_s2bm_ard_3-2-1_54HYE_2021-12-31_final.stac-item
2021-12-31 09:56:59	ga_s2bm_ard_3-2-1_54HXF_2021-12-31_final.stac-item
2021-12-31 09:57:00	ga_s2bm_ard_3-2-1_54HXE_2021-12-31_final.stac-item
2021-12-31 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2021-12-31_final.stac-item
2021-12-31 11:34:42	ga_s2bm_ard_3-2-1_51JUM_2021-12-31_final.stac-item
2021-12-31 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2021-12-31_final.stac-item
2021-12-31 11:34:45	ga_s2bm_ard_3-2-1_51JTM_2021-12-31_final.stac-item
2021-12-31 11:34:50	ga_s2bm_ard_3-2-1_51JWL_2021-12-31_final.stac-item
2021-12-31 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2021-12-31_final.stac-item
2021-12-31 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2021-12-31_final.stac-item
2021-12-31 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2021-12-31_final.stac-item
2021-12-31 11:35:04	ga_s2bm_ard_3-2-1_51JWK_2021-12-31_final.stac-item
2021-12-31 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-12-31_final.stac-item
2021-12-31 11:35:11	ga_s2bm_ard_3-2-1_51JUK_2021-12-31_final.stac-item
2021-12-31 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2021-12-31_final.stac-item
2021-12-31 11:35:15	ga_s2bm_ard_3-2-1_51JWJ_2021-12-31_final.stac-item
2021-12-31 11:35:22	ga_s2bm_ard_3-2-1_51JVJ_2021-12-31_final.stac-item
2021-12-31 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2021-12-31_final.stac-item
2021-12-31 11:35:29	ga_s2bm_ard_3-2-1_51JTJ_2021-12-31_final.stac-item
2021-12-31 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2021-12-31_final.stac-item
2021-12-31 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2021-12-31_final.stac-item
2021-12-31 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2021-12-31_final.stac-item
2021-12-31 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-12-31_final.stac-item
2021-12-31 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2021-12-31_final.stac-item
2021-12-31 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2021-12-31_final.stac-item
2021-12-31 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2021-12-31_final.stac-item
2021-12-31 11:35:58	ga_s2bm_ard_3-2-1_51JTG_2021-12-31_final.stac-item
2021-12-31 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2021-12-31_final.stac-item
2021-12-31 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2021-12-31_final.stac-item
2021-12-31 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2021-12-31_final.stac-item
2021-12-31 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-12-31_final.stac-item
2021-12-31 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2021-12-31_final.stac-item
2021-12-31 11:36:19	ga_s2bm_ard_3-2-1_51HVE_2021-12-31_final.stac-item
2021-12-31 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2021-12-31_final.stac-item
2021-12-31 11:36:22	ga_s2bm_ard_3-2-1_51HUE_2021-12-31_final.stac-item
2021-12-31 11:36:24	ga_s2bm_ard_3-2-1_51HTE_2021-12-31_final.stac-item
2021-12-31 11:36:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final.stac-item
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2021-12-31_final.stac-item
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final.stac-item
2021-12-31 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2021-12-31_final.stac-item
2021-12-31 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-12-31_final.stac-item
2021-12-31 11:36:29	ga_s2bm_ard_3-2-1_51HVD_2021-12-31_final.stac-item
2021-12-31 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-12-31_final.stac-item
2021-12-31 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final.stac-item
2021-12-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final.stac-item
2021-12-31 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-12-31_final.stac-item
2021-12-31 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2021-12-31_final.stac-item
2021-12-31 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-31_final.stac-item
2021-12-31 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-12-31_final.stac-item
2021-12-31 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-12-31_final.stac-item
2021-12-31 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-12-31_final.stac-item
2021-12-31 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-12-31_final.stac-item
2021-12-31 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-31_final.stac-item
2021-12-31 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2021-12-31_final
2021-12-31 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2021-12-31_final
2021-12-31 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-31_final
2021-12-31 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2021-12-31_final

Return to ga_s2bm_ard_3 on 31st 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

31st