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
2019-02-12 09:42:46	ga_s2bm_ard_3-2-1_55KGS_2019-02-12_final.stac-item
2019-02-12 09:43:01	ga_s2bm_ard_3-2-1_55KGR_2019-02-12_final.stac-item
2019-02-12 09:43:16	ga_s2bm_ard_3-2-1_55KGQ_2019-02-12_final.stac-item
2019-02-12 09:43:30	ga_s2bm_ard_3-2-1_55KGP_2019-02-12_final.stac-item
2019-02-12 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2019-02-12_final.stac-item
2019-02-12 09:43:59	ga_s2bm_ard_3-2-1_55JGM_2019-02-12_final.stac-item
2019-02-12 09:44:14	ga_s2bm_ard_3-2-1_55JGL_2019-02-12_final.stac-item
2019-02-12 09:44:28	ga_s2bm_ard_3-2-1_55JGK_2019-02-12_final.stac-item
2019-02-12 09:44:42	ga_s2bm_ard_3-2-1_55JGJ_2019-02-12_final.stac-item
2019-02-12 09:44:57	ga_s2bm_ard_3-2-1_55JGH_2019-02-12_final.stac-item
2019-02-12 09:45:11	ga_s2bm_ard_3-2-1_55JGG_2019-02-12_final.stac-item
2019-02-12 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2019-02-12_final.stac-item
2019-02-12 09:45:40	ga_s2bm_ard_3-2-1_55HGE_2019-02-12_final.stac-item
2019-02-12 09:45:48	ga_s2bm_ard_3-2-1_55HGE_2019-02-12_final.stac-item
2019-02-12 09:45:48	ga_s2bm_ard_3-2-1_55HGD_2019-02-12_final.stac-item
2019-02-12 09:45:55	ga_s2bm_ard_3-2-1_55HGD_2019-02-12_final.stac-item
2019-02-15 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2019-02-15_final.stac-item
2019-02-15 09:51:30	ga_s2bm_ard_3-2-1_55KGB_2019-02-15_final.stac-item
2019-02-15 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2019-02-15_final.stac-item
2019-02-15 09:52:28	ga_s2bm_ard_3-2-1_55KGT_2019-02-15_final.stac-item
2019-02-15 09:52:42	ga_s2bm_ard_3-2-1_55KGS_2019-02-15_final.stac-item
2019-02-15 09:52:56	ga_s2bm_ard_3-2-1_55KGR_2019-02-15_final.stac-item
2019-02-15 09:53:11	ga_s2bm_ard_3-2-1_55KGQ_2019-02-15_final.stac-item
2019-02-16 09:28:30	ga_s2bm_ard_3-2-1_55GFP_2019-02-15_final.stac-item
2019-02-16 09:28:44	ga_s2bm_ard_3-2-1_55GFN_2019-02-15_final.stac-item
2019-02-22 09:44:42	ga_s2bm_ard_3-2-1_55JGJ_2019-02-22_final.stac-item
2019-02-22 09:44:51	ga_s2bm_ard_3-2-1_55JGH_2019-02-22_final.stac-item
2019-02-22 09:44:58	ga_s2bm_ard_3-2-1_55JGH_2019-02-22_final.stac-item
2019-02-22 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2019-02-22_final.stac-item
2019-02-22 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2019-02-22_final.stac-item
2019-02-22 09:45:39	ga_s2bm_ard_3-2-1_55HGE_2019-02-22_final.stac-item
2019-02-22 09:45:54	ga_s2bm_ard_3-2-1_55HGD_2019-02-22_final.stac-item
2019-02-25 09:51:14	ga_s2bm_ard_3-2-1_55LGC_2019-02-25_final.stac-item
2019-02-25 09:51:29	ga_s2bm_ard_3-2-1_55KGB_2019-02-25_final.stac-item
2019-02-25 09:52:12	ga_s2bm_ard_3-2-1_55KGU_2019-02-25_final.stac-item
2019-02-25 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2019-02-25_final.stac-item
2019-02-25 09:52:41	ga_s2bm_ard_3-2-1_55KGS_2019-02-25_final.stac-item
2019-02-25 09:52:53	ga_s2bm_ard_3-2-1_55KGR_2019-02-25_final.stac-item
2019-02-25 09:53:00	ga_s2bm_ard_3-2-1_55KGR_2019-02-25_final.stac-item
2019-02-25 09:53:10	ga_s2bm_ard_3-2-1_55KGQ_2019-02-25_final.stac-item
2019-02-26 09:28:29	ga_s2bm_ard_3-2-1_55GFP_2019-02-25_final.stac-item
2019-02-26 09:28:43	ga_s2bm_ard_3-2-1_55GFN_2019-02-25_final.stac-item
2019-07-29 09:35:23	ga_s2bm_ard_3-2-1_55JGG_2019-07-29_final.stac-item
2019-08-08 09:35:22	ga_s2bm_ard_3-2-1_55JGG_2019-08-08_final.stac-item
2019-08-08 09:35:37	ga_s2bm_ard_3-2-1_55JGF_2019-08-08_final.stac-item
2019-08-08 09:35:52	ga_s2bm_ard_3-2-1_55HGE_2019-08-08_final.stac-item
2019-08-08 09:36:06	ga_s2bm_ard_3-2-1_55HGD_2019-08-08_final.stac-item
2019-08-08 09:36:20	ga_s2bm_ard_3-2-1_55HGC_2019-08-08_final.stac-item
2019-08-08 09:36:35	ga_s2bm_ard_3-2-1_55HGB_2019-08-08_final.stac-item
2019-08-08 09:36:49	ga_s2bm_ard_3-2-1_55HGA_2019-08-08_final.stac-item
2019-08-08 09:37:03	ga_s2bm_ard_3-2-1_55HGV_2019-08-08_final.stac-item
2019-08-18 09:38:32	ga_s2bm_ard_3-2-1_55GFP_2019-08-18_final.stac-item
2020-05-04 09:35:12	ga_s2bm_ard_3-2-1_55JGG_2020-05-04_final.stac-item
2020-05-04 09:35:27	ga_s2bm_ard_3-2-1_55JGF_2020-05-04_final.stac-item
2020-05-04 09:35:41	ga_s2bm_ard_3-2-1_55HGE_2020-05-04_final.stac-item
2020-05-04 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2020-05-04_final.stac-item
2020-05-04 09:36:10	ga_s2bm_ard_3-2-1_55HGC_2020-05-04_final.stac-item
2020-05-04 09:36:24	ga_s2bm_ard_3-2-1_55HGB_2020-05-04_final.stac-item
2020-05-04 09:36:39	ga_s2bm_ard_3-2-1_55HGA_2020-05-04_final.stac-item
2020-05-04 09:36:53	ga_s2bm_ard_3-2-1_55HGV_2020-05-04_final.stac-item
2020-05-04 09:38:23	ga_s2bm_ard_3-2-1_55GFP_2020-05-04_final.stac-item
2020-05-14 09:35:14	ga_s2bm_ard_3-2-1_55JGG_2020-05-14_final.stac-item
2020-05-14 09:35:29	ga_s2bm_ard_3-2-1_55JGF_2020-05-14_final.stac-item
2020-05-14 09:35:43	ga_s2bm_ard_3-2-1_55HGE_2020-05-14_final.stac-item
2020-05-14 09:35:58	ga_s2bm_ard_3-2-1_55HGD_2020-05-14_final.stac-item
2020-05-14 09:36:12	ga_s2bm_ard_3-2-1_55HGC_2020-05-14_final.stac-item
2020-05-14 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2020-05-14_final.stac-item
2020-05-14 09:36:41	ga_s2bm_ard_3-2-1_55HGA_2020-05-14_final.stac-item
2020-05-14 09:36:55	ga_s2bm_ard_3-2-1_55HGV_2020-05-14_final.stac-item
2020-05-14 09:38:25	ga_s2bm_ard_3-2-1_55GFP_2020-05-14_final.stac-item
2021-07-18 09:35:17	ga_s2bm_ard_3-2-1_55JGG_2021-07-18_final.stac-item
2021-07-18 09:35:32	ga_s2bm_ard_3-2-1_55JGF_2021-07-18_final.stac-item
2021-07-18 09:35:46	ga_s2bm_ard_3-2-1_55HGE_2021-07-18_final.stac-item
2021-07-18 09:36:01	ga_s2bm_ard_3-2-1_55HGD_2021-07-18_final.stac-item
2021-07-18 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2021-07-18_final.stac-item
2021-07-18 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2021-07-18_final.stac-item
2021-07-18 09:36:44	ga_s2bm_ard_3-2-1_55HGA_2021-07-18_final.stac-item
2021-07-18 09:36:58	ga_s2bm_ard_3-2-1_55HGV_2021-07-18_final.stac-item
2021-07-18 09:37:13	ga_s2bm_ard_3-2-1_55HGU_2021-07-18_final
2021-07-18 09:38:28	ga_s2bm_ard_3-2-1_55GFP_2021-07-18_final.stac-item
2021-08-30 09:43:28	ga_s2bm_ard_3-2-1_55KGP_2021-08-30_final.stac-item
2021-08-30 09:43:42	ga_s2bm_ard_3-2-1_55JGN_2021-08-30_final.stac-item
2021-08-30 09:43:57	ga_s2bm_ard_3-2-1_55JGM_2021-08-30_final.stac-item
2021-08-30 09:44:11	ga_s2bm_ard_3-2-1_55JGL_2021-08-30_final.stac-item
2021-08-30 09:44:25	ga_s2bm_ard_3-2-1_55JGK_2021-08-30_final.stac-item
2021-08-30 09:44:40	ga_s2bm_ard_3-2-1_55JGJ_2021-08-30_final.stac-item
2021-08-30 09:44:54	ga_s2bm_ard_3-2-1_55JGH_2021-08-30_final.stac-item
2021-08-30 09:45:08	ga_s2bm_ard_3-2-1_55JGG_2021-08-30_final.stac-item
2021-08-30 09:45:23	ga_s2bm_ard_3-2-1_55JGF_2021-08-30_final.stac-item
2021-08-30 09:45:37	ga_s2bm_ard_3-2-1_55HGE_2021-08-30_final.stac-item
2021-08-30 09:45:52	ga_s2bm_ard_3-2-1_55HGD_2021-08-30_final.stac-item
2021-09-02 09:51:12	ga_s2bm_ard_3-2-1_55LGC_2021-09-02_final.stac-item
2021-09-02 09:51:27	ga_s2bm_ard_3-2-1_55KGB_2021-09-02_final.stac-item
2021-09-02 09:52:10	ga_s2bm_ard_3-2-1_55KGU_2021-09-02_final.stac-item
2021-09-02 09:52:24	ga_s2bm_ard_3-2-1_55KGT_2021-09-02_final.stac-item
2021-09-02 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2021-09-02_final.stac-item
2021-09-02 09:52:53	ga_s2bm_ard_3-2-1_55KGR_2021-09-02_final.stac-item
2021-09-02 09:53:08	ga_s2bm_ard_3-2-1_55KGQ_2021-09-02_final.stac-item
2021-09-03 09:28:27	ga_s2bm_ard_3-2-1_55GFP_2021-09-02_final.stac-item
2021-09-03 09:28:41	ga_s2bm_ard_3-2-1_55GFN_2021-09-02_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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