Search ga_s2bm_ard_3 on 11th June 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
2021-06-11 09:47:30	ga_s2bm_ard_3-2-1_55HBU_2021-06-11_final.stac-item
2021-06-11 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2021-06-11_final.stac-item
2021-06-11 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2021-06-11_final.stac-item
2021-06-11 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2021-06-11_final.stac-item
2021-06-11 09:47:52	ga_s2bm_ard_3-2-1_55HCS_2021-06-11_final.stac-item
2021-06-11 09:47:55	ga_s2bm_ard_3-2-1_55HBS_2021-06-11_final.stac-item
2021-06-11 09:47:56	ga_s2bm_ard_3-2-1_54HYB_2021-06-11_final.stac-item
2021-06-11 09:47:59	ga_s2bm_ard_3-2-1_55GER_2021-06-11_final.stac-item
2021-06-11 09:48:03	ga_s2bm_ard_3-2-1_55GDR_2021-06-11_final.stac-item
2021-06-11 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2021-06-11_final.stac-item
2021-06-11 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2021-06-11_final.stac-item
2021-06-11 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2021-06-11_final.stac-item
2021-06-11 09:48:12	ga_s2bm_ard_3-2-1_55GEQ_2021-06-11_final.stac-item
2021-06-11 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2021-06-11_final.stac-item
2021-06-11 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2021-06-11_final.stac-item
2021-06-11 09:48:23	ga_s2bm_ard_3-2-1_55GEP_2021-06-11_final.stac-item
2021-06-11 09:48:31	ga_s2bm_ard_3-2-1_55GDP_2021-06-11_final.stac-item
2021-06-11 09:48:35	ga_s2bm_ard_3-2-1_55GCP_2021-06-11_final.stac-item
2021-06-11 09:48:46	ga_s2bm_ard_3-2-1_55GDN_2021-06-11_final.stac-item
2021-06-11 09:48:50	ga_s2bm_ard_3-2-1_55GCN_2021-06-11_final.stac-item
2021-06-11 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2021-06-11_final.stac-item
2021-06-11 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2021-06-11_final.stac-item
2021-06-11 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final.stac-item
2021-06-11 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-06-11_final.stac-item
2021-06-11 11:23:20	ga_s2bm_ard_3-2-1_51KYT_2021-06-11_final.stac-item
2021-06-11 11:23:21	ga_s2bm_ard_3-2-1_51KXT_2021-06-11_final.stac-item
2021-06-11 11:23:21	ga_s2bm_ard_3-2-1_51KXS_2021-06-11_final.stac-item
2021-06-11 11:23:22	ga_s2bm_ard_3-2-1_52KCB_2021-06-11_final.stac-item
2021-06-11 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final.stac-item
2021-06-11 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2021-06-11_final.stac-item
2021-06-11 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2021-06-11_final.stac-item
2021-06-11 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2021-06-11_final.stac-item
2021-06-11 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-06-11_final.stac-item
2021-06-11 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-06-11_final.stac-item
2021-06-11 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-06-11_final.stac-item
2021-06-11 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-06-11_final.stac-item
2021-06-11 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2021-06-11_final.stac-item
2021-06-11 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2021-06-11_final.stac-item
2021-06-11 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-06-11_final.stac-item
2021-06-11 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2021-06-11_final.stac-item
2021-06-11 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-06-11_final.stac-item
2021-06-11 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2021-06-11_final.stac-item
2021-06-11 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2021-06-11_final.stac-item
2021-06-11 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2021-06-11_final.stac-item
2021-06-11 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-06-11_final.stac-item
2021-06-11 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2021-06-11_final.stac-item
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final.stac-item
2021-06-11 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2021-06-11_final.stac-item
2021-06-11 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2021-06-11_final.stac-item
2021-06-11 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2021-06-11_final.stac-item
2021-06-11 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2021-06-11_final.stac-item
2021-06-11 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-06-11_final.stac-item
2021-06-11 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2021-06-11_final.stac-item
2021-06-11 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2021-06-11_final.stac-item
2021-06-11 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-06-11_final.stac-item
2021-06-11 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-06-11_final.stac-item
2021-06-11 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2021-06-11_final.stac-item
2021-06-11 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2021-06-11_final.stac-item
2021-06-11 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-06-11_final.stac-item
2021-06-11 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-06-11_final.stac-item
2021-06-11 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2021-06-11_final.stac-item
2021-06-11 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2021-06-11_final.stac-item
2021-06-11 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-06-11_final.stac-item
2021-06-11 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2021-06-11_final.stac-item
2021-06-11 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-06-11_final.stac-item
2021-06-11 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-11_final.stac-item
2021-06-11 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-06-11_final.stac-item
2021-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-11_final.stac-item
2021-06-11 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2021-06-11_final.stac-item
2021-06-11 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-06-11_final.stac-item
2021-06-11 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-06-11_final.stac-item
2021-06-11 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-06-11_final.stac-item
2021-06-11 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2021-06-11_final.stac-item
2021-06-11 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2021-06-11_final.stac-item
2021-06-11 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2021-06-11_final.stac-item
2021-06-11 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2021-06-11_final.stac-item
2021-06-11 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-06-11_final.stac-item
2021-06-11 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2021-06-11_final.stac-item
2021-06-11 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-06-11_final.stac-item
2021-06-11 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2021-06-11_final.stac-item
2021-06-11 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-06-11_final.stac-item
2021-06-11 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2021-06-11_final.stac-item
2021-06-11 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-06-11_final.stac-item
2021-06-11 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-11_final.stac-item
2021-06-11 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2021-06-11_final.stac-item
2021-06-11 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2021-06-11_final.stac-item
2021-06-11 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-11_final.stac-item
2021-06-11 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-06-11_final.stac-item
2021-06-11 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-06-11_final.stac-item
2021-06-11 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2021-06-11_final.stac-item
2021-06-11 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-06-11_final.stac-item
2021-06-11 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2021-06-11_final
2021-06-11 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-11_final
2021-06-11 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final.stac-item
2021-06-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-06-11_final.stac-item
2021-06-11 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2021-06-11_final
2021-06-11 11:27:04	ga_s2bm_ard_3-2-1_51HWC_2021-06-11_final
2021-06-11 11:27:04	ga_s2bm_ard_3-2-1_51HTC_2021-06-11_final.stac-item
2021-06-11 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final.stac-item
2021-06-11 11:27:05	ga_s2bm_ard_3-2-1_51HVB_2021-06-11_final

Return to ga_s2bm_ard_3 on 11th June 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

June

11th