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
2018-01-21 09:50:58	ga_s2bm_ard_3-2-1_55KGB_2018-01-21_final.stac-item
2018-01-21 09:50:58	ga_s2bm_ard_3-2-1_55LGC_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JGN_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGP_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGQ_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGR_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGS_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGT_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55KGU_2018-01-21_final.stac-item
2018-01-25 09:38:16	ga_s2bm_ard_3-2-1_55GFN_2018-01-25_final.stac-item
2018-01-25 09:38:16	ga_s2bm_ard_3-2-1_55GFP_2018-01-25_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGH_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGJ_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGK_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGL_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGM_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JGN_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55KGP_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55KGQ_2018-01-28_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JGN_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55KGP_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55KGQ_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55KGR_2018-01-31_final.stac-item
2018-11-11 09:35:42	ga_s2bm_ard_3-2-1_55HGE_2018-11-11_final.stac-item
2018-11-11 09:35:47	ga_s2bm_ard_3-2-1_55HFE_2018-11-11_final.stac-item
2018-11-11 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2018-11-11_final.stac-item
2018-11-11 09:36:00	ga_s2bm_ard_3-2-1_55HFD_2018-11-11_final.stac-item
2019-08-24 09:51:20	ga_s2bm_ard_3-2-1_55LGC_2019-08-24_final.stac-item
2019-08-24 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2019-08-24_final.stac-item
2019-08-24 09:52:18	ga_s2bm_ard_3-2-1_55KGU_2019-08-24_final.stac-item
2019-08-24 09:52:33	ga_s2bm_ard_3-2-1_55KGT_2019-08-24_final.stac-item
2019-08-24 09:52:47	ga_s2bm_ard_3-2-1_55KGS_2019-08-24_final.stac-item
2019-08-24 09:52:59	ga_s2bm_ard_3-2-1_55KGR_2019-08-24_final.stac-item
2019-08-24 09:53:06	ga_s2bm_ard_3-2-1_55KGR_2019-08-24_final.stac-item
2019-08-24 09:53:16	ga_s2bm_ard_3-2-1_55KGQ_2019-08-24_final.stac-item
2019-08-24 09:53:30	ga_s2bm_ard_3-2-1_55KGP_2019-08-24_final.stac-item
2019-08-24 09:53:43	ga_s2bm_ard_3-2-1_55JGN_2019-08-24_final.stac-item
2019-08-25 09:28:06	ga_s2bm_ard_3-2-1_55GFR_2019-08-24_final.stac-item
2019-08-25 09:28:21	ga_s2bm_ard_3-2-1_55GFQ_2019-08-24_final.stac-item
2019-08-25 09:28:35	ga_s2bm_ard_3-2-1_55GFP_2019-08-24_final.stac-item
2019-08-25 09:28:49	ga_s2bm_ard_3-2-1_55GFN_2019-08-24_final.stac-item
2019-09-10 09:44:15	ga_s2bm_ard_3-2-1_55JGL_2019-09-10_final.stac-item
2019-09-10 09:44:29	ga_s2bm_ard_3-2-1_55JGK_2019-09-10_final.stac-item
2019-09-10 09:44:44	ga_s2bm_ard_3-2-1_55JGJ_2019-09-10_final.stac-item
2019-09-10 09:44:58	ga_s2bm_ard_3-2-1_55JGH_2019-09-10_final.stac-item
2019-09-10 09:45:12	ga_s2bm_ard_3-2-1_55JGG_2019-09-10_final.stac-item
2019-09-10 09:45:16	ga_s2bm_ard_3-2-1_55JFG_2019-09-10_final.stac-item
2019-09-10 09:45:27	ga_s2bm_ard_3-2-1_55JGF_2019-09-10_final.stac-item
2019-09-10 09:45:31	ga_s2bm_ard_3-2-1_55JFF_2019-09-10_final.stac-item
2019-09-10 09:45:41	ga_s2bm_ard_3-2-1_55HGE_2019-09-10_final.stac-item
2019-09-10 09:45:45	ga_s2bm_ard_3-2-1_55HFE_2019-09-10_final.stac-item
2019-09-10 09:45:56	ga_s2bm_ard_3-2-1_55HGD_2019-09-10_final.stac-item
2019-09-10 09:46:00	ga_s2bm_ard_3-2-1_55HFD_2019-09-10_final.stac-item
2019-09-10 09:46:09	ga_s2bm_ard_3-2-1_55HGC_2019-09-10_final.stac-item
2019-09-10 09:46:14	ga_s2bm_ard_3-2-1_55HFC_2019-09-10_final.stac-item
2019-09-10 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2019-09-10_final.stac-item
2019-09-10 09:46:28	ga_s2bm_ard_3-2-1_55HFB_2019-09-10_final.stac-item
2019-09-13 09:51:16	ga_s2bm_ard_3-2-1_55LGC_2019-09-13_final.stac-item
2019-09-13 09:51:30	ga_s2bm_ard_3-2-1_55KGB_2019-09-13_final.stac-item
2019-09-13 09:52:14	ga_s2bm_ard_3-2-1_55KGU_2019-09-13_final.stac-item
2019-09-13 09:52:28	ga_s2bm_ard_3-2-1_55KGT_2019-09-13_final.stac-item
2019-09-13 09:52:43	ga_s2bm_ard_3-2-1_55KGS_2019-09-13_final.stac-item
2019-09-13 09:52:57	ga_s2bm_ard_3-2-1_55KGR_2019-09-13_final.stac-item
2019-09-13 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2019-09-13_final.stac-item
2019-09-13 09:53:26	ga_s2bm_ard_3-2-1_55KGP_2019-09-13_final.stac-item
2019-09-13 09:53:38	ga_s2bm_ard_3-2-1_55JGN_2019-09-13_final.stac-item
2019-11-06 09:35:44	ga_s2bm_ard_3-2-1_55HGE_2019-11-06_final.stac-item
2019-11-06 09:35:50	ga_s2bm_ard_3-2-1_55HFE_2019-11-06_final.stac-item
2019-11-06 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2019-11-06_final.stac-item
2019-11-06 09:36:02	ga_s2bm_ard_3-2-1_55HFD_2019-11-06_final.stac-item
2019-11-06 09:36:13	ga_s2bm_ard_3-2-1_55HGC_2019-11-06_final.stac-item
2019-11-06 09:36:17	ga_s2bm_ard_3-2-1_55HFC_2019-11-06_final.stac-item
2019-11-06 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2019-11-06_final.stac-item
2019-11-06 09:36:31	ga_s2bm_ard_3-2-1_55HFB_2019-11-06_final.stac-item
2019-11-06 09:36:37	ga_s2bm_ard_3-2-1_55HFA_2019-11-06_final.stac-item
2019-11-06 09:36:37	ga_s2bm_ard_3-2-1_55HFB_2019-11-06_final.stac-item
2019-11-06 09:36:46	ga_s2bm_ard_3-2-1_55HFA_2019-11-06_final.stac-item
2019-11-06 09:37:00	ga_s2bm_ard_3-2-1_55HFV_2019-11-06_final.stac-item
2019-11-06 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-11-06_final.stac-item
2019-11-06 09:38:12	ga_s2bm_ard_3-2-1_55GFQ_2019-11-06_final.stac-item
2019-11-06 09:38:26	ga_s2bm_ard_3-2-1_55GFP_2019-11-06_final.stac-item
2019-11-29 09:43:11	ga_s2bm_ard_3-2-1_55KGQ_2019-11-29_final.stac-item
2019-11-29 09:43:26	ga_s2bm_ard_3-2-1_55KGP_2019-11-29_final.stac-item
2019-11-29 09:43:40	ga_s2bm_ard_3-2-1_55JGN_2019-11-29_final.stac-item
2019-11-29 09:43:55	ga_s2bm_ard_3-2-1_55JGM_2019-11-29_final.stac-item
2019-11-29 09:44:09	ga_s2bm_ard_3-2-1_55JGL_2019-11-29_final.stac-item
2019-11-29 09:44:24	ga_s2bm_ard_3-2-1_55JGK_2019-11-29_final.stac-item
2019-11-29 09:44:38	ga_s2bm_ard_3-2-1_55JGJ_2019-11-29_final.stac-item
2019-11-29 09:44:52	ga_s2bm_ard_3-2-1_55JGH_2019-11-29_final.stac-item
2019-11-29 09:45:07	ga_s2bm_ard_3-2-1_55JGG_2019-11-29_final.stac-item
2019-11-29 09:45:11	ga_s2bm_ard_3-2-1_55JFG_2019-11-29_final.stac-item
2019-11-29 09:45:21	ga_s2bm_ard_3-2-1_55JGF_2019-11-29_final.stac-item
2019-11-29 09:45:25	ga_s2bm_ard_3-2-1_55JFF_2019-11-29_final.stac-item
2019-11-29 09:45:36	ga_s2bm_ard_3-2-1_55HGE_2019-11-29_final.stac-item
2019-11-29 09:45:39	ga_s2bm_ard_3-2-1_55HFE_2019-11-29_final.stac-item
2019-11-29 09:45:50	ga_s2bm_ard_3-2-1_55HGD_2019-11-29_final.stac-item
2019-11-29 09:45:54	ga_s2bm_ard_3-2-1_55HFD_2019-11-29_final.stac-item
2019-11-29 09:46:03	ga_s2bm_ard_3-2-1_55HGC_2019-11-29_final.stac-item
2019-11-29 09:46:08	ga_s2bm_ard_3-2-1_55HFC_2019-11-29_final.stac-item
2019-11-29 09:46:13	ga_s2bm_ard_3-2-1_55HGB_2019-11-29_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

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